ML Engineer Jobs in Bogota.
All active ML Engineer roles based in Bogota.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
The salary range for this role is $50,000 - $120,000 per year (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.
You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.
Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.
What You'll Do:
- Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
- Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
- Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
- Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
- Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
- Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
- Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
- Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.
What We Look For:
- Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
- At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.
Preferred Qualifications:
- Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
- Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
- Proficiency with Python is required, and experience with Golang is a plus.
- Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
- Experience working with relational databases, data warehouses, and using SQL to explore them.
- Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
- Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
- Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
- Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
- You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
- You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is $50,000 - $120,000 per year (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.
You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.
Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.
What You'll Do:
- Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
- Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
- Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
- Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
- Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
- Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
- Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
- Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.
What We Look For:
- Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
- At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.
Preferred Qualifications:
- Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
- Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
- Proficiency with Python is required, and experience with Golang is a plus.
- Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
- Experience working with relational databases, data warehouses, and using SQL to explore them.
- Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
- Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
- Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
- Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
- You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
- You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is $50,000 - $120,000 per year (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.
You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.
Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.
What You'll Do:
- Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
- Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
- Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
- Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
- Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
- Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
- Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
- Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.
What We Look For:
- Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
- At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.
Preferred Qualifications:
- Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
- Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
- Proficiency with Python is required, and experience with Golang is a plus.
- Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
- Experience working with relational databases, data warehouses, and using SQL to explore them.
- Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
- Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
- Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
- Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
- You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
- You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is $50,000 - $120,000 per year (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.
You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.
Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.
What You'll Do:
- Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
- Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
- Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
- Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
- Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
- Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
- Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
- Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.
What We Look For:
- Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
- At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.
Preferred Qualifications:
- Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
- Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
- Proficiency with Python is required, and experience with Golang is a plus.
- Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
- Experience working with relational databases, data warehouses, and using SQL to explore them.
- Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
- Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
- Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
- Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
- You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
- You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is $50,000 - $120,000 per year (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.
You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.
Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.
What You'll Do:
- Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
- Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
- Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
- Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
- Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
- Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
- Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
- Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.
What We Look For:
- Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
- At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.
Preferred Qualifications:
- Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
- Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
- Proficiency with Python is required, and experience with Golang is a plus.
- Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
- Experience working with relational databases, data warehouses, and using SQL to explore them.
- Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
- Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
- Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
- Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
- You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
- You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is $6,000 - $12,500 per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
Compensation:
For this principal development role, with 12+ years of experience, the compensation range is $6,000 - $12,500 per month. This range acknowledges the extensive expertise, leadership capabilities, and significant contributions expected at this level, offering a competitive salary to reflect the value of advanced skills and experience.
Interview Process
We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.
- Application submitted (you are here)
- Wonderlic test (30-40 min)
- Interview with recruiters (30 min)
- Coding assessment (~1.5 hours)
- Interview with engineers (1 hour)
- Interview with engineering leadership (30-45 min)
- Offer!
About the Role:
We are seeking a talented and motivated best-in-class Principal Software Engineer. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.
As a Principal Software Engineer with Sezzle, you will work with highly-motivated teams to tackle interesting and challenging problems across multiple areas of the organization. Your experience and guidance will help other members of the team level-up their own skills as well. You will spend your time working with AI/ML tooling to identify creative uses to fill existing and emerging gaps in the applications.
In this backend focused role, you will work closely with stakeholders from Product, Support and the business. You’ll also partner with other engineering teams to provide high-quality, scalable, and innovative solutions to internal and customer problems. Your day-to-day responsibilities will include designing, developing, and delivering new features, as well as unblocking and mentoring your teammates. Your work will generally focus on the lower level features and optimizations.
This role has both an internal and external focus, your contributions will make a meaningful difference in the day-to-day lives of your peers at Sezzle, enhancing their ability to support our business and customers, and you will have opportunities to take any feedback and iterate.
What You'll Do:
- Architect, design, and build scalable backend services and APIs primarily in Golang, leveraging AWS, RDS (MySQL/Postgres), and modern distributed patterns.
- Lead Sezzle’s AI enablement efforts, identifying opportunities to apply AI and automation to enhance developer productivity, internal tooling, and customer experiences.
- Partner with teams across the organization to integrate modern AI capabilities - Primarily around tools like Claude Code, Codex, Cursor and enhancing team productivity.
- Drive consistency and scalability across a distributed microservices architecture while maintaining performance and reliability.
- Establish and evolve engineering best practices for observability, security, and CI/CD across teams.
- Mentor engineers and champion a culture of learning, innovation, and operational excellence.
- Collaborate cross-functionally to translate business goals into technical roadmaps and deliver results that matter.
What We Look For:
- 12+ years of professional software engineering experience, including significant backend experience.
- Deployed significant changes to a production application in the past 30 days.
- Strong proficiency in Golang, with experience building and maintaining RESTful APIs.
- Expertise with SQL-based RDBMS (MySQL, PostgreSQL) and experience optimizing schema and queries for performance at scale.
- Solid understanding of distributed systems design patterns (e.g., transactional outbox, event-driven architecture, queues).
- Demonstrated ability to bring new ideas forward, influence decisions, and lead complex technical initiatives.
- Bachelor’s degree in Computer Science or equivalent practical experience.
Preferred Knowledge and Skills:
- Proficiency in observability tools (Prometheus, Grafana, Datadog, New Relic).
- Experience with AWS cloud infrastructure, mainly AWS Aurora RDS, both MySQL and Postgres.
- Experience in fintech, payments, BNPL, or consumer lending - familiarity with financial compliance, credit decisioning, or transaction processing systems.
- Experience with CI/CD pipelines and containerized microservices (Docker, Kubernetes).
- Working knowledge of TypeScript, React, or React Native.
- Familiarity with AI/ML tooling (e.g., OpenAI API, LangChain, Hugging Face, or custom LLM integrations).
- Track record of shipping commercial APIs and data-driven applications in high-growth environments.
- Proven leadership in guiding technical direction, improving system reliability, and scaling engineering organizations.
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
- You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
- You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.
Sezzle’s Technology Stack:
- Languages: Golang, Typescript, Python
- Frontend: Typescript - React and React Native
- Backend: Golang
- Database: MySQL, Postgres, Elasticsearch
- DevOps & Cloud: AWS, Kubernetes
- Version Control: Git
- CI/CD: Gitlab
- Testing: Developer and AI-driven, focus on automated end-to-end, integration, and unit tests
- Open Source: Sezzle is focused on using open source, and we build what we can before buying!
What Makes Working at Sezzle Awesome?
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is $6,000 - $12,500 per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
Compensation:
For this principal development role, with 12+ years of experience, the compensation range is $6,000 - $12,500 per month. This range acknowledges the extensive expertise, leadership capabilities, and significant contributions expected at this level, offering a competitive salary to reflect the value of advanced skills and experience.
Interview Process
We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.
- Application submitted (you are here)
- Wonderlic test (30-40 min)
- Interview with recruiters (30 min)
- Coding assessment (~1.5 hours)
- Interview with engineers (1 hour)
- Interview with engineering leadership (30-45 min)
- Offer!
About the Role:
We are seeking a talented and motivated best-in-class Principal Software Engineer. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.
As a Principal Software Engineer with Sezzle, you will work with highly-motivated teams to tackle interesting and challenging problems across multiple areas of the organization. Your experience and guidance will help other members of the team level-up their own skills as well. You will spend your time working with AI/ML tooling to identify creative uses to fill existing and emerging gaps in the applications.
In this backend focused role, you will work closely with stakeholders from Product, Support and the business. You’ll also partner with other engineering teams to provide high-quality, scalable, and innovative solutions to internal and customer problems. Your day-to-day responsibilities will include designing, developing, and delivering new features, as well as unblocking and mentoring your teammates. Your work will generally focus on the lower level features and optimizations.
This role has both an internal and external focus, your contributions will make a meaningful difference in the day-to-day lives of your peers at Sezzle, enhancing their ability to support our business and customers, and you will have opportunities to take any feedback and iterate.
What You'll Do:
- Architect, design, and build scalable backend services and APIs primarily in Golang, leveraging AWS, RDS (MySQL/Postgres), and modern distributed patterns.
- Lead Sezzle’s AI enablement efforts, identifying opportunities to apply AI and automation to enhance developer productivity, internal tooling, and customer experiences.
- Partner with teams across the organization to integrate modern AI capabilities - Primarily around tools like Claude Code, Codex, Cursor and enhancing team productivity.
- Drive consistency and scalability across a distributed microservices architecture while maintaining performance and reliability.
- Establish and evolve engineering best practices for observability, security, and CI/CD across teams.
- Mentor engineers and champion a culture of learning, innovation, and operational excellence.
- Collaborate cross-functionally to translate business goals into technical roadmaps and deliver results that matter.
What We Look For:
- 12+ years of professional software engineering experience, including significant backend experience.
- Deployed significant changes to a production application in the past 30 days.
- Strong proficiency in Golang, with experience building and maintaining RESTful APIs.
- Expertise with SQL-based RDBMS (MySQL, PostgreSQL) and experience optimizing schema and queries for performance at scale.
- Solid understanding of distributed systems design patterns (e.g., transactional outbox, event-driven architecture, queues).
- Demonstrated ability to bring new ideas forward, influence decisions, and lead complex technical initiatives.
- Bachelor’s degree in Computer Science or equivalent practical experience.
Preferred Knowledge and Skills:
- Proficiency in observability tools (Prometheus, Grafana, Datadog, New Relic).
- Experience with AWS cloud infrastructure, mainly AWS Aurora RDS, both MySQL and Postgres.
- Experience in fintech, payments, BNPL, or consumer lending - familiarity with financial compliance, credit decisioning, or transaction processing systems.
- Experience with CI/CD pipelines and containerized microservices (Docker, Kubernetes).
- Working knowledge of TypeScript, React, or React Native.
- Familiarity with AI/ML tooling (e.g., OpenAI API, LangChain, Hugging Face, or custom LLM integrations).
- Track record of shipping commercial APIs and data-driven applications in high-growth environments.
- Proven leadership in guiding technical direction, improving system reliability, and scaling engineering organizations.
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
- You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
- You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.
Sezzle’s Technology Stack:
- Languages: Golang, Typescript, Python
- Frontend: Typescript - React and React Native
- Backend: Golang
- Database: MySQL, Postgres, Elasticsearch
- DevOps & Cloud: AWS, Kubernetes
- Version Control: Git
- CI/CD: Gitlab
- Testing: Developer and AI-driven, focus on automated end-to-end, integration, and unit tests
- Open Source: Sezzle is focused on using open source, and we build what we can before buying!
What Makes Working at Sezzle Awesome?
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is $6,000 - $12,500 per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
Compensation:
For this principal development role, with 12+ years of experience, the compensation range is $6,000 - $12,500 per month. This range acknowledges the extensive expertise, leadership capabilities, and significant contributions expected at this level, offering a competitive salary to reflect the value of advanced skills and experience.
Interview Process
We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.
- Application submitted (you are here)
- Wonderlic test (30-40 min)
- Interview with recruiters (30 min)
- Coding assessment (~1.5 hours)
- Interview with engineers (1 hour)
- Interview with engineering leadership (30-45 min)
- Offer!
About the Role:
We are seeking a talented and motivated best-in-class Principal Software Engineer. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.
As a Principal Software Engineer with Sezzle, you will work with highly-motivated teams to tackle interesting and challenging problems across multiple areas of the organization. Your experience and guidance will help other members of the team level-up their own skills as well. You will spend your time working with AI/ML tooling to identify creative uses to fill existing and emerging gaps in the applications.
In this backend focused role, you will work closely with stakeholders from Product, Support and the business. You’ll also partner with other engineering teams to provide high-quality, scalable, and innovative solutions to internal and customer problems. Your day-to-day responsibilities will include designing, developing, and delivering new features, as well as unblocking and mentoring your teammates. Your work will generally focus on the lower level features and optimizations.
This role has both an internal and external focus, your contributions will make a meaningful difference in the day-to-day lives of your peers at Sezzle, enhancing their ability to support our business and customers, and you will have opportunities to take any feedback and iterate.
What You'll Do:
- Architect, design, and build scalable backend services and APIs primarily in Golang, leveraging AWS, RDS (MySQL/Postgres), and modern distributed patterns.
- Lead Sezzle’s AI enablement efforts, identifying opportunities to apply AI and automation to enhance developer productivity, internal tooling, and customer experiences.
- Partner with teams across the organization to integrate modern AI capabilities - Primarily around tools like Claude Code, Codex, Cursor and enhancing team productivity.
- Drive consistency and scalability across a distributed microservices architecture while maintaining performance and reliability.
- Establish and evolve engineering best practices for observability, security, and CI/CD across teams.
- Mentor engineers and champion a culture of learning, innovation, and operational excellence.
- Collaborate cross-functionally to translate business goals into technical roadmaps and deliver results that matter.
What We Look For:
- 12+ years of professional software engineering experience, including significant backend experience.
- Deployed significant changes to a production application in the past 30 days.
- Strong proficiency in Golang, with experience building and maintaining RESTful APIs.
- Expertise with SQL-based RDBMS (MySQL, PostgreSQL) and experience optimizing schema and queries for performance at scale.
- Solid understanding of distributed systems design patterns (e.g., transactional outbox, event-driven architecture, queues).
- Demonstrated ability to bring new ideas forward, influence decisions, and lead complex technical initiatives.
- Bachelor’s degree in Computer Science or equivalent practical experience.
Preferred Knowledge and Skills:
- Proficiency in observability tools (Prometheus, Grafana, Datadog, New Relic).
- Experience with AWS cloud infrastructure, mainly AWS Aurora RDS, both MySQL and Postgres.
- Experience in fintech, payments, BNPL, or consumer lending - familiarity with financial compliance, credit decisioning, or transaction processing systems.
- Experience with CI/CD pipelines and containerized microservices (Docker, Kubernetes).
- Working knowledge of TypeScript, React, or React Native.
- Familiarity with AI/ML tooling (e.g., OpenAI API, LangChain, Hugging Face, or custom LLM integrations).
- Track record of shipping commercial APIs and data-driven applications in high-growth environments.
- Proven leadership in guiding technical direction, improving system reliability, and scaling engineering organizations.
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
- You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
- You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.
Sezzle’s Technology Stack:
- Languages: Golang, Typescript, Python
- Frontend: Typescript - React and React Native
- Backend: Golang
- Database: MySQL, Postgres, Elasticsearch
- DevOps & Cloud: AWS, Kubernetes
- Version Control: Git
- CI/CD: Gitlab
- Testing: Developer and AI-driven, focus on automated end-to-end, integration, and unit tests
- Open Source: Sezzle is focused on using open source, and we build what we can before buying!
What Makes Working at Sezzle Awesome?
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is $6,000 - $12,500 per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
Compensation:
For this principal development role, with 12+ years of experience, the compensation range is $6,000 - $12,500 per month. This range acknowledges the extensive expertise, leadership capabilities, and significant contributions expected at this level, offering a competitive salary to reflect the value of advanced skills and experience.
Interview Process
We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.
- Application submitted (you are here)
- Wonderlic test (30-40 min)
- Interview with recruiters (30 min)
- Coding assessment (~1.5 hours)
- Interview with engineers (1 hour)
- Interview with engineering leadership (30-45 min)
- Offer!
About the Role:
We are seeking a talented and motivated best-in-class Principal Software Engineer. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.
As a Principal Software Engineer with Sezzle, you will work with highly-motivated teams to tackle interesting and challenging problems across multiple areas of the organization. Your experience and guidance will help other members of the team level-up their own skills as well. You will spend your time working with AI/ML tooling to identify creative uses to fill existing and emerging gaps in the applications.
In this backend focused role, you will work closely with stakeholders from Product, Support and the business. You’ll also partner with other engineering teams to provide high-quality, scalable, and innovative solutions to internal and customer problems. Your day-to-day responsibilities will include designing, developing, and delivering new features, as well as unblocking and mentoring your teammates. Your work will generally focus on the lower level features and optimizations.
This role has both an internal and external focus, your contributions will make a meaningful difference in the day-to-day lives of your peers at Sezzle, enhancing their ability to support our business and customers, and you will have opportunities to take any feedback and iterate.
What You'll Do:
- Architect, design, and build scalable backend services and APIs primarily in Golang, leveraging AWS, RDS (MySQL/Postgres), and modern distributed patterns.
- Lead Sezzle’s AI enablement efforts, identifying opportunities to apply AI and automation to enhance developer productivity, internal tooling, and customer experiences.
- Partner with teams across the organization to integrate modern AI capabilities - Primarily around tools like Claude Code, Codex, Cursor and enhancing team productivity.
- Drive consistency and scalability across a distributed microservices architecture while maintaining performance and reliability.
- Establish and evolve engineering best practices for observability, security, and CI/CD across teams.
- Mentor engineers and champion a culture of learning, innovation, and operational excellence.
- Collaborate cross-functionally to translate business goals into technical roadmaps and deliver results that matter.
What We Look For:
- 12+ years of professional software engineering experience, including significant backend experience.
- Deployed significant changes to a production application in the past 30 days.
- Strong proficiency in Golang, with experience building and maintaining RESTful APIs.
- Expertise with SQL-based RDBMS (MySQL, PostgreSQL) and experience optimizing schema and queries for performance at scale.
- Solid understanding of distributed systems design patterns (e.g., transactional outbox, event-driven architecture, queues).
- Demonstrated ability to bring new ideas forward, influence decisions, and lead complex technical initiatives.
- Bachelor’s degree in Computer Science or equivalent practical experience.
Preferred Knowledge and Skills:
- Proficiency in observability tools (Prometheus, Grafana, Datadog, New Relic).
- Experience with AWS cloud infrastructure, mainly AWS Aurora RDS, both MySQL and Postgres.
- Experience in fintech, payments, BNPL, or consumer lending - familiarity with financial compliance, credit decisioning, or transaction processing systems.
- Experience with CI/CD pipelines and containerized microservices (Docker, Kubernetes).
- Working knowledge of TypeScript, React, or React Native.
- Familiarity with AI/ML tooling (e.g., OpenAI API, LangChain, Hugging Face, or custom LLM integrations).
- Track record of shipping commercial APIs and data-driven applications in high-growth environments.
- Proven leadership in guiding technical direction, improving system reliability, and scaling engineering organizations.
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
- You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
- You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.
Sezzle’s Technology Stack:
- Languages: Golang, Typescript, Python
- Frontend: Typescript - React and React Native
- Backend: Golang
- Database: MySQL, Postgres, Elasticsearch
- DevOps & Cloud: AWS, Kubernetes
- Version Control: Git
- CI/CD: Gitlab
- Testing: Developer and AI-driven, focus on automated end-to-end, integration, and unit tests
- Open Source: Sezzle is focused on using open source, and we build what we can before buying!
What Makes Working at Sezzle Awesome?
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is $6,000 - $12,500 per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
Compensation:
For this principal development role, with 12+ years of experience, the compensation range is $6,000 - $12,500 per month. This range acknowledges the extensive expertise, leadership capabilities, and significant contributions expected at this level, offering a competitive salary to reflect the value of advanced skills and experience.
Interview Process
We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.
- Application submitted (you are here)
- Wonderlic test (30-40 min)
- Interview with recruiters (30 min)
- Coding assessment (~1.5 hours)
- Interview with engineers (1 hour)
- Interview with engineering leadership (30-45 min)
- Offer!
About the Role:
We are seeking a talented and motivated best-in-class Principal Software Engineer. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.
As a Principal Software Engineer with Sezzle, you will work with highly-motivated teams to tackle interesting and challenging problems across multiple areas of the organization. Your experience and guidance will help other members of the team level-up their own skills as well. You will spend your time working with AI/ML tooling to identify creative uses to fill existing and emerging gaps in the applications.
In this backend focused role, you will work closely with stakeholders from Product, Support and the business. You’ll also partner with other engineering teams to provide high-quality, scalable, and innovative solutions to internal and customer problems. Your day-to-day responsibilities will include designing, developing, and delivering new features, as well as unblocking and mentoring your teammates. Your work will generally focus on the lower level features and optimizations.
This role has both an internal and external focus, your contributions will make a meaningful difference in the day-to-day lives of your peers at Sezzle, enhancing their ability to support our business and customers, and you will have opportunities to take any feedback and iterate.
What You'll Do:
- Architect, design, and build scalable backend services and APIs primarily in Golang, leveraging AWS, RDS (MySQL/Postgres), and modern distributed patterns.
- Lead Sezzle’s AI enablement efforts, identifying opportunities to apply AI and automation to enhance developer productivity, internal tooling, and customer experiences.
- Partner with teams across the organization to integrate modern AI capabilities - Primarily around tools like Claude Code, Codex, Cursor and enhancing team productivity.
- Drive consistency and scalability across a distributed microservices architecture while maintaining performance and reliability.
- Establish and evolve engineering best practices for observability, security, and CI/CD across teams.
- Mentor engineers and champion a culture of learning, innovation, and operational excellence.
- Collaborate cross-functionally to translate business goals into technical roadmaps and deliver results that matter.
What We Look For:
- 12+ years of professional software engineering experience, including significant backend experience.
- Deployed significant changes to a production application in the past 30 days.
- Strong proficiency in Golang, with experience building and maintaining RESTful APIs.
- Expertise with SQL-based RDBMS (MySQL, PostgreSQL) and experience optimizing schema and queries for performance at scale.
- Solid understanding of distributed systems design patterns (e.g., transactional outbox, event-driven architecture, queues).
- Demonstrated ability to bring new ideas forward, influence decisions, and lead complex technical initiatives.
- Bachelor’s degree in Computer Science or equivalent practical experience.
Preferred Knowledge and Skills:
- Proficiency in observability tools (Prometheus, Grafana, Datadog, New Relic).
- Experience with AWS cloud infrastructure, mainly AWS Aurora RDS, both MySQL and Postgres.
- Experience in fintech, payments, BNPL, or consumer lending - familiarity with financial compliance, credit decisioning, or transaction processing systems.
- Experience with CI/CD pipelines and containerized microservices (Docker, Kubernetes).
- Working knowledge of TypeScript, React, or React Native.
- Familiarity with AI/ML tooling (e.g., OpenAI API, LangChain, Hugging Face, or custom LLM integrations).
- Track record of shipping commercial APIs and data-driven applications in high-growth environments.
- Proven leadership in guiding technical direction, improving system reliability, and scaling engineering organizations.
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
- You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
- You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.
Sezzle’s Technology Stack:
- Languages: Golang, Typescript, Python
- Frontend: Typescript - React and React Native
- Backend: Golang
- Database: MySQL, Postgres, Elasticsearch
- DevOps & Cloud: AWS, Kubernetes
- Version Control: Git
- CI/CD: Gitlab
- Testing: Developer and AI-driven, focus on automated end-to-end, integration, and unit tests
- Open Source: Sezzle is focused on using open source, and we build what we can before buying!
What Makes Working at Sezzle Awesome?
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is $6,000 - $12,500 per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
Compensation:
For this principal development role, with 12+ years of experience, the compensation range is $6,000 - $12,500 USD per month. This range acknowledges the extensive expertise, leadership capabilities, and significant contributions expected at this level, offering a competitive salary to reflect the value of advanced skills and experience.
Interview Process
We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.
- Application submitted (you are here)
- Wonderlic test (30-40 min)
- Interview with recruiters (30 min)
- Coding assessment (~1.5 hours)
- Interview with engineers (1 hour)
- Interview with engineering leadership (30-45 min)
- Offer!
About the Role:
We are seeking a talented and motivated best-in-class Principal Software Engineer. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.
As a Principal Software Engineer with Sezzle, you will work with highly-motivated teams to tackle interesting and challenging problems across multiple areas of the organization. Your experience and guidance will help other members of the team level-up their own skills as well. You will spend your time working with AI/ML tooling to identify creative uses to fill existing and emerging gaps in the applications.
In this backend focused role, you will work closely with stakeholders from Product, Support and the business. You’ll also partner with other engineering teams to provide high-quality, scalable, and innovative solutions to internal and customer problems. Your day-to-day responsibilities will include designing, developing, and delivering new features, as well as unblocking and mentoring your teammates. Your work will generally focus on the lower level features and optimizations.
This role has both an internal and external focus, your contributions will make a meaningful difference in the day-to-day lives of your peers at Sezzle, enhancing their ability to support our business and customers, and you will have opportunities to take any feedback and iterate.
What You'll Do:
- Architect, design, and build scalable backend services and APIs primarily in Golang, leveraging AWS, RDS (MySQL/Postgres), and modern distributed patterns.
- Lead Sezzle’s AI enablement efforts, identifying opportunities to apply AI and automation to enhance developer productivity, internal tooling, and customer experiences.
- Partner with teams across the organization to integrate modern AI capabilities - Primarily around tools like Claude Code, Codex, Cursor and enhancing team productivity.
- Drive consistency and scalability across a distributed microservices architecture while maintaining performance and reliability.
- Establish and evolve engineering best practices for observability, security, and CI/CD across teams.
- Mentor engineers and champion a culture of learning, innovation, and operational excellence.
- Collaborate cross-functionally to translate business goals into technical roadmaps and deliver results that matter.
What We Look For:
- 12+ years of professional software engineering experience, including significant backend experience.
- Deployed significant changes to a production application in the past 30 days.
- Strong proficiency in Golang, with experience building and maintaining RESTful APIs.
- Expertise with SQL-based RDBMS (MySQL, PostgreSQL) and experience optimizing schema and queries for performance at scale.
- Solid understanding of distributed systems design patterns (e.g., transactional outbox, event-driven architecture, queues).
- Demonstrated ability to bring new ideas forward, influence decisions, and lead complex technical initiatives.
- Bachelor’s degree in Computer Science or equivalent practical experience.
Preferred Knowledge and Skills:
- Proficiency in observability tools (Prometheus, Grafana, Datadog, New Relic).
- Experience with AWS cloud infrastructure, mainly AWS Aurora RDS, both MySQL and Postgres.
- Experience in fintech, payments, BNPL, or consumer lending - familiarity with financial compliance, credit decisioning, or transaction processing systems.
- Experience with CI/CD pipelines and containerized microservices (Docker, Kubernetes).
- Working knowledge of TypeScript, React, or React Native.
- Familiarity with AI/ML tooling (e.g., OpenAI API, LangChain, Hugging Face, or custom LLM integrations).
- Track record of shipping commercial APIs and data-driven applications in high-growth environments.
- Proven leadership in guiding technical direction, improving system reliability, and scaling engineering organizations.
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
- You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
- You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.
Sezzle’s Technology Stack:
- Languages: Golang, Typescript, Python
- Frontend: Typescript - React and React Native
- Backend: Golang
- Database: MySQL, Postgres, Elasticsearch
- DevOps & Cloud: AWS, Kubernetes
- Version Control: Git
- CI/CD: Gitlab
- Testing: Developer and AI-driven, focus on automated end-to-end, integration, and unit tests
- Open Source: Sezzle is focused on using open source, and we build what we can before buying!
What Makes Working at Sezzle Awesome?
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is $6,000 - $12,500 per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
Compensation:
For this principal development role, with 12+ years of experience, the compensation range is $6,000 - $12,500 per month. This range acknowledges the extensive expertise, leadership capabilities, and significant contributions expected at this level, offering a competitive salary to reflect the value of advanced skills and experience.
Interview Process
We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.
- Application submitted (you are here)
- Wonderlic test (30-40 min)
- Interview with recruiters (30 min)
- Coding assessment (~1.5 hours)
- Interview with engineers (1 hour)
- Interview with engineering leadership (30-45 min)
- Offer!
About the Role:
We are seeking a talented and motivated best-in-class Principal Software Engineer. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.
As a Principal Software Engineer with Sezzle, you will work with highly-motivated teams to tackle interesting and challenging problems across multiple areas of the organization. Your experience and guidance will help other members of the team level-up their own skills as well. You will spend your time working with AI/ML tooling to identify creative uses to fill existing and emerging gaps in the applications.
In this backend focused role, you will work closely with stakeholders from Product, Support and the business. You’ll also partner with other engineering teams to provide high-quality, scalable, and innovative solutions to internal and customer problems. Your day-to-day responsibilities will include designing, developing, and delivering new features, as well as unblocking and mentoring your teammates. Your work will generally focus on the lower level features and optimizations.
This role has both an internal and external focus, your contributions will make a meaningful difference in the day-to-day lives of your peers at Sezzle, enhancing their ability to support our business and customers, and you will have opportunities to take any feedback and iterate.
What You'll Do:
- Architect, design, and build scalable backend services and APIs primarily in Golang, leveraging AWS, RDS (MySQL/Postgres), and modern distributed patterns.
- Lead Sezzle’s AI enablement efforts, identifying opportunities to apply AI and automation to enhance developer productivity, internal tooling, and customer experiences.
- Partner with teams across the organization to integrate modern AI capabilities - Primarily around tools like Claude Code, Codex, Cursor and enhancing team productivity.
- Drive consistency and scalability across a distributed microservices architecture while maintaining performance and reliability.
- Establish and evolve engineering best practices for observability, security, and CI/CD across teams.
- Mentor engineers and champion a culture of learning, innovation, and operational excellence.
- Collaborate cross-functionally to translate business goals into technical roadmaps and deliver results that matter.
What We Look For:
- 12+ years of professional software engineering experience, including significant backend experience.
- Deployed significant changes to a production application in the past 30 days.
- Strong proficiency in Golang, with experience building and maintaining RESTful APIs.
- Experience with React JS.
- Expertise with SQL-based RDBMS (MySQL, PostgreSQL) and experience optimizing schema and queries for performance at scale.
- Solid understanding of distributed systems design patterns (e.g., transactional outbox, event-driven architecture, queues).
- Demonstrated ability to bring new ideas forward, influence decisions, and lead complex technical initiatives.
- Bachelor’s degree in Computer Science or equivalent practical experience.
Preferred Knowledge and Skills:
- Proficiency in observability tools (Prometheus, Grafana, Datadog, New Relic).
- Experience with AWS cloud infrastructure, mainly AWS Aurora RDS, both MySQL and Postgres.
- Experience in fintech, payments, BNPL, or consumer lending - familiarity with financial compliance, credit decisioning, or transaction processing systems.
- Experience with CI/CD pipelines and containerized microservices (Docker, Kubernetes).
- Working knowledge of TypeScript, React, or React Native.
- Familiarity with AI/ML tooling (e.g., OpenAI API, LangChain, Hugging Face, or custom LLM integrations).
- Track record of shipping commercial APIs and data-driven applications in high-growth environments.
- Proven leadership in guiding technical direction, improving system reliability, and scaling engineering organizations.
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
- You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
- You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.
Sezzle’s Technology Stack:
- Languages: Golang, Typescript, Python
- Frontend: Typescript - React and React Native
- Backend: Golang
- Database: MySQL, Postgres, Elasticsearch
- DevOps & Cloud: AWS, Kubernetes
- Version Control: Git
- CI/CD: Gitlab
- Testing: Developer and AI-driven, focus on automated end-to-end, integration, and unit tests
- Open Source: Sezzle is focused on using open source, and we build what we can before buying!
What Makes Working at Sezzle Awesome?
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is $3,333 - $6,000 per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated AI Engineer II who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.
As an AI Engineer II on the Applied AI team, you will take on end-to-end ownership of complex platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered platforms from scratch, developing intelligent automation and orchestration systems, and embedding proprietary AI solutions directly into customer-facing products, internal tools, and operational workflows.
You will operate in highly ambiguous problem spaces, working closely with product, engineering, and operations teams to identify opportunities where AI can drive meaningful impact — whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers ready to move beyond scoped execution and into leading solutions: shaping architecture, driving implementation, and ensuring that what is built is reliable, scalable, and genuinely useful for both external users and internal teams.
What You'll Do:
- Lead the design, development, and ownership of AI-powered internal platforms and systems, including initiatives built from the ground up.
- Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
- Design and implement AI-driven features, intelligent automation, and orchestration systems that enhance customer experiences and compound productivity across teams.
- Embed AI capabilities into customer-facing products, internal tools, and operational workflows, ensuring solutions integrate naturally and deliver measurable value.
- Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces.
- Translate ambiguous business and operational problems into scalable, maintainable, AI-enabled technical solutions.
- Apply strong systems thinking to ensure reliability, performance, security, permissions, and auditability across platforms.
- Collaborate closely with engineers, teams, and stakeholders across the company to identify high-impact opportunities and drive adoption.
- Participate in production support and incident response for owned systems, helping define and uphold reliability and operational best practices.
- Mentor AI team members through code reviews, design feedback, and hands-on guidance, raising the overall quality bar of the team.
What We Look for:
- 3–5 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
- Hands-on experience designing, building, and shipping AI-powered systems into production environments.
- Strong proficiency in Python, SQL, and frontend frameworks such as React.
- Proven experience designing and owning production-grade full-stack systems.
- Experience working with distributed systems, internal platforms, or complex data workflows.
- Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
Preferred Qualifications:
- Experience building AI-first platforms or internal products from scratch, including early architectural decisions.
- Strong foundation in core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, model evaluation, and statistical inference.
- Experience with transformer architectures (BERT, GPT, etc.) and understanding of attention mechanisms, tokenization, and fine-tuning strategies for domain-specific applications.
- Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
- Familiarity with embeddings and vector representations, including text embeddings, similarity search, and integration with vector databases (Pinecone, Weaviate, pgvector, or similar).
- Experience with NLP techniques including text classification, named entity recognition, semantic search, and information extraction.
- Familiarity with cloud-native development using AWS.
- Understanding of prompt engineering, retrieval-augmented generation (RAG), and LLM application patterns.
- Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
- Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
- Experience with Golang is a plus (or willingness to learn).
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is $3,333 - $6,000 per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated AI Engineer II who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.
As an AI Engineer II on the Applied AI team, you will take on end-to-end ownership of complex platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered platforms from scratch, developing intelligent automation and orchestration systems, and embedding proprietary AI solutions directly into customer-facing products, internal tools, and operational workflows.
You will operate in highly ambiguous problem spaces, working closely with product, engineering, and operations teams to identify opportunities where AI can drive meaningful impact — whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers ready to move beyond scoped execution and into leading solutions: shaping architecture, driving implementation, and ensuring that what is built is reliable, scalable, and genuinely useful for both external users and internal teams.
What You'll Do:
- Lead the design, development, and ownership of AI-powered internal platforms and systems, including initiatives built from the ground up.
- Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
- Design and implement AI-driven features, intelligent automation, and orchestration systems that enhance customer experiences and compound productivity across teams.
- Embed AI capabilities into customer-facing products, internal tools, and operational workflows, ensuring solutions integrate naturally and deliver measurable value.
- Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces.
- Translate ambiguous business and operational problems into scalable, maintainable, AI-enabled technical solutions.
- Apply strong systems thinking to ensure reliability, performance, security, permissions, and auditability across platforms.
- Collaborate closely with engineers, teams, and stakeholders across the company to identify high-impact opportunities and drive adoption.
- Participate in production support and incident response for owned systems, helping define and uphold reliability and operational best practices.
- Mentor AI team members through code reviews, design feedback, and hands-on guidance, raising the overall quality bar of the team.
What We Look for:
- 3–5 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
- Hands-on experience designing, building, and shipping AI-powered systems into production environments.
- Strong proficiency in Python, SQL, and frontend frameworks such as React.
- Proven experience designing and owning production-grade full-stack systems.
- Experience working with distributed systems, internal platforms, or complex data workflows.
- Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
Preferred Qualifications:
- Experience building AI-first platforms or internal products from scratch, including early architectural decisions.
- Strong foundation in core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, model evaluation, and statistical inference.
- Experience with transformer architectures (BERT, GPT, etc.) and understanding of attention mechanisms, tokenization, and fine-tuning strategies for domain-specific applications.
- Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
- Familiarity with embeddings and vector representations, including text embeddings, similarity search, and integration with vector databases (Pinecone, Weaviate, pgvector, or similar).
- Experience with NLP techniques including text classification, named entity recognition, semantic search, and information extraction.
- Familiarity with cloud-native development using AWS.
- Understanding of prompt engineering, retrieval-augmented generation (RAG), and LLM application patterns.
- Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
- Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
- Experience with Golang is a plus (or willingness to learn).
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is $3,333 - $6,000 per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated AI Engineer II who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.
As an AI Engineer II on the Applied AI team, you will take on end-to-end ownership of complex platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered platforms from scratch, developing intelligent automation and orchestration systems, and embedding proprietary AI solutions directly into customer-facing products, internal tools, and operational workflows.
You will operate in highly ambiguous problem spaces, working closely with product, engineering, and operations teams to identify opportunities where AI can drive meaningful impact — whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers ready to move beyond scoped execution and into leading solutions: shaping architecture, driving implementation, and ensuring that what is built is reliable, scalable, and genuinely useful for both external users and internal teams.
What You'll Do:
- Lead the design, development, and ownership of AI-powered internal platforms and systems, including initiatives built from the ground up.
- Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
- Design and implement AI-driven features, intelligent automation, and orchestration systems that enhance customer experiences and compound productivity across teams.
- Embed AI capabilities into customer-facing products, internal tools, and operational workflows, ensuring solutions integrate naturally and deliver measurable value.
- Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces.
- Translate ambiguous business and operational problems into scalable, maintainable, AI-enabled technical solutions.
- Apply strong systems thinking to ensure reliability, performance, security, permissions, and auditability across platforms.
- Collaborate closely with engineers, teams, and stakeholders across the company to identify high-impact opportunities and drive adoption.
- Participate in production support and incident response for owned systems, helping define and uphold reliability and operational best practices.
- Mentor AI team members through code reviews, design feedback, and hands-on guidance, raising the overall quality bar of the team.
What We Look for:
- 3–5 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
- Hands-on experience designing, building, and shipping AI-powered systems into production environments.
- Strong proficiency in Python, SQL, and frontend frameworks such as React.
- Proven experience designing and owning production-grade full-stack systems.
- Experience working with distributed systems, internal platforms, or complex data workflows.
- Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
Preferred Qualifications:
- Experience building AI-first platforms or internal products from scratch, including early architectural decisions.
- Strong foundation in core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, model evaluation, and statistical inference.
- Experience with transformer architectures (BERT, GPT, etc.) and understanding of attention mechanisms, tokenization, and fine-tuning strategies for domain-specific applications.
- Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
- Familiarity with embeddings and vector representations, including text embeddings, similarity search, and integration with vector databases (Pinecone, Weaviate, pgvector, or similar).
- Experience with NLP techniques including text classification, named entity recognition, semantic search, and information extraction.
- Familiarity with cloud-native development using AWS.
- Understanding of prompt engineering, retrieval-augmented generation (RAG), and LLM application patterns.
- Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
- Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
- Experience with Golang is a plus (or willingness to learn).
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is $3,333 - $6,000 per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated AI Engineer II who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.
As an AI Engineer II on the Applied AI team, you will take on end-to-end ownership of complex platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered platforms from scratch, developing intelligent automation and orchestration systems, and embedding proprietary AI solutions directly into customer-facing products, internal tools, and operational workflows.
You will operate in highly ambiguous problem spaces, working closely with product, engineering, and operations teams to identify opportunities where AI can drive meaningful impact — whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers ready to move beyond scoped execution and into leading solutions: shaping architecture, driving implementation, and ensuring that what is built is reliable, scalable, and genuinely useful for both external users and internal teams.
What You'll Do:
- Lead the design, development, and ownership of AI-powered internal platforms and systems, including initiatives built from the ground up.
- Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
- Design and implement AI-driven features, intelligent automation, and orchestration systems that enhance customer experiences and compound productivity across teams.
- Embed AI capabilities into customer-facing products, internal tools, and operational workflows, ensuring solutions integrate naturally and deliver measurable value.
- Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces.
- Translate ambiguous business and operational problems into scalable, maintainable, AI-enabled technical solutions.
- Apply strong systems thinking to ensure reliability, performance, security, permissions, and auditability across platforms.
- Collaborate closely with engineers, teams, and stakeholders across the company to identify high-impact opportunities and drive adoption.
- Participate in production support and incident response for owned systems, helping define and uphold reliability and operational best practices.
- Mentor AI team members through code reviews, design feedback, and hands-on guidance, raising the overall quality bar of the team.
What We Look for:
- 3–5 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
- Hands-on experience designing, building, and shipping AI-powered systems into production environments.
- Strong proficiency in Python, SQL, and frontend frameworks such as React.
- Proven experience designing and owning production-grade full-stack systems.
- Experience working with distributed systems, internal platforms, or complex data workflows.
- Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
Preferred Qualifications:
- Experience building AI-first platforms or internal products from scratch, including early architectural decisions.
- Strong foundation in core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, model evaluation, and statistical inference.
- Experience with transformer architectures (BERT, GPT, etc.) and understanding of attention mechanisms, tokenization, and fine-tuning strategies for domain-specific applications.
- Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
- Familiarity with embeddings and vector representations, including text embeddings, similarity search, and integration with vector databases (Pinecone, Weaviate, pgvector, or similar).
- Experience with NLP techniques including text classification, named entity recognition, semantic search, and information extraction.
- Familiarity with cloud-native development using AWS.
- Understanding of prompt engineering, retrieval-augmented generation (RAG), and LLM application patterns.
- Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
- Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
- Experience with Golang is a plus (or willingness to learn).
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is $3,333 - $6,000 per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated AI Engineer II who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.
As an AI Engineer II on the Applied AI team, you will take on end-to-end ownership of complex platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered platforms from scratch, developing intelligent automation and orchestration systems, and embedding proprietary AI solutions directly into customer-facing products, internal tools, and operational workflows.
You will operate in highly ambiguous problem spaces, working closely with product, engineering, and operations teams to identify opportunities where AI can drive meaningful impact — whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers ready to move beyond scoped execution and into leading solutions: shaping architecture, driving implementation, and ensuring that what is built is reliable, scalable, and genuinely useful for both external users and internal teams.
What You'll Do:
- Lead the design, development, and ownership of AI-powered internal platforms and systems, including initiatives built from the ground up.
- Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
- Design and implement AI-driven features, intelligent automation, and orchestration systems that enhance customer experiences and compound productivity across teams.
- Embed AI capabilities into customer-facing products, internal tools, and operational workflows, ensuring solutions integrate naturally and deliver measurable value.
- Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces.
- Translate ambiguous business and operational problems into scalable, maintainable, AI-enabled technical solutions.
- Apply strong systems thinking to ensure reliability, performance, security, permissions, and auditability across platforms.
- Collaborate closely with engineers, teams, and stakeholders across the company to identify high-impact opportunities and drive adoption.
- Participate in production support and incident response for owned systems, helping define and uphold reliability and operational best practices.
- Mentor AI team members through code reviews, design feedback, and hands-on guidance, raising the overall quality bar of the team.
What We Look for:
- 3–5 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
- Hands-on experience designing, building, and shipping AI-powered systems into production environments.
- Strong proficiency in Python, SQL, and frontend frameworks such as React.
- Proven experience designing and owning production-grade full-stack systems.
- Experience working with distributed systems, internal platforms, or complex data workflows.
- Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
Preferred Qualifications:
- Experience building AI-first platforms or internal products from scratch, including early architectural decisions.
- Strong foundation in core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, model evaluation, and statistical inference.
- Experience with transformer architectures (BERT, GPT, etc.) and understanding of attention mechanisms, tokenization, and fine-tuning strategies for domain-specific applications.
- Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
- Familiarity with embeddings and vector representations, including text embeddings, similarity search, and integration with vector databases (Pinecone, Weaviate, pgvector, or similar).
- Experience with NLP techniques including text classification, named entity recognition, semantic search, and information extraction.
- Familiarity with cloud-native development using AWS.
- Understanding of prompt engineering, retrieval-augmented generation (RAG), and LLM application patterns.
- Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
- Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
- Experience with Golang is a plus (or willingness to learn).
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is $3,333 - $6,000 per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated AI Engineer II who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.
As an AI Engineer II on the Applied AI team, you will take on end-to-end ownership of complex platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered platforms from scratch, developing intelligent automation and orchestration systems, and embedding proprietary AI solutions directly into customer-facing products, internal tools, and operational workflows.
You will operate in highly ambiguous problem spaces, working closely with product, engineering, and operations teams to identify opportunities where AI can drive meaningful impact — whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers ready to move beyond scoped execution and into leading solutions: shaping architecture, driving implementation, and ensuring that what is built is reliable, scalable, and genuinely useful for both external users and internal teams.
What You'll Do:
- Lead the design, development, and ownership of AI-powered internal platforms and systems, including initiatives built from the ground up.
- Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
- Design and implement AI-driven features, intelligent automation, and orchestration systems that enhance customer experiences and compound productivity across teams.
- Embed AI capabilities into customer-facing products, internal tools, and operational workflows, ensuring solutions integrate naturally and deliver measurable value.
- Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces.
- Translate ambiguous business and operational problems into scalable, maintainable, AI-enabled technical solutions.
- Apply strong systems thinking to ensure reliability, performance, security, permissions, and auditability across platforms.
- Collaborate closely with engineers, teams, and stakeholders across the company to identify high-impact opportunities and drive adoption.
- Participate in production support and incident response for owned systems, helping define and uphold reliability and operational best practices.
- Mentor AI team members through code reviews, design feedback, and hands-on guidance, raising the overall quality bar of the team.
What We Look for:
- 3–5 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
- Hands-on experience designing, building, and shipping AI-powered systems into production environments.
- Strong proficiency in Python, SQL, and frontend frameworks such as React.
- Proven experience designing and owning production-grade full-stack systems.
- Experience working with distributed systems, internal platforms, or complex data workflows.
- Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
Preferred Qualifications:
- Experience building AI-first platforms or internal products from scratch, including early architectural decisions.
- Strong foundation in core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, model evaluation, and statistical inference.
- Experience with transformer architectures (BERT, GPT, etc.) and understanding of attention mechanisms, tokenization, and fine-tuning strategies for domain-specific applications.
- Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
- Familiarity with embeddings and vector representations, including text embeddings, similarity search, and integration with vector databases (Pinecone, Weaviate, pgvector, or similar).
- Experience with NLP techniques including text classification, named entity recognition, semantic search, and information extraction.
- Familiarity with cloud-native development using AWS.
- Understanding of prompt engineering, retrieval-augmented generation (RAG), and LLM application patterns.
- Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
- Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
- Experience with Golang is a plus (or willingness to learn).
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is 2,500 - 3,333 USD per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated AI Engineer I who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.
As an AI Engineer I on the Applied AI team, you will contribute to the development of platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered features, developing intelligent automation and agentic systems, and embedding AI solutions into customer-facing products, internal tools, and operational workflows.
You will work closely with senior engineers and cross-functional teams to identify opportunities where AI can drive meaningful impact—whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers early in their AI careers who want hands-on exposure to production-grade AI systems, with opportunities to grow into greater ownership and technical leadership over time.
What You'll Do:
- Contribute to the design and development of AI-powered platforms and systems, working alongside senior engineers on complex initiatives.
- Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
- Build AI-driven features, intelligent automation, and agentic systems that enhance customer experiences and improve team productivity.
- Embed AI capabilities into existing team workflows, products, and processes, ensuring solutions integrate naturally
- Integrate AI capabilities into customer-facing products, internal tools, and operational workflows.
- Build full-stack components spanning backend services, APIs, data layers, and frontend interfaces.
- Translate business and operational problems into maintainable, AI-enabled technical solutions with guidance from senior team members.
- Apply systems thinking to ensure reliability, performance, and security across platforms.
- Collaborate with engineers, teams, and stakeholders across the company to understand requirements and deliver impactful solutions.
- Participate in production support and incident response for team-owned systems, learning operational best practices.
- Engage in code reviews and knowledge sharing to continuously improve skills and contribute to team growth.
What We'll Look For:
- 1–3 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
- Hands-on experience designing, building, and shipping AI-powered systems into production environments.
- Strong proficiency in Python, SQL, and frontend frameworks such as React.
- Proven experience designing and owning production-grade full-stack systems.
- Experience working with distributed systems, internal platforms, or complex data workflows.
- Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
Preferred Qualifications:
- Exposure to building AI-powered platforms or products, including contributing to architectural decisions.
- Foundational knowledge of core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, and model evaluation.
- Familiarity with transformer architectures (BERT, GPT, etc.) and basic understanding of attention mechanisms, tokenization, and fine-tuning concepts.
- Exposure to embeddings and vector representations, including text embeddings and similarity search concepts; interest in vector databases (Pinecone, Weaviate, pgvector, or similar).
- Familiarity with NLP techniques such as text classification, named entity recognition, or semantic search.
- Familiarity with real-world agentic frameworks workflow engines (e.g., in-house automation platforms, langchain/graph, n8n, Make, or similar), with a solid understanding of how they work under the hood.
- Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
- Familiarity with cloud-native development using AWS.
- Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
- Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
- Experience with Golang is a plus (or willingness to learn).
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is 2,500 - 3,333 USD per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated AI Engineer I who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.
As an AI Engineer I on the Applied AI team, you will contribute to the development of platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered features, developing intelligent automation and agentic systems, and embedding AI solutions into customer-facing products, internal tools, and operational workflows.
You will work closely with senior engineers and cross-functional teams to identify opportunities where AI can drive meaningful impact—whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers early in their AI careers who want hands-on exposure to production-grade AI systems, with opportunities to grow into greater ownership and technical leadership over time.
What You'll Do:
- Contribute to the design and development of AI-powered platforms and systems, working alongside senior engineers on complex initiatives.
- Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
- Build AI-driven features, intelligent automation, and agentic systems that enhance customer experiences and improve team productivity.
- Embed AI capabilities into existing team workflows, products, and processes, ensuring solutions integrate naturally
- Integrate AI capabilities into customer-facing products, internal tools, and operational workflows.
- Build full-stack components spanning backend services, APIs, data layers, and frontend interfaces.
- Translate business and operational problems into maintainable, AI-enabled technical solutions with guidance from senior team members.
- Apply systems thinking to ensure reliability, performance, and security across platforms.
- Collaborate with engineers, teams, and stakeholders across the company to understand requirements and deliver impactful solutions.
- Participate in production support and incident response for team-owned systems, learning operational best practices.
- Engage in code reviews and knowledge sharing to continuously improve skills and contribute to team growth.
What We'll Look For:
- 1–3 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
- Hands-on experience designing, building, and shipping AI-powered systems into production environments.
- Strong proficiency in Python, SQL, and frontend frameworks such as React.
- Proven experience designing and owning production-grade full-stack systems.
- Experience working with distributed systems, internal platforms, or complex data workflows.
- Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
Preferred Qualifications:
- Exposure to building AI-powered platforms or products, including contributing to architectural decisions.
- Foundational knowledge of core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, and model evaluation.
- Familiarity with transformer architectures (BERT, GPT, etc.) and basic understanding of attention mechanisms, tokenization, and fine-tuning concepts.
- Exposure to embeddings and vector representations, including text embeddings and similarity search concepts; interest in vector databases (Pinecone, Weaviate, pgvector, or similar).
- Familiarity with NLP techniques such as text classification, named entity recognition, or semantic search.
- Familiarity with real-world agentic frameworks workflow engines (e.g., in-house automation platforms, langchain/graph, n8n, Make, or similar), with a solid understanding of how they work under the hood.
- Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
- Familiarity with cloud-native development using AWS.
- Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
- Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
- Experience with Golang is a plus (or willingness to learn).
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is 2,500 - 3,333 USD per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated AI Engineer I who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.
As an AI Engineer I on the Applied AI team, you will contribute to the development of platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered features, developing intelligent automation and agentic systems, and embedding AI solutions into customer-facing products, internal tools, and operational workflows.
You will work closely with senior engineers and cross-functional teams to identify opportunities where AI can drive meaningful impact—whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers early in their AI careers who want hands-on exposure to production-grade AI systems, with opportunities to grow into greater ownership and technical leadership over time.
What You'll Do:
- Contribute to the design and development of AI-powered platforms and systems, working alongside senior engineers on complex initiatives.
- Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
- Build AI-driven features, intelligent automation, and agentic systems that enhance customer experiences and improve team productivity.
- Embed AI capabilities into existing team workflows, products, and processes, ensuring solutions integrate naturally
- Integrate AI capabilities into customer-facing products, internal tools, and operational workflows.
- Build full-stack components spanning backend services, APIs, data layers, and frontend interfaces.
- Translate business and operational problems into maintainable, AI-enabled technical solutions with guidance from senior team members.
- Apply systems thinking to ensure reliability, performance, and security across platforms.
- Collaborate with engineers, teams, and stakeholders across the company to understand requirements and deliver impactful solutions.
- Participate in production support and incident response for team-owned systems, learning operational best practices.
- Engage in code reviews and knowledge sharing to continuously improve skills and contribute to team growth.
What We'll Look For:
- 1–3 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
- Hands-on experience designing, building, and shipping AI-powered systems into production environments.
- Strong proficiency in Python, SQL, and frontend frameworks such as React.
- Proven experience designing and owning production-grade full-stack systems.
- Experience working with distributed systems, internal platforms, or complex data workflows.
- Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
Preferred Qualifications:
- Exposure to building AI-powered platforms or products, including contributing to architectural decisions.
- Foundational knowledge of core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, and model evaluation.
- Familiarity with transformer architectures (BERT, GPT, etc.) and basic understanding of attention mechanisms, tokenization, and fine-tuning concepts.
- Exposure to embeddings and vector representations, including text embeddings and similarity search concepts; interest in vector databases (Pinecone, Weaviate, pgvector, or similar).
- Familiarity with NLP techniques such as text classification, named entity recognition, or semantic search.
- Familiarity with real-world agentic frameworks workflow engines (e.g., in-house automation platforms, langchain/graph, n8n, Make, or similar), with a solid understanding of how they work under the hood.
- Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
- Familiarity with cloud-native development using AWS.
- Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
- Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
- Experience with Golang is a plus (or willingness to learn).
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is 2,500 - 3,333 USD per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated AI Engineer I who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.
As an AI Engineer I on the Applied AI team, you will contribute to the development of platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered features, developing intelligent automation and agentic systems, and embedding AI solutions into customer-facing products, internal tools, and operational workflows.
You will work closely with senior engineers and cross-functional teams to identify opportunities where AI can drive meaningful impact—whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers early in their AI careers who want hands-on exposure to production-grade AI systems, with opportunities to grow into greater ownership and technical leadership over time.
What You'll Do:
- Contribute to the design and development of AI-powered platforms and systems, working alongside senior engineers on complex initiatives.
- Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
- Build AI-driven features, intelligent automation, and agentic systems that enhance customer experiences and improve team productivity.
- Embed AI capabilities into existing team workflows, products, and processes, ensuring solutions integrate naturally
- Integrate AI capabilities into customer-facing products, internal tools, and operational workflows.
- Build full-stack components spanning backend services, APIs, data layers, and frontend interfaces.
- Translate business and operational problems into maintainable, AI-enabled technical solutions with guidance from senior team members.
- Apply systems thinking to ensure reliability, performance, and security across platforms.
- Collaborate with engineers, teams, and stakeholders across the company to understand requirements and deliver impactful solutions.
- Participate in production support and incident response for team-owned systems, learning operational best practices.
- Engage in code reviews and knowledge sharing to continuously improve skills and contribute to team growth.
What We'll Look For:
- 1–3 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
- Hands-on experience designing, building, and shipping AI-powered systems into production environments.
- Strong proficiency in Python, SQL, and frontend frameworks such as React.
- Proven experience designing and owning production-grade full-stack systems.
- Experience working with distributed systems, internal platforms, or complex data workflows.
- Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
Preferred Qualifications:
- Exposure to building AI-powered platforms or products, including contributing to architectural decisions.
- Foundational knowledge of core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, and model evaluation.
- Familiarity with transformer architectures (BERT, GPT, etc.) and basic understanding of attention mechanisms, tokenization, and fine-tuning concepts.
- Exposure to embeddings and vector representations, including text embeddings and similarity search concepts; interest in vector databases (Pinecone, Weaviate, pgvector, or similar).
- Familiarity with NLP techniques such as text classification, named entity recognition, or semantic search.
- Familiarity with real-world agentic frameworks workflow engines (e.g., in-house automation platforms, langchain/graph, n8n, Make, or similar), with a solid understanding of how they work under the hood.
- Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
- Familiarity with cloud-native development using AWS.
- Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
- Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
- Experience with Golang is a plus (or willingness to learn).
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is 2,500 - 3,333 USD per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated AI Engineer I who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.
As an AI Engineer I on the Applied AI team, you will contribute to the development of platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered features, developing intelligent automation and agentic systems, and embedding AI solutions into customer-facing products, internal tools, and operational workflows.
You will work closely with senior engineers and cross-functional teams to identify opportunities where AI can drive meaningful impact—whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers early in their AI careers who want hands-on exposure to production-grade AI systems, with opportunities to grow into greater ownership and technical leadership over time.
What You'll Do:
- Contribute to the design and development of AI-powered platforms and systems, working alongside senior engineers on complex initiatives.
- Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
- Build AI-driven features, intelligent automation, and agentic systems that enhance customer experiences and improve team productivity.
- Embed AI capabilities into existing team workflows, products, and processes, ensuring solutions integrate naturally
- Integrate AI capabilities into customer-facing products, internal tools, and operational workflows.
- Build full-stack components spanning backend services, APIs, data layers, and frontend interfaces.
- Translate business and operational problems into maintainable, AI-enabled technical solutions with guidance from senior team members.
- Apply systems thinking to ensure reliability, performance, and security across platforms.
- Collaborate with engineers, teams, and stakeholders across the company to understand requirements and deliver impactful solutions.
- Participate in production support and incident response for team-owned systems, learning operational best practices.
- Engage in code reviews and knowledge sharing to continuously improve skills and contribute to team growth.
What We'll Look For:
- 1–3 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
- Hands-on experience designing, building, and shipping AI-powered systems into production environments.
- Strong proficiency in Python, SQL, and frontend frameworks such as React.
- Proven experience designing and owning production-grade full-stack systems.
- Experience working with distributed systems, internal platforms, or complex data workflows.
- Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
Preferred Qualifications:
- Exposure to building AI-powered platforms or products, including contributing to architectural decisions.
- Foundational knowledge of core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, and model evaluation.
- Familiarity with transformer architectures (BERT, GPT, etc.) and basic understanding of attention mechanisms, tokenization, and fine-tuning concepts.
- Exposure to embeddings and vector representations, including text embeddings and similarity search concepts; interest in vector databases (Pinecone, Weaviate, pgvector, or similar).
- Familiarity with NLP techniques such as text classification, named entity recognition, or semantic search.
- Familiarity with real-world agentic frameworks workflow engines (e.g., in-house automation platforms, langchain/graph, n8n, Make, or similar), with a solid understanding of how they work under the hood.
- Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
- Familiarity with cloud-native development using AWS.
- Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
- Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
- Experience with Golang is a plus (or willingness to learn).
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is 2,500 - 3,333 USD per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated AI Engineer I who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.
As an AI Engineer I on the Applied AI team, you will contribute to the development of platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered features, developing intelligent automation and agentic systems, and embedding AI solutions into customer-facing products, internal tools, and operational workflows.
You will work closely with senior engineers and cross-functional teams to identify opportunities where AI can drive meaningful impact—whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers early in their AI careers who want hands-on exposure to production-grade AI systems, with opportunities to grow into greater ownership and technical leadership over time.
What You'll Do:
- Contribute to the design and development of AI-powered platforms and systems, working alongside senior engineers on complex initiatives.
- Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
- Build AI-driven features, intelligent automation, and agentic systems that enhance customer experiences and improve team productivity.
- Embed AI capabilities into existing team workflows, products, and processes, ensuring solutions integrate naturally
- Integrate AI capabilities into customer-facing products, internal tools, and operational workflows.
- Build full-stack components spanning backend services, APIs, data layers, and frontend interfaces.
- Translate business and operational problems into maintainable, AI-enabled technical solutions with guidance from senior team members.
- Apply systems thinking to ensure reliability, performance, and security across platforms.
- Collaborate with engineers, teams, and stakeholders across the company to understand requirements and deliver impactful solutions.
- Participate in production support and incident response for team-owned systems, learning operational best practices.
- Engage in code reviews and knowledge sharing to continuously improve skills and contribute to team growth.
- Familiarity with Braze or similar consumer facing CRM platforms and/or various B2C digital marketing channels like affiliate, CTV, paid social, paid search, GEO/SEO, DSP.
What We'll Look For:
- 1–3 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
- Hands-on experience designing, building, and shipping AI-powered systems into production environments.
- Strong proficiency in Python, SQL, and frontend frameworks such as React.
- Proven experience designing and owning production-grade full-stack systems.
- Experience working with distributed systems, internal platforms, or complex data workflows.
- Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
Preferred Qualifications:
- Exposure to building AI-powered platforms or products, including contributing to architectural decisions.
- Foundational knowledge of core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, and model evaluation.
- Familiarity with transformer architectures (BERT, GPT, etc.) and basic understanding of attention mechanisms, tokenization, and fine-tuning concepts.
- Exposure to embeddings and vector representations, including text embeddings and similarity search concepts; interest in vector databases (Pinecone, Weaviate, pgvector, or similar).
- Familiarity with NLP techniques such as text classification, named entity recognition, or semantic search.
- Familiarity with real-world agentic frameworks workflow engines (e.g., in-house automation platforms, langchain/graph, n8n, Make, or similar), with a solid understanding of how they work under the hood.
- Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
- Familiarity with cloud-native development using AWS.
- Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
- Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
- Experience with Golang is a plus (or willingness to learn).
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is 2,500 - 3,333 USD per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated AI Engineer I who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.
As an AI Engineer I on the Applied AI team, you will contribute to the development of platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered features, developing intelligent automation and agentic systems, and embedding AI solutions into customer-facing products, internal tools, and operational workflows.
You will work closely with senior engineers and cross-functional teams to identify opportunities where AI can drive meaningful impact—whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers early in their AI careers who want hands-on exposure to production-grade AI systems, with opportunities to grow into greater ownership and technical leadership over time.
What You'll Do:
- Contribute to the design and development of AI-powered platforms and systems, working alongside senior engineers on complex initiatives.
- Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
- Build AI-driven features, intelligent automation, and agentic systems that enhance customer experiences and improve team productivity.
- Embed AI capabilities into existing team workflows, products, and processes, ensuring solutions integrate naturally
- Integrate AI capabilities into customer-facing products, internal tools, and operational workflows.
- Build full-stack components spanning backend services, APIs, data layers, and frontend interfaces.
- Translate business and operational problems into maintainable, AI-enabled technical solutions with guidance from senior team members.
- Apply systems thinking to ensure reliability, performance, and security across platforms.
- Collaborate with engineers, teams, and stakeholders across the company to understand requirements and deliver impactful solutions.
- Participate in production support and incident response for team-owned systems, learning operational best practices.
- Engage in code reviews and knowledge sharing to continuously improve skills and contribute to team growth.
- Familiarity with Braze or similar consumer facing CRM platforms and/or various B2C digital marketing channels like affiliate, CTV, paid social, paid search, GEO/SEO, DSP.
What We'll Look For:
- 1–3 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
- Hands-on experience designing, building, and shipping AI-powered systems into production environments.
- Strong proficiency in Python, SQL, and frontend frameworks such as React.
- Proven experience designing and owning production-grade full-stack systems.
- Experience working with distributed systems, internal platforms, or complex data workflows.
- Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
Preferred Qualifications:
- Exposure to building AI-powered platforms or products, including contributing to architectural decisions.
- Foundational knowledge of core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, and model evaluation.
- Familiarity with transformer architectures (BERT, GPT, etc.) and basic understanding of attention mechanisms, tokenization, and fine-tuning concepts.
- Exposure to embeddings and vector representations, including text embeddings and similarity search concepts; interest in vector databases (Pinecone, Weaviate, pgvector, or similar).
- Familiarity with NLP techniques such as text classification, named entity recognition, or semantic search.
- Familiarity with real-world agentic frameworks workflow engines (e.g., in-house automation platforms, langchain/graph, n8n, Make, or similar), with a solid understanding of how they work under the hood.
- Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
- Familiarity with cloud-native development using AWS.
- Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
- Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
- Experience with Golang is a plus (or willingness to learn).
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is 2,500 - 3,333 USD per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated AI Engineer I who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.
As an AI Engineer I on the Applied AI team, you will contribute to the development of platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered features, developing intelligent automation and agentic systems, and embedding AI solutions into customer-facing products, internal tools, and operational workflows.
You will work closely with senior engineers and cross-functional teams to identify opportunities where AI can drive meaningful impact—whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers early in their AI careers who want hands-on exposure to production-grade AI systems, with opportunities to grow into greater ownership and technical leadership over time.
What You'll Do:
- Contribute to the design and development of AI-powered platforms and systems, working alongside senior engineers on complex initiatives.
- Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
- Build AI-driven features, intelligent automation, and agentic systems that enhance customer experiences and improve team productivity.
- Embed AI capabilities into existing team workflows, products, and processes, ensuring solutions integrate naturally
- Integrate AI capabilities into customer-facing products, internal tools, and operational workflows.
- Build full-stack components spanning backend services, APIs, data layers, and frontend interfaces.
- Translate business and operational problems into maintainable, AI-enabled technical solutions with guidance from senior team members.
- Apply systems thinking to ensure reliability, performance, and security across platforms.
- Collaborate with engineers, teams, and stakeholders across the company to understand requirements and deliver impactful solutions.
- Participate in production support and incident response for team-owned systems, learning operational best practices.
- Engage in code reviews and knowledge sharing to continuously improve skills and contribute to team growth.
- Familiarity with Braze or similar consumer facing CRM platforms and/or various B2C digital marketing channels like affiliate, CTV, paid social, paid search, GEO/SEO, DSP.
What We'll Look For:
- 1–3 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
- Hands-on experience designing, building, and shipping AI-powered systems into production environments.
- Strong proficiency in Python, SQL, and frontend frameworks such as React.
- Proven experience designing and owning production-grade full-stack systems.
- Experience working with distributed systems, internal platforms, or complex data workflows.
- Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
Preferred Qualifications:
- Exposure to building AI-powered platforms or products, including contributing to architectural decisions.
- Foundational knowledge of core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, and model evaluation.
- Familiarity with transformer architectures (BERT, GPT, etc.) and basic understanding of attention mechanisms, tokenization, and fine-tuning concepts.
- Exposure to embeddings and vector representations, including text embeddings and similarity search concepts; interest in vector databases (Pinecone, Weaviate, pgvector, or similar).
- Familiarity with NLP techniques such as text classification, named entity recognition, or semantic search.
- Familiarity with real-world agentic frameworks workflow engines (e.g., in-house automation platforms, langchain/graph, n8n, Make, or similar), with a solid understanding of how they work under the hood.
- Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
- Familiarity with cloud-native development using AWS.
- Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
- Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
- Experience with Golang is a plus (or willingness to learn).
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is 2,500 - 3,333 USD per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated AI Engineer I who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.
As an AI Engineer I on the Applied AI team, you will contribute to the development of platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered features, developing intelligent automation and agentic systems, and embedding AI solutions into customer-facing products, internal tools, and operational workflows.
You will work closely with senior engineers and cross-functional teams to identify opportunities where AI can drive meaningful impact—whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers early in their AI careers who want hands-on exposure to production-grade AI systems, with opportunities to grow into greater ownership and technical leadership over time.
What You'll Do:
- Contribute to the design and development of AI-powered platforms and systems, working alongside senior engineers on complex initiatives.
- Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
- Build AI-driven features, intelligent automation, and agentic systems that enhance customer experiences and improve team productivity.
- Embed AI capabilities into existing team workflows, products, and processes, ensuring solutions integrate naturally
- Integrate AI capabilities into customer-facing products, internal tools, and operational workflows.
- Build full-stack components spanning backend services, APIs, data layers, and frontend interfaces.
- Translate business and operational problems into maintainable, AI-enabled technical solutions with guidance from senior team members.
- Apply systems thinking to ensure reliability, performance, and security across platforms.
- Collaborate with engineers, teams, and stakeholders across the company to understand requirements and deliver impactful solutions.
- Participate in production support and incident response for team-owned systems, learning operational best practices.
- Engage in code reviews and knowledge sharing to continuously improve skills and contribute to team growth.
- Familiarity with Braze or similar consumer facing CRM platforms and/or various B2C digital marketing channels like affiliate, CTV, paid social, paid search, GEO/SEO, DSP.
What We'll Look For:
- 1–3 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
- Hands-on experience designing, building, and shipping AI-powered systems into production environments.
- Strong proficiency in Python, SQL, and frontend frameworks such as React.
- Proven experience designing and owning production-grade full-stack systems.
- Experience working with distributed systems, internal platforms, or complex data workflows.
- Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
Preferred Qualifications:
- Exposure to building AI-powered platforms or products, including contributing to architectural decisions.
- Foundational knowledge of core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, and model evaluation.
- Familiarity with transformer architectures (BERT, GPT, etc.) and basic understanding of attention mechanisms, tokenization, and fine-tuning concepts.
- Exposure to embeddings and vector representations, including text embeddings and similarity search concepts; interest in vector databases (Pinecone, Weaviate, pgvector, or similar).
- Familiarity with NLP techniques such as text classification, named entity recognition, or semantic search.
- Familiarity with real-world agentic frameworks workflow engines (e.g., in-house automation platforms, langchain/graph, n8n, Make, or similar), with a solid understanding of how they work under the hood.
- Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
- Familiarity with cloud-native development using AWS.
- Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
- Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
- Experience with Golang is a plus (or willingness to learn).
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is 2,500 - 3,333 USD per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated AI Engineer I who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.
As an AI Engineer I on the Applied AI team, you will contribute to the development of platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered features, developing intelligent automation and agentic systems, and embedding AI solutions into customer-facing products, internal tools, and operational workflows.
You will work closely with senior engineers and cross-functional teams to identify opportunities where AI can drive meaningful impact—whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers early in their AI careers who want hands-on exposure to production-grade AI systems, with opportunities to grow into greater ownership and technical leadership over time.
What You'll Do:
- Contribute to the design and development of AI-powered platforms and systems, working alongside senior engineers on complex initiatives.
- Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
- Build AI-driven features, intelligent automation, and agentic systems that enhance customer experiences and improve team productivity.
- Embed AI capabilities into existing team workflows, products, and processes, ensuring solutions integrate naturally
- Integrate AI capabilities into customer-facing products, internal tools, and operational workflows.
- Build full-stack components spanning backend services, APIs, data layers, and frontend interfaces.
- Translate business and operational problems into maintainable, AI-enabled technical solutions with guidance from senior team members.
- Apply systems thinking to ensure reliability, performance, and security across platforms.
- Collaborate with engineers, teams, and stakeholders across the company to understand requirements and deliver impactful solutions.
- Participate in production support and incident response for team-owned systems, learning operational best practices.
- Engage in code reviews and knowledge sharing to continuously improve skills and contribute to team growth.
- Familiarity with Braze or similar consumer facing CRM platforms and/or various B2C digital marketing channels like affiliate, CTV, paid social, paid search, GEO/SEO, DSP.
What We'll Look For:
- 1–3 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
- Hands-on experience designing, building, and shipping AI-powered systems into production environments.
- Strong proficiency in Python, SQL, and frontend frameworks such as React.
- Proven experience designing and owning production-grade full-stack systems.
- Experience working with distributed systems, internal platforms, or complex data workflows.
- Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
Preferred Qualifications:
- Exposure to building AI-powered platforms or products, including contributing to architectural decisions.
- Foundational knowledge of core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, and model evaluation.
- Familiarity with transformer architectures (BERT, GPT, etc.) and basic understanding of attention mechanisms, tokenization, and fine-tuning concepts.
- Exposure to embeddings and vector representations, including text embeddings and similarity search concepts; interest in vector databases (Pinecone, Weaviate, pgvector, or similar).
- Familiarity with NLP techniques such as text classification, named entity recognition, or semantic search.
- Familiarity with real-world agentic frameworks workflow engines (e.g., in-house automation platforms, langchain/graph, n8n, Make, or similar), with a solid understanding of how they work under the hood.
- Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
- Familiarity with cloud-native development using AWS.
- Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
- Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
- Experience with Golang is a plus (or willingness to learn).
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is $3,333 - $6,000 per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated AI Engineer II who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.
As an AI Engineer II on the Applied AI team, you will take on end-to-end ownership of complex platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered platforms from scratch, developing intelligent automation and orchestration systems, and embedding proprietary AI solutions directly into customer-facing products, internal tools, and operational workflows.
You will operate in highly ambiguous problem spaces, working closely with product, engineering, and operations teams to identify opportunities where AI can drive meaningful impact — whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers ready to move beyond scoped execution and into leading solutions: shaping architecture, driving implementation, and ensuring that what is built is reliable, scalable, and genuinely useful for both external users and internal teams.
What You'll Do:
- Lead the design, development, and ownership of AI-powered internal platforms and systems, including initiatives built from the ground up with a focus on Marketing.
- Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
- Design and implement AI-driven features, intelligent automation, and orchestration systems that enhance customer experiences and compound productivity across teams.
- Embed AI capabilities into customer-facing products, internal tools, and operational workflows, ensuring solutions integrate naturally and deliver measurable value.
- Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces.
- Translate ambiguous business and operational problems into scalable, maintainable, AI-enabled technical solutions.
- Apply strong systems thinking to ensure reliability, performance, security, permissions, and auditability across platforms.
- Collaborate closely with engineers, teams, and stakeholders across the company to identify high-impact opportunities and drive adoption.
- Participate in production support and incident response for owned systems, helping define and uphold reliability and operational best practices.
- Mentor AI team members through code reviews, design feedback, and hands-on guidance, raising the overall quality bar of the team.
What We Look for:
- 3–5 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
- Hands-on experience designing, building, and shipping AI-powered systems into production environments.
- Strong proficiency in Python, SQL, and frontend frameworks such as React.
- Proven experience designing and owning production-grade full-stack systems.
- Experience working with distributed systems, internal platforms, or complex data workflows.
- Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
Preferred Qualifications:
- Experience building AI-first platforms or internal products from scratch, including early architectural decisions.
- Strong foundation in core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, model evaluation, and statistical inference.
- Experience with transformer architectures (BERT, GPT, etc.) and understanding of attention mechanisms, tokenization, and fine-tuning strategies for domain-specific applications.
- Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
- Familiarity with embeddings and vector representations, including text embeddings, similarity search, and integration with vector databases (Pinecone, Weaviate, pgvector, or similar).
- Experience with NLP techniques including text classification, named entity recognition, semantic search, and information extraction.
- Familiarity with cloud-native development using AWS.
- Understanding of prompt engineering, retrieval-augmented generation (RAG), and LLM application patterns.
- Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
- Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
- Experience with Golang is a plus (or willingness to learn).
- Experience with Braze or similar consumer facing CRM platforms and/or various B2C digital marketing channels like affiliate, CTV, paid social, paid search, GEO/SEO, DSP.
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is $3,333 - $6,000 per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated AI Engineer II who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.
As an AI Engineer II on the Applied AI team, you will take on end-to-end ownership of complex platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered platforms from scratch, developing intelligent automation and orchestration systems, and embedding proprietary AI solutions directly into customer-facing products, internal tools, and operational workflows.
You will operate in highly ambiguous problem spaces, working closely with product, engineering, and operations teams to identify opportunities where AI can drive meaningful impact — whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers ready to move beyond scoped execution and into leading solutions: shaping architecture, driving implementation, and ensuring that what is built is reliable, scalable, and genuinely useful for both external users and internal teams.
What You'll Do:
- Lead the design, development, and ownership of AI-powered internal platforms and systems, including initiatives built from the ground up with a focus on Marketing.
- Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
- Design and implement AI-driven features, intelligent automation, and orchestration systems that enhance customer experiences and compound productivity across teams.
- Embed AI capabilities into customer-facing products, internal tools, and operational workflows, ensuring solutions integrate naturally and deliver measurable value.
- Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces.
- Translate ambiguous business and operational problems into scalable, maintainable, AI-enabled technical solutions.
- Apply strong systems thinking to ensure reliability, performance, security, permissions, and auditability across platforms.
- Collaborate closely with engineers, teams, and stakeholders across the company to identify high-impact opportunities and drive adoption.
- Participate in production support and incident response for owned systems, helping define and uphold reliability and operational best practices.
- Mentor AI team members through code reviews, design feedback, and hands-on guidance, raising the overall quality bar of the team.
What We Look for:
- 3–5 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
- Hands-on experience designing, building, and shipping AI-powered systems into production environments.
- Strong proficiency in Python, SQL, and frontend frameworks such as React.
- Proven experience designing and owning production-grade full-stack systems.
- Experience working with distributed systems, internal platforms, or complex data workflows.
- Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
Preferred Qualifications:
- Experience building AI-first platforms or internal products from scratch, including early architectural decisions.
- Strong foundation in core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, model evaluation, and statistical inference.
- Experience with transformer architectures (BERT, GPT, etc.) and understanding of attention mechanisms, tokenization, and fine-tuning strategies for domain-specific applications.
- Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
- Familiarity with embeddings and vector representations, including text embeddings, similarity search, and integration with vector databases (Pinecone, Weaviate, pgvector, or similar).
- Experience with NLP techniques including text classification, named entity recognition, semantic search, and information extraction.
- Familiarity with cloud-native development using AWS.
- Understanding of prompt engineering, retrieval-augmented generation (RAG), and LLM application patterns.
- Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
- Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
- Experience with Golang is a plus (or willingness to learn).
- Experience with Braze or similar consumer facing CRM platforms and/or various B2C digital marketing channels like affiliate, CTV, paid social, paid search, GEO/SEO, DSP.
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is $3,333 - $6,000 per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated AI Engineer II who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.
As an AI Engineer II on the Applied AI team, you will take on end-to-end ownership of complex platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered platforms from scratch, developing intelligent automation and orchestration systems, and embedding proprietary AI solutions directly into customer-facing products, internal tools, and operational workflows.
You will operate in highly ambiguous problem spaces, working closely with product, engineering, and operations teams to identify opportunities where AI can drive meaningful impact — whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers ready to move beyond scoped execution and into leading solutions: shaping architecture, driving implementation, and ensuring that what is built is reliable, scalable, and genuinely useful for both external users and internal teams.
What You'll Do:
- Lead the design, development, and ownership of AI-powered internal platforms and systems, including initiatives built from the ground up with a focus on Marketing.
- Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
- Design and implement AI-driven features, intelligent automation, and orchestration systems that enhance customer experiences and compound productivity across teams.
- Embed AI capabilities into customer-facing products, internal tools, and operational workflows, ensuring solutions integrate naturally and deliver measurable value.
- Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces.
- Translate ambiguous business and operational problems into scalable, maintainable, AI-enabled technical solutions.
- Apply strong systems thinking to ensure reliability, performance, security, permissions, and auditability across platforms.
- Collaborate closely with engineers, teams, and stakeholders across the company to identify high-impact opportunities and drive adoption.
- Participate in production support and incident response for owned systems, helping define and uphold reliability and operational best practices.
- Mentor AI team members through code reviews, design feedback, and hands-on guidance, raising the overall quality bar of the team.
What We Look for:
- 3–5 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
- Hands-on experience designing, building, and shipping AI-powered systems into production environments.
- Strong proficiency in Python, SQL, and frontend frameworks such as React.
- Proven experience designing and owning production-grade full-stack systems.
- Experience working with distributed systems, internal platforms, or complex data workflows.
- Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
Preferred Qualifications:
- Experience building AI-first platforms or internal products from scratch, including early architectural decisions.
- Strong foundation in core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, model evaluation, and statistical inference.
- Experience with transformer architectures (BERT, GPT, etc.) and understanding of attention mechanisms, tokenization, and fine-tuning strategies for domain-specific applications.
- Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
- Familiarity with embeddings and vector representations, including text embeddings, similarity search, and integration with vector databases (Pinecone, Weaviate, pgvector, or similar).
- Experience with NLP techniques including text classification, named entity recognition, semantic search, and information extraction.
- Familiarity with cloud-native development using AWS.
- Understanding of prompt engineering, retrieval-augmented generation (RAG), and LLM application patterns.
- Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
- Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
- Experience with Golang is a plus (or willingness to learn).
- Experience with Braze or similar consumer facing CRM platforms and/or various B2C digital marketing channels like affiliate, CTV, paid social, paid search, GEO/SEO, DSP.
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is $3,333 - $6,000 per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated AI Engineer II who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.
As an AI Engineer II on the Applied AI team, you will take on end-to-end ownership of complex platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered platforms from scratch, developing intelligent automation and orchestration systems, and embedding proprietary AI solutions directly into customer-facing products, internal tools, and operational workflows.
You will operate in highly ambiguous problem spaces, working closely with product, engineering, and operations teams to identify opportunities where AI can drive meaningful impact — whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers ready to move beyond scoped execution and into leading solutions: shaping architecture, driving implementation, and ensuring that what is built is reliable, scalable, and genuinely useful for both external users and internal teams.
What You'll Do:
- Lead the design, development, and ownership of AI-powered internal platforms and systems, including initiatives built from the ground up with a focus on Marketing.
- Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
- Design and implement AI-driven features, intelligent automation, and orchestration systems that enhance customer experiences and compound productivity across teams.
- Embed AI capabilities into customer-facing products, internal tools, and operational workflows, ensuring solutions integrate naturally and deliver measurable value.
- Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces.
- Translate ambiguous business and operational problems into scalable, maintainable, AI-enabled technical solutions.
- Apply strong systems thinking to ensure reliability, performance, security, permissions, and auditability across platforms.
- Collaborate closely with engineers, teams, and stakeholders across the company to identify high-impact opportunities and drive adoption.
- Participate in production support and incident response for owned systems, helping define and uphold reliability and operational best practices.
- Mentor AI team members through code reviews, design feedback, and hands-on guidance, raising the overall quality bar of the team.
What We Look for:
- 3–5 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
- Hands-on experience designing, building, and shipping AI-powered systems into production environments.
- Strong proficiency in Python, SQL, and frontend frameworks such as React.
- Proven experience designing and owning production-grade full-stack systems.
- Experience working with distributed systems, internal platforms, or complex data workflows.
- Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
Preferred Qualifications:
- Experience building AI-first platforms or internal products from scratch, including early architectural decisions.
- Strong foundation in core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, model evaluation, and statistical inference.
- Experience with transformer architectures (BERT, GPT, etc.) and understanding of attention mechanisms, tokenization, and fine-tuning strategies for domain-specific applications.
- Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
- Familiarity with embeddings and vector representations, including text embeddings, similarity search, and integration with vector databases (Pinecone, Weaviate, pgvector, or similar).
- Experience with NLP techniques including text classification, named entity recognition, semantic search, and information extraction.
- Familiarity with cloud-native development using AWS.
- Understanding of prompt engineering, retrieval-augmented generation (RAG), and LLM application patterns.
- Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
- Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
- Experience with Golang is a plus (or willingness to learn).
- Experience with Braze or similar consumer facing CRM platforms and/or various B2C digital marketing channels like affiliate, CTV, paid social, paid search, GEO/SEO, DSP.
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is $3,333 - $6,000 per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated AI Engineer II who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.
As an AI Engineer II on the Applied AI team, you will take on end-to-end ownership of complex platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered platforms from scratch, developing intelligent automation and orchestration systems, and embedding proprietary AI solutions directly into customer-facing products, internal tools, and operational workflows.
You will operate in highly ambiguous problem spaces, working closely with product, engineering, and operations teams to identify opportunities where AI can drive meaningful impact — whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers ready to move beyond scoped execution and into leading solutions: shaping architecture, driving implementation, and ensuring that what is built is reliable, scalable, and genuinely useful for both external users and internal teams.
What You'll Do:
- Lead the design, development, and ownership of AI-powered internal platforms and systems, including initiatives built from the ground up with a focus on Marketing.
- Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
- Design and implement AI-driven features, intelligent automation, and orchestration systems that enhance customer experiences and compound productivity across teams.
- Embed AI capabilities into customer-facing products, internal tools, and operational workflows, ensuring solutions integrate naturally and deliver measurable value.
- Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces.
- Translate ambiguous business and operational problems into scalable, maintainable, AI-enabled technical solutions.
- Apply strong systems thinking to ensure reliability, performance, security, permissions, and auditability across platforms.
- Collaborate closely with engineers, teams, and stakeholders across the company to identify high-impact opportunities and drive adoption.
- Participate in production support and incident response for owned systems, helping define and uphold reliability and operational best practices.
- Mentor AI team members through code reviews, design feedback, and hands-on guidance, raising the overall quality bar of the team.
What We Look for:
- 3–5 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
- Hands-on experience designing, building, and shipping AI-powered systems into production environments.
- Strong proficiency in Python, SQL, and frontend frameworks such as React.
- Proven experience designing and owning production-grade full-stack systems.
- Experience working with distributed systems, internal platforms, or complex data workflows.
- Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
Preferred Qualifications:
- Experience building AI-first platforms or internal products from scratch, including early architectural decisions.
- Strong foundation in core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, model evaluation, and statistical inference.
- Experience with transformer architectures (BERT, GPT, etc.) and understanding of attention mechanisms, tokenization, and fine-tuning strategies for domain-specific applications.
- Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
- Familiarity with embeddings and vector representations, including text embeddings, similarity search, and integration with vector databases (Pinecone, Weaviate, pgvector, or similar).
- Experience with NLP techniques including text classification, named entity recognition, semantic search, and information extraction.
- Familiarity with cloud-native development using AWS.
- Understanding of prompt engineering, retrieval-augmented generation (RAG), and LLM application patterns.
- Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
- Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
- Experience with Golang is a plus (or willingness to learn).
- Experience with Braze or similar consumer facing CRM platforms and/or various B2C digital marketing channels like affiliate, CTV, paid social, paid search, GEO/SEO, DSP.
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is $50,000 - $120,000 per year (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.
You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.
Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.
What You'll Do:
- Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
- Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
- Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
- Support Marketing Team’s AI Utilization with an eye on Cross-Departmental impact: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
- Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
- Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
- Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
- Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.
What We Look For:
- Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
- At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.
Preferred Qualifications:
- Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
- Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
- Proficiency with Python is required, and experience with Golang is a plus.
- Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
- Experience working with relational databases, data warehouses, and using SQL to explore them.
- Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
- Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
- Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
- Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
- You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
- You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is $50,000 - $120,000 per year (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.
You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.
Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.
What You'll Do:
- Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
- Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
- Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
- Support Marketing Team’s AI Utilization with an eye on Cross-Departmental impact: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
- Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
- Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
- Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
- Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.
What We Look For:
- Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
- At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.
Preferred Qualifications:
- Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
- Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
- Proficiency with Python is required, and experience with Golang is a plus.
- Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
- Experience working with relational databases, data warehouses, and using SQL to explore them.
- Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
- Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
- Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
- Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
- You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
- You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is $50,000 - $120,000 per year (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.
You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.
Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.
What You'll Do:
- Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
- Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
- Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
- Support Marketing Team’s AI Utilization with an eye on Cross-Departmental impact: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
- Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
- Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
- Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
- Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.
What We Look For:
- Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
- At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.
Preferred Qualifications:
- Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
- Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
- Proficiency with Python is required, and experience with Golang is a plus.
- Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
- Experience working with relational databases, data warehouses, and using SQL to explore them.
- Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
- Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
- Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
- Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
- You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
- You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is $50,000 - $120,000 per year (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.
You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.
Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.
What You'll Do:
- Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
- Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
- Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
- Support Marketing Team’s AI Utilization with an eye on Cross-Departmental impact: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
- Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
- Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
- Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
- Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.
What We Look For:
- Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
- At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.
Preferred Qualifications:
- Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
- Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
- Proficiency with Python is required, and experience with Golang is a plus.
- Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
- Experience working with relational databases, data warehouses, and using SQL to explore them.
- Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
- Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
- Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
- Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
- You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
- You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to SezzleThe salary range for this role is $50,000 - $120,000 per year (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.
You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.
Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.
What You'll Do:
- Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
- Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
- Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
- Support Marketing Team’s AI Utilization with an eye on Cross-Departmental impact: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
- Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
- Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
- Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
- Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.
What We Look For:
- Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
- At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.
Preferred Qualifications:
- Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
- Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
- Proficiency with Python is required, and experience with Golang is a plus.
- Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
- Experience working with relational databases, data warehouses, and using SQL to explore them.
- Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
- Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
- Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
- Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.
About You:
- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
- You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
- You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.
What Makes Working at Sezzle Awesome:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
#Li-remote #full-time
Ready to apply?
Apply to Sezzle
AI Engineer / AI Architect
Robots & Pencils is seeking an AI Engineer / AI Architect to design, build, and scale production-grade AI systems that deliver measurable business value.
This is a hands-on technical leadership role. You will define system architectures, lead implementation of scalable AI platforms, and guide teams through the full lifecycle of AI development, from experimentation and model iteration to secure, observable production deployment.
As a Level 4 leader, you are expected to own complex AI systems end-to-end, influence technical direction, mentor engineers, and make principled architectural tradeoffs under real-world constraints.
Key Responsibilities
AI Architecture & Technical Strategy
- Define AI system architecture aligned to business objectives and long-term scalability
- Translate ambiguous AI opportunities into structured technical approaches
- Design modular, extensible AI platforms supporting experimentation and production workloads
- Establish architecture decision records (ADRs) and technical documentation standards
AI System Design & Implementation
- Lead design and implementation of ML systems, model services, and inference pipelines
- Build scalable training, evaluation, and deployment workflows
- Architect data ingestion, feature engineering, and model serving strategies
- Ensure reliability, observability, and performance optimization of AI systems
AI Platform & Infrastructure
- Design and implement end-to-end AI pipelines and agentic orchestration frameworks.
- Establish LLMOps best practices including CI/CD, prompt versioning, and real-time model observability.
- Optimize distributed inference systems and retrieval-augmented generation (RAG) performance.
- Ensure AI infrastructure aligns with security, compliance, and GPU/token cost-efficiency standards.
Research-to-Production Acceleration
- Bridge research and engineering by operationalizing prototypes into production-ready systems
- Define evaluation metrics, validation processes, and rollout strategies
- Improve iteration velocity through tooling and automation
Technical Leadership & Mentorship
- Mentor junior and mid-level AI engineers
- Lead code reviews and enforce engineering standards
- Guide teams in making informed tradeoffs across performance, scalability, cost, and complexity
- Contribute to shared AI best practices and internal accelerators
Cross-Functional Collaboration
- Partner with product, engineering, and executive stakeholders to shape AI roadmaps
- Communicate technical strategy and system tradeoffs clearly to non-technical audiences
- Align AI initiatives with business value and measurable outcomes
Required Skills & Qualifications
- 5+ years of experience in AI/ML engineering or applied machine learning
- Proven experience designing and deploying production AI systems
- Strong software engineering background (Python or similar)
- Experience with distributed systems and scalable data architectures
- Deep understanding of MLOps, model lifecycle management, and AI infrastructure
- Experience building and maintaining ML pipelines and automated deployment workflows
- Strong problem-solving skills and architectural judgment
- Demonstrated leadership and mentoring experience
- Excellent communication skills for technical and executive stakeholders
Nice to Have
- Experience with generative AI, LLM systems, or retrieval-augmented architectures
- Exposure to multi-agent or agentic AI systems
- Experience with cloud-based AI platforms and infrastructure-as-code
- Background in consulting or professional services environments
- Experience designing AI systems in regulated or security-sensitive domains
- Hands-on AWS experience supporting cloud-native or AI/ML production systems.
- AWS certifications (Associate or Professional level) or equivalent practical AWS expertise.
Personal Competencies
- Architectural Thinking – Designs systems that scale and evolve
- Technical Ownership – Drives AI initiatives from concept to production
- Engineering Rigor – Prioritizes reliability, observability, and maintainability
- Mentorship – Elevates team capability through guidance and example
- Execution Focus – Delivers production-ready systems, not just prototypes
- Comfort in Ambiguity – Translates unclear AI challenges into structured solutions
Why Join Robots & Pencils?
At Robots & Pencils, we build intelligent systems for real-world environments, blending creativity, engineering excellence, and applied AI to help organizations work smarter. Our teams partner directly with leading North American organizations to design and deliver production-ready digital and AI solutions that create measurable impact.
As an AI Engineer, you will build production AI systems alongside experienced architects and senior engineers, strengthening your foundation in machine learning, scalable system design, and modern cloud-native delivery. You’ll collaborate closely with US-based clients, gaining hands-on exposure to complex problem-solving while contributing to meaningful, real-world outcomes.
By joining Robots & Pencils, you also benefit from our Advanced AWS Partnership and participation in the highly exclusive AWS Patterns Partnership, a distinction held by only 11 companies worldwide out of more than 190,000 AWS partners. This provides access to specialized training, early access to emerging cloud capabilities, and advanced engineering resources that support accelerated professional growth.
This is a role for builders who want to sharpen their craft, grow quickly, and deliver impactful AI systems within an elite global engineering ecosystem.
Ready to apply?
Apply to Robots and Pencils
AI Engineer
Robots & Pencils is seeking an AI Engineer to design, build, and deploy production-grade AI systems that deliver measurable business value.
This is a hands-on engineering role focused on implementation and delivery. You will contribute to scalable AI systems and ML pipelines, working within established architectural direction while collaborating closely with senior engineers, product managers, and cross-functional teams.
You will be expected to deliver independently on well-defined features, contribute to system design discussions, and maintain high standards for reliability, performance, and maintainability.
Key Responsibilities
AI System Implementation
- Implement machine learning models, inference services, and supporting APIs
- Contribute to the development of training, evaluation, and deployment workflows
- Build data ingestion and feature engineering components aligned to defined architecture
- Ensure reliability, performance, and stability of AI services in production environments
AI Pipelines & Infrastructure
- Contribute to the development and orchestration of AI pipelines and agentic workflows.
- Support LLMOps processes for automated model deployment, versioning, and prompt management.
- Implement monitoring and observability to track token usage, model drift, and hallucinations.
- Debug and resolve complex issues across LLM layers, data ingestion, and cloud infrastructure.
Research-to-Production Support
- Collaborate with senior engineers to operationalize research prototypes
- Implement evaluation metrics and validation processes
- Support rollout and iteration of AI features based on performance data
Collaboration & Delivery
- Work closely with product and engineering teams to implement AI-driven features
- Participate in sprint planning, estimation, and technical discussions
- Contribute to documentation and shared engineering standards
- Communicate progress, blockers, and risks clearly
Required Skills & Qualifications
- 3–5 years of experience in AI/ML engineering or applied machine learning
- Experience building and deploying ML models in production environments
- Strong software engineering background (Python or similar)
- Familiarity with distributed systems and scalable data processing
- Experience contributing to ML pipelines and automated deployment workflows
- Working knowledge of MLOps concepts (model versioning, monitoring, CI/CD)
- Ability to debug issues across model, application, and infrastructure layers
- Strong problem-solving skills and attention to detail
- Effective communication skills within technical teams
Nice to Have
- Exposure to generative AI or LLM-based systems
- Familiarity with retrieval-augmented generation (RAG) architectures
- Experience working with cloud-based AI platforms
- Exposure to infrastructure-as-code or DevOps practices
- Experience working in consulting or delivery-focused environments
- Hands-on AWS experience supporting cloud-native or AI/ML production systems.
- AWS certifications (Associate or Professional level) or equivalent practical AWS expertise.
Personal Competencies
- Execution-Focused – Delivers high-quality implementations within established architecture
- Engineering Discipline – Writes reliable, maintainable, and well-tested code
- Collaborative – Works effectively within cross-functional teams
- Problem-Solving Mindset – Investigates issues methodically across layers
- Ownership – Takes responsibility for assigned work from implementation through release
- Growth-Oriented – Seeks feedback and continuously improves technical craft
Why Join Robots & Pencils?
At Robots & Pencils, we build intelligent systems for real-world environments, blending creativity, engineering excellence, and applied AI to help organizations work smarter. Our teams partner directly with leading North American organizations to design and deliver production-ready digital and AI solutions that create measurable impact.
As an AI Engineer, you will build production AI systems alongside experienced architects and senior engineers, strengthening your foundation in machine learning, scalable system design, and modern cloud-native delivery. You’ll collaborate closely with US-based clients, gaining hands-on exposure to complex problem-solving while contributing to meaningful, real-world outcomes.
By joining Robots & Pencils, you also benefit from our Advanced AWS Partnership and participation in the highly exclusive AWS Patterns Partnership, a distinction held by only 11 companies worldwide out of more than 190,000 AWS partners. This provides access to specialized training, early access to emerging cloud capabilities, and advanced engineering resources that support accelerated professional growth.
This is a role for builders who want to sharpen their craft, grow quickly, and deliver impactful AI systems within an elite global engineering ecosystem.
Ready to apply?
Apply to Robots and Pencils