LLM Jobs in Mexico City.
All active LLM roles based in Mexico City.
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Important Information
Experience: +6 years
Job Mode: Full-time
Work Mode: Remote
ID: OPP00051-1
Responsibilities and Duties
- Digest requirement from product team and lead the elaboration of high level design for high availability, performance and scalability features for cloud systems;
- Raise and discuss trade-offs of different design approaches elaborating detailed design documents;
- Implement solution from coding to testing to production deployment support;
- Follow agile processes and participate actively in all development phases.
Essential Skills
- Experience with Golang (Go) programming language;
- Extensive experience with modeling, producing and consuming web services based APIs (RESTful or SOAP based);
- Experience on Cloud Service Orchestration;
- Experience with Cloud Development;
- Experience with backend systems development;
- Proven proficiency with object-oriented software development;
- Proven experience on complex architectural design for cloud-based applications;
- Design Patterns;
- Experience with SQL and NoSQL databases such as PostgreSQL, SQL Server, Oracle, MongoDB, Cassandra.
Highly Desirable Skills
- Competent in one or more programming language(s): Go (Golang), Python, Node, C#, C and C++, Java;
- Knowledge on testing (Unit Test, Feature Test, Integration);
- Knowledge of cloud platforms and technologies including Google Cloud, Aws, Azure;
- Experience working with Kubernetes and OpenShift;
- Exposure to and/or experience with Serverless applications;
- An understanding of software design patterns, pipeline automation and software testing principles and methodologies;
- Familiar with designing, coding, deploying and debugging microservices applications;
- Strong Scripting and automation skills;
- Passionate about solving problems in code;
- Is proactive and easily trouble shoots and resolves issues relating to customer service, product, process and tools;
- Comfortable with Linux Environment and shell scripting.
About Encora
Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.
At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Ready to apply?
Apply to Encora
AI Quality Analyst
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About the Team
The Quality Assurance team drives customer support insights to both our internal & BPO partner stakeholders, utilizing our quality assurance audit data as well as exciting new technologies in Conversational Intelligence AI. The team’s primary role will be to establish mechanisms to ensure our quality audits consistently provide insights that drive process improvements in our support experience.
About the Role
As a Senior Associate, Calibration Insights Analyst, you’ll be a key architect of calibration excellence across DoorDash Support. You will lead analytical deep dives to identify root causes of quality misalignment, investigate edge cases, and surface systemic opportunities to improve how our GenAI-powered QA systems operate.
You’ll collaborate closely with Model Calibration Specialists, the Performance Excellence team, and stakeholders across CXI to implement projects that improve agent performance, policy alignment, and customer outcomes. You’ll help maintain trust in our machine learning model’s QA outputs by ensuring our quality signals are precise, fair, and strategically useful.
This role requires comfort working with GPT/LLM-based systems and the ability to turn raw calibration data into insights that influence our long-term QA strategy.
You will report to the Supervisor Model Calibration Team (MCT) in our CXI QA organization. This role is hybrid and will require an in-office presence, typically 1 day per week, or as the business needs dictate.
You're excited about this opportunity because you will…
- Develop deep expertise in DoorDash’s QA systems and operational processes to guide meaningful calibration and KPI improvements across multiple lines of business.
- Assist with cross-functional projects by establishing success metrics, coordinating stakeholders, removing blockers, and clearly communicating progress toward goals.
- Conduct deep dives & root cause analyses (RCAs) on failure patterns, reversals, and edge cases to uncover inaccuracy trends/drivers.
- Create data models and dashboards to track calibration metrics, auditor accuracy, and sentiment/resolution trends.
- Partner with the Performance Excellence team and Support Operations stakeholders to translate calibration insights into QA strategy improvements.
We're excited about you because…
- You have a Bachelor’s degree or equivalent experience.
- You bring 4+ years in support operations, QA, trust & safety, or a similar customer-facing analytical role.
- You can communicate with customers, cross-functional partners, and senior leaders effectively.
- You enjoy the opportunity to think outside of the box. You can translate goals and blockers into relevant plans for the department.
- Produce recommendations and use data analysis and hypothesis testing to validate your findings.
- You’re passionate about identifying opportunities through operating at the lowest level of detail and using a first-principles approach to problem-solving.
- You're proficient in Microsoft and/or Google Suite.
- You have experience working with Conversational Intelligence, GPT-based tools, or QA signal models.
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
If you need any accommodations, please inform your recruiting contact upon initial connection.
We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144
To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
Ready to apply?
Apply to DoorDash Mexico
Quality & Calibration Analyst (AI Focused)
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About the Team
The Quality Assurance team drives customer support insights to both our internal & BPO partner stakeholders, utilizing our quality assurance audit data as well as exciting new technologies in Conversational Intelligence AI. The team’s primary role will be to establish mechanisms to ensure our quality audits consistently provide insights that drive process improvements in our support experience.
About the Role
As a Senior Associate, Calibration Insights Analyst, you’ll be a key architect of calibration excellence across DoorDash Support. You will lead analytical deep dives to identify root causes of quality misalignment, investigate edge cases, and surface systemic opportunities to improve how our GenAI-powered QA systems operate.
You’ll collaborate closely with Model Calibration Specialists, the Performance Excellence team, and stakeholders across CXI to implement projects that improve agent performance, policy alignment, and customer outcomes. You’ll help maintain trust in our machine learning model’s QA outputs by ensuring our quality signals are precise, fair, and strategically useful.
This role requires comfort working with GPT/LLM-based systems and the ability to turn raw calibration data into insights that influence our long-term QA strategy.
You will report to the Supervisor Model Calibration Team (MCT) in our CXI QA organization. This role is hybrid and will require an in-office presence, typically 1 day per week, or as the business needs dictate.
You're excited about this opportunity because you will…
- Develop deep expertise in DoorDash’s QA systems and operational processes to guide meaningful calibration and KPI improvements across multiple lines of business.
- Assist with cross-functional projects by establishing success metrics, coordinating stakeholders, removing blockers, and clearly communicating progress toward goals.
- Conduct deep dives & root cause analyses (RCAs) on failure patterns, reversals, and edge cases to uncover inaccuracy trends/drivers.
- Create data models and dashboards to track calibration metrics, auditor accuracy, and sentiment/resolution trends.
- Partner with the Performance Excellence team and Support Operations stakeholders to translate calibration insights into QA strategy improvements.
We're excited about you because…
- You have a Bachelor’s degree or equivalent experience.
- You bring 4+ years in support operations, QA, trust & safety, or a similar customer-facing analytical role.
- You can communicate with customers, cross-functional partners, and senior leaders effectively.
- You enjoy the opportunity to think outside of the box. You can translate goals and blockers into relevant plans for the department.
- Produce recommendations and use data analysis and hypothesis testing to validate your findings.
- You’re passionate about identifying opportunities through operating at the lowest level of detail and using a first-principles approach to problem-solving.
- You're proficient in Microsoft and/or Google Suite.
- You have experience working with Conversational Intelligence, GPT-based tools, or QA signal models.
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
If you need any accommodations, please inform your recruiting contact upon initial connection.
We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144
To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
Ready to apply?
Apply to DoorDash Mexico
Senior Associate, Calibration Insights
Share this job
About the Team
The Quality Assurance team drives customer support insights to both our internal & BPO partner stakeholders, utilizing our quality assurance audit data as well as exciting new technologies in Conversational Intelligence AI. The team’s primary role will be to establish mechanisms to ensure our quality audits consistently provide insights that drive process improvements in our support experience.
About the Role
As a Senior Associate, Calibration Insights Analyst, you’ll be a key architect of calibration excellence across DoorDash Support. You will lead analytical deep dives to identify root causes of quality misalignment, investigate edge cases, and surface systemic opportunities to improve how our GenAI-powered QA systems operate.
You’ll collaborate closely with Model Calibration Specialists, the Performance Excellence team, and stakeholders across CXI to implement projects that improve agent performance, policy alignment, and customer outcomes. You’ll help maintain trust in our machine learning model’s QA outputs by ensuring our quality signals are precise, fair, and strategically useful.
This role requires comfort working with GPT/LLM-based systems and the ability to turn raw calibration data into insights that influence our long-term QA strategy.
You will report to the Supervisor Model Calibration Team (MCT) in our CXI QA organization. This role is hybrid and will require an in-office presence, typically 1 day per week, or as the business needs dictate.
You're excited about this opportunity because you will…
- Develop deep expertise in DoorDash’s QA systems and operational processes to guide meaningful calibration and KPI improvements across multiple lines of business.
- Assist with cross-functional projects by establishing success metrics, coordinating stakeholders, removing blockers, and clearly communicating progress toward goals.
- Conduct deep dives & root cause analyses (RCAs) on failure patterns, reversals, and edge cases to uncover inaccuracy trends/drivers.
- Create data models and dashboards to track calibration metrics, auditor accuracy, and sentiment/resolution trends.
- Partner with the Performance Excellence team and Support Operations stakeholders to translate calibration insights into QA strategy improvements.
We're excited about you because…
- You have a Bachelor’s degree or equivalent experience.
- You bring 4+ years in support operations, QA, trust & safety, or a similar customer-facing analytical role.
- You can communicate with customers, cross-functional partners, and senior leaders effectively.
- You enjoy the opportunity to think outside of the box. You can translate goals and blockers into relevant plans for the department.
- Produce recommendations and use data analysis and hypothesis testing to validate your findings.
- You’re passionate about identifying opportunities through operating at the lowest level of detail and using a first-principles approach to problem-solving.
- You're proficient in Microsoft and/or Google Suite.
- You have experience working with Conversational Intelligence, GPT-based tools, or QA signal models.
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
If you need any accommodations, please inform your recruiting contact upon initial connection.
We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144
To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
Ready to apply?
Apply to DoorDash Mexico
Sr Quality Insights Analyst
Share this job
About the Team
The Quality Assurance team drives customer support insights to both our internal & BPO partner stakeholders, utilizing our quality assurance audit data as well as exciting new technologies in Conversational Intelligence AI. The team’s primary role will be to establish mechanisms to ensure our quality audits consistently provide insights that drive process improvements in our support experience.
About the Role
As a Senior Associate, Calibration Insights Analyst, you’ll be a key architect of calibration excellence across DoorDash Support. You will lead analytical deep dives to identify root causes of quality misalignment, investigate edge cases, and surface systemic opportunities to improve how our GenAI-powered QA systems operate.
You’ll collaborate closely with Model Calibration Specialists, the Performance Excellence team, and stakeholders across CXI to implement projects that improve agent performance, policy alignment, and customer outcomes. You’ll help maintain trust in our machine learning model’s QA outputs by ensuring our quality signals are precise, fair, and strategically useful.
This role requires comfort working with GPT/LLM-based systems and the ability to turn raw calibration data into insights that influence our long-term QA strategy.
You will report to the Supervisor Model Calibration Team (MCT) in our CXI QA organization. This role is hybrid and will require an in-office presence, typically 1 day per week, or as the business needs dictate.
You're excited about this opportunity because you will…
- Develop deep expertise in DoorDash’s QA systems and operational processes to guide meaningful calibration and KPI improvements across multiple lines of business.
- Assist with cross-functional projects by establishing success metrics, coordinating stakeholders, removing blockers, and clearly communicating progress toward goals.
- Conduct deep dives & root cause analyses (RCAs) on failure patterns, reversals, and edge cases to uncover inaccuracy trends/drivers.
- Create data models and dashboards to track calibration metrics, auditor accuracy, and sentiment/resolution trends.
- Partner with the Performance Excellence team and Support Operations stakeholders to translate calibration insights into QA strategy improvements.
We're excited about you because…
- You have a Bachelor’s degree or equivalent experience.
- You bring 4+ years in support operations, QA, trust & safety, or a similar customer-facing analytical role.
- You can communicate with customers, cross-functional partners, and senior leaders effectively.
- You enjoy the opportunity to think outside of the box. You can translate goals and blockers into relevant plans for the department.
- Produce recommendations and use data analysis and hypothesis testing to validate your findings.
- You’re passionate about identifying opportunities through operating at the lowest level of detail and using a first-principles approach to problem-solving.
- You're proficient in Microsoft and/or Google Suite.
- You have experience working with Conversational Intelligence, GPT-based tools, or QA signal models.
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
If you need any accommodations, please inform your recruiting contact upon initial connection.
We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144
To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
Ready to apply?
Apply to DoorDash Mexico
Important Information
Location: Brazil
Job Mode: Full-time
Work Mode: Work from home
Responsibilities and Duties
- Digest requirement from product team and lead the elaboration of high level design for high availability, performance and scalability features for cloud systems;
- Raise and discuss trade-offs of different design approaches elaborating detailed design documents;
- Implement solution from coding to testing to production deployment support;
- Follow agile processes and participate actively in all development phases.
Essential Skills
- Experience with Golang (Go) programming language;
- Extensive experience with modeling, producing and consuming web services based APIs (RESTful or SOAP based);
- Experience on Cloud Service Orchestration;
- Experience with Cloud Development;
- Experience with backend systems development;
- Proven proficiency with object-oriented software development;
- Proven experience on complex architectural design for cloud-based applications;
- Design Patterns;
- Experience with SQL and NoSQL databases such as PostgreSQL, SQL Server, Oracle, MongoDB, Cassandra.
Highly Desirable Skills
- Competent in one or more programming language(s): Go (Golang), Python, Node, C#, C and C++, Java;
- Knowledge on testing (Unit Test, Feature Test, Integration);
- Knowledge of cloud platforms and technologies including Google Cloud, Aws, Azure;
- Experience working with Kubernetes and OpenShift;
- Exposure to and/or experience with Serverless applications;
- An understanding of software design patterns, pipeline automation and software testing principles and methodologies;
- Familiar with designing, coding, deploying and debugging microservices applications;
- Strong Scripting and automation skills;
- Passionate about solving problems in code;
- Is proactive and easily trouble shoots and resolves issues relating to customer service, product, process and tools;
- Comfortable with Linux Environment and shell scripting.
About Encora
Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.
At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Ready to apply?
Apply to Encora-
-
Mobiik es una empresa de soluciones digitales y tecnológicas que desarrolla soluciones eficientes para sus clientes. 💡 Creemos en transformar organizaciones a través de la tecnología, la innovación y el pensamiento creativo. 💻🚀 Los equipos remotos de Mobiik trabajan sin límites, barreras ni fronteras para ayudar a sus clientes a alcanzar sus objetivos. 🌐 La empresa busca construir equipos de profesionales que piensen fuera de la caja y entreguen resultados. 🏆
Descripción del Rol
🤖 El Ingeniero de IA será responsable de desarrollar e implementar modelos, algoritmos y sistemas de inteligencia artificial. 💡 Trabajarán con otros miembros del equipo para identificar los requisitos de datos para proyectos de IA y diseñar técnicas para adquisición, limpieza y preprocesamiento de datos. 📊 También probará y validará los modelos de IA e integrará en aplicaciones de software. 🛠️
Calificaciones
- Habilidades en Ciencias de la Computación
- Experiencia en el desarrollo de redes neuronales y algoritmos de reconocimiento de patrones
- Experiencia Modelos de lenguaje a gran escala (LLM), Modelos Multimodales (LMM), ML y DP.
- Habilidades en desarrollo de software y competencia en lenguajes de programación como Python, Java o C++
- Fuertes habilidades analíticas y de resolución de problemas
- Excelentes habilidades de comunicación y trabajo en equipo
- Un título en Ciencias de la Computación, Inteligencia Artificial o un campo relacionado
- Experiencia en el desarrollo de sistemas de IA para industrias como la salud, finanzas o transporte es una ventaja
- Experiencia con plataformas de computación en la nube y tecnologías de big data es una ventaja (Azure) 📈💻
-
Ready to apply?
Apply to Mobiik
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
The Govtech team builds rich and creative features that set the standard for the ride sharing industry. We are seeking a highly motivated, early-career software engineer to contribute to the development of features that facilitate Lyft's entry into new markets, ensure the company's adherence to local regulatory requirements, and utilize the latest AI technologies to enhance the user experience. Ownership is a key quality for this team; this person should be driven to track a project to successful completion and beyond, taking initiative to work with other teams and functions to ensure the code they write reaches users and drives impact.
As a Software Engineer for Govtech, you’ll be responsible for executing integrations with partners, making tradeoffs between technical investments and product work, and collaborating with other engineers on system design. You will help shape the product direction by developing a deep understanding of the customer and working closely with cross-functional partners from Product, Design, Science, and Operations. You will work with a group of talented engineers and help the team to deliver significant business impact. If you enjoy collaborating with technical and nontechnical partners in a fast-moving space with real-world impact, this is the role for you.
Responsibilities:
- Help establish roadmap and architecture based on technology and understanding of customer needs
- Write well-crafted, well-tested, readable, maintainable code
- Can help lead large projects from idea to positive execution
- Unblock, support and communicate with external and internal partners to achieve results
- Participate in code reviews to ensure code quality and distribute knowledge
- Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices
Experience:
- Engineering industry experience
- BS/MS in Computer Engineering, Computer Science, or related field, or equivalent work experience.
- Experience with object-oriented programming
- Experience in distributed systems
- Experience working with databases, relational or NoSQL
- Write clear, scalable and clear design documentation
- Design, build and improve a set of team owned components
- Nice to have: experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.)
- Nice to have: experience with machine learning and building LLM applications
Nice to have: proficiency in AI tools.
Please submit your resume in English.
Ready to apply?
Apply to Lyft
- Innovate with Purpose: Build impactful solutions for customers worldwide.
- Join Excellence: Work in a diverse, collaborative, and innovative team.
- Shape the Future: Lead in redefining revenue optimization.
- Grow Together: Unlock your potential in a supportive environment.
We’re building production GenAI features and looking for a staff software developer with strong engineering skills and a passion for building scalable AI systems. You’ll contribute to the design and delivery of GenAI features, collaborate closely with technical leads and senior stakeholders, and play a key role in maintaining technical quality and scalability across a feature area.
Own AI-enabled components end-to-end and deliver measurable improvements in quality and reliability. You operate independently, drive design decisions within your area, and help set strong engineering standards through reviews and mentorship.
🔧 What you’ll do
- Own delivery for significant features or systems: clarify requirements, design the solution, execute, ship, and iterate.
- Build and maintain reliable services and workflows that support AI features in production.
- Define how quality is measured for your area (success metrics, test strategy, evaluation approach) and automate it wherever possible.
- Run structured experiments, interpret results, and translate learnings into product improvements.
- Improve operational readiness: deployment automation, monitoring/alerting, incident follow-up, and performance/cost optimizations.
- Mentor teammates through design feedback, code reviews, and practical guidance.
🎯GenAI expectations
- Solid working knowledge of how modern AI applications are built and evaluated (you may not be a specialist, but you understand the core concepts and trade-offs).
- Strong learning speed: can evaluate new models/tools, assess feasibility, and recommend a path forward based on evidence and ROI.
- Builds solutions that are safe and compliant by design (privacy, data handling, safeguards), partnering with Legal/Security as needed
✅ Required skills & knowledge
- 6+ years in software engineering.
- 3+ years building and shipping production software in product teams.
- Bachelor’s in computer science, Engineering, or related field.
- Strong software engineering fundamentals and system design.
- Hands-on coding in Python and/or TypeScript (or similar), APIs/services, data pipelines.
- Cloud experience, CI/CD, automated testing, observability; engineers own quality without dedicated QA.
- Experimentation mindset: define metrics, build evals, iterate quickly; willingness to learn GenAI rapidly.
🧩 Nice to Have
- GenAI/LLM: prompt engineering, retrieval/RAG, function/tool-calling, evaluation pipelines, fine-tuning/LoRA, embeddings/vector search.
- LLMOps: experiment tracking, prompt/version control, cost/latency optimization.
- Tools: serverless AWS, LangChain/LangGraph, OpenAI/Anthropic/Azure OpenAI; vector DBs (Pinecone/FAISS/Milvus).
- External contributions (open source, blogs, talks).
🔨 How we work
- We balance exploration with delivery: test ideas quickly, then productionize what works.
- “Done” means quality goals are met; then we keep improving accuracy, cost, and performance.
- The team owns systems end-to-end (build, release, reliability).
🗒️ Note:
- This role requires employees to work within Eastern Standard Time (EST) business hours. While we are open to candidates from outside the EST time zone, please be prepared to adjust your working hours to align with this time zone. Flexibility will be essential to ensure seamless collaboration with the team and stakeholders.
- This position is fully remote, offering you the flexibility to work from anywhere. We embrace a results-driven work culture, focusing on performance and collaboration over location. As part of our team, you’ll have the opportunity to build a work-life balance that suits you, while staying connected with a diverse, global team through virtual tools and regular online communication. Whether you're working from home, a co-working space, or another location of your choice, we’re committed to supporting you with the resources and autonomy needed to succeed in a remote environment.
🍎 Benefits
- Market Leading Compensation Package.
- Wellness Programs to Support Health and Wellbeing.
- Working with the latest tools and technologies in a fast-paced environment.
- Remote Work Flexibility.
- Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
- Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
- Global Connected Culture: Hubs in Romania, UK, US, Canada.
- Dynamic Work Culture: Thrive in our innovative and multicultural environment.
- Grow with Us: Continuous development opportunities.
Ready to apply?
Apply to Varicent
Machine Learning Engineer, Applied AI (Hybrid)
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About Us
SimplePractice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine.
At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice.
More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden—empowering solo and small group practitioners to thrive alongside their clients.
Award-winning and people-first, SimplePractice is shaping the future of health tech. Recognized by MedTech Breakthrough, the Digital Health Awards, Best Places to Code in Mexico and Built In's Best Places to Work.
The Role
Our team is dedicated to empowering clinicians through data-driven innovations. We combine rigorous data science with practical engineering to build systems that make daily workflows more efficient, insightful, and intuitive. If you love tackling challenging problems and turning data into meaningful outcomes, you’ll find a welcoming and dynamic environment here.
As a Machine Learning Engineer, Applied AI, you’ll be at the forefront of building product features that help clinicians work effectively and efficiently, providing quality care to patients. You’ll be designing experiments, building robust models, tuning prompts, implementing LLM evals, and driving projects from idea to prototype to production with product, engineering and devOps teams. You’ll also play an important role in the roadmapping exercises of our ML platform.
We value mentorship, open communication, and pushing the boundaries of what AI can do in a real-world healthcare context. Whether you’re fine-tuning a model, presenting insights to stakeholders, or brainstorming new product features, your work will have a direct and meaningful impact.
Responsibilities
- AI Prototyping and Development
- Develop AI workflows, customize data pipelines, tune models, and engineer prompts to bring idea to prototype
- Work with subject matter experts to set up evaluation for AI workflows, ensuring rigor, quality and safety of content output
- Work with eng partners to integrate AI workflows into production
- Build and configure AI performance monitoring with proper reporting and alerts
- Optimize and maintain AI workflows for performance, reliability, and long-term scalability
- Research
- Start with the Job-to-be-done, dive deep into the domain and understand the problem from user perspective
- Decompose problems into conquerable pieces. Design solutions to address each with cross-disciplinary thinking and big picture in mind.
- Conduct exploratory data analysis to answer key questions and test assumptions. Design experiments and build prototypes for proof-of-concept.
- Build artifacts to illustrate the findings with rigor and how they inform the roadmap and decisions
- Cross-Functional Collaboration
- Provide AI expert advice to product and eng partners in shaping product roadmap
- Partner closely with software eng, product, data eng, ML platform teams to scope and plan in execution
- Communicate timeline, milestones, findings w/ internal stakeholders
- Mentor & Advocate Best Practices
- Guide less experienced team members, sharing knowledge on LLM workflows and AI/ML model lifecycle
- Champion a culture of experimentation, continuous learning, and proactive problem-solving
- Drive Innovation
- Stay current with emerging ML tools and technologies, integrating new techniques that elevate our product capabilities
- Look for creative ways to leverage data to make clinicians’ lives easier, more efficient, and more effective
Desired Skills & Experience
- BS or above in Computer Science, Statistics or a related technical field
- 5+ years of experience in Machine Learning, with proven track record of bringing ideas to life, from prototype to productized features
- Strong proficiency in Python and hands-on with advanced data analysis tools
- Strong skills in data engineering and self-sufficient in data pipelines for the AI workflow
- Experience with AWS (or other cloud platforms) for model deployment
- Comfortable designing and evaluating LLM-driven workflows
- Familiarity with retrieval pipelines and vector databases
- Problem-oriented mindset with strong cross-disciplinary thinking and a bias toward simplicity and clarity in solving problems
- Comfort working with remote teams, using GitHub, Slack, Notion, and Zoom
- Proficiency in English with strong communication and collaboration skill
Bonus Points
- Experience with RAG architecture and context/state management for LLMs
- Familiarity with LLM eval tools and human-in-the-loop evaluation process
- Experience with Outerbounds or similar ML orchestration platforms
- Experience with Argo Flows for CI/CD
- Experience with prompt management tool like Langfuse
- Familiarity with Kubernetes for container orchestration
- Background in healthcare, clinical workflows, or regulated domains
Benefits
We offer a competitive benefits program including:
- Privatized Medical, Dental & Vision Coverage
- Work From Home stipend
- Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
- Monthly Meal Reimbursement
- Holiday Bonus, 15-day Aguinaldo
- Hybrid Work Schedule & Catered Lunch
- A relocation bonus for candidates joining us from a different city
- Employee Resource Groups (ERGs)
California Job Applicant Privacy Notice
Thank you for your interest in opportunities at SimplePractice LLC (“SimplePractice” or “us” or “we” or “our”). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice.
For more information about our privacy practices, please contact us at privacy@simplepractice.com.
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Global Engineering Director | People Tech
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About Nubank
Nu is the world's largest digital banking platform outside of Asia, serving over 127 million customers across Brazil, Mexico, and Colombia. Guided by its mission to fight complexity and empower people, Nu caters to customers' complete financial journey — promoting financial access with responsible lending and transparency. Recognised by Time 100 Companies, Fast Company's Most Innovative Companies, and Forbes World's Best Banks, Nu is now entering its next growth cycle: accelerating internationalisation outside Latin America and expanding into new verticals beyond financial services.
About the Team
The People Analytics Technology Operations (PATO) team is redefining what People & Culture infrastructure looks like for a company operating at global scale with an AI-first mandate. We don't run HR software — we build the systems that make HR itself obsolete in its traditional form. Our work touches every Nubanker, every country, every moment of the employee lifecycle. We are the internal frontier lab for agentic people systems.
About the Role
Here is the core question this role exists to answer: if you were designing People & Culture infrastructure from scratch today — knowing that AI agents will run most operations, humans will audit rather than execute, and the channels and surfaces workers interact with don't fully exist yet — what would you build?
This isn't a rhetorical question. It's the actual brief.
The SaaS era of HR technology is being disrupted faster than most incumbents can adapt. Workday, SAP, ServiceNow — products built for a world of human workflows and form-based interfaces — are structurally ill-equipped for an agent-native operating model. The real competitive moat in this next era won't be features. It will be the depth of integration within a specific domain, and the quality of the data and reasoning layer that sits beneath it. We have the rare opportunity to build that solution — purpose-built for the People & Culture domain — inside one of the most technically ambitious companies in the world.
As Global People Data & Tech Director, you will lead the effort to design and build this from the ground up. You will define what the agentic HR stack looks like: the data models that make agents actually useful, the orchestration layer that lets them act with minimal human friction, the audit surfaces that let people stay in control without becoming bottlenecks, and the foundational platform that scales to 40+ markets without scaling the team that builds it. Agentic development practices aren't a side methodology here — they are how this organisation will operate. You build with agents, you build for agents, and your team stays lean precisely because of it.
This role isn't for someone who has deep experience with HR software. It's for someone who looks at HR software and sees an industry ripe to be rebuilt. You are a product and infrastructure thinker who happens to care deeply about the employee experience — and who has the technical depth and organisational leadership to translate that vision into production systems used by hundreds of thousands of people.
Key Responsibilities
Define the Agent-Native HR Stack
- Design the architecture for a People & Culture platform where agents are first-class citizens: capable of executing hiring, onboarding, payroll, compliance, and performance workflows with minimal human intervention.
- Define the human-in-the-loop model — which decisions require human review, through what interfaces, with what level of latency — so that oversight is meaningful rather than ceremonial.
- Identify and kill the workflows that should no longer exist at all.
Build the Data Foundation
- Architect the People data layer that will serve as the substrate for agent reasoning, predictive analytics, and LLM-powered insight generation for the next decade.
- Ensure the data model is jurisdiction-aware from day one — built to accommodate the legal, cultural, and operational variance of 40+ markets without requiring structural rework per country.
- Drive the transition from fragmented HR data silos to a unified, real-time, auditable data layer that agents and analysts can trust equally.
Build With and For Agents
- Apply agentic development practices to your own team's engineering process — using agents to write, test, review, and deploy code so that headcount does not scale linearly with product scope.
- Lead the development of real-time AI-powered employee experiences: intelligent copilots, proactive guidance systems, and autonomous support channels that resolve needs before they become tickets.
- Advance Nubank's application of large language models to unstructured People data — feedback, communications, performance narratives — turning qualitative signal into structured organisational insight.
Own the Platform Vision
- Define the comprehensive HR platform roadmap — what we build, what we integrate, and what we deliberately do not own — with a bias toward deep integration over broad coverage.
- Ensure the platform is designed for global scale from the start: multi-currency, multi-jurisdiction, multi-language, and operable across legal entities without per-country engineering investment.
- Bridge strategic vision with hands-on execution, staying close enough to the codebase and architecture to make credible decisions and earn the trust of your engineering team.
Lead the Organisation
- Build and lead a high-performing, deliberately lean team that punches well above its headcount because it builds and operates with agents.
- Develop senior technical leaders who can own domains end-to-end, reducing coordination overhead and enabling faster iteration.
- Foster a culture of intellectual honesty — one that questions inherited assumptions about how HR technology should work, and is willing to discard anything that doesn't hold up.
Qualifications & Skills
What We're Looking For
We are not looking for someone who has spent their career in HR technology. We are looking for someone who has built consequential software systems, who thinks seriously about agents and automation, and who is intellectually excited by the opportunity to apply that background to a domain that is fundamentally underbuilt.
Required
- 10+ years in software engineering and technology leadership, with demonstrated experience owning large-scale production systems from architecture through operation.
- Deep fluency in data architecture and data modelling — the ability to design canonical data structures that remain coherent as business complexity grows across jurisdictions and entity types.
- Hands-on experience building with or designing for agentic systems: familiarity with LLM-based reasoning, tool use, multi-agent orchestration, and the failure modes that come with autonomous execution.
- Experience leading platform or infrastructure products — systems used by other teams and applications, not just end users — with the taste and discipline that entails.
- Proven ability to scale impact without scaling headcount: through leverage, tooling, great architecture, and a culture that defaults to automation before process.
- Strong engineering management skills, including the ability to hire, develop, and retain senior technical talent and engineering leaders.
Valued
- Experience building products that operate across multiple legal jurisdictions — especially products where regulatory variance is a first-class design constraint, not an afterthought.
- Background in developer platforms, internal tooling, or B2B SaaS — contexts where you have thought carefully about API design, data contracts, and integration depth.
- Familiarity with the People & Culture domain — not as a practitioner, but as a product builder who has spent time understanding what HR teams actually do, where the friction lives, and what automation can and cannot replace.
- Experience operating within a high-growth technology company where ambiguity is the norm and the product surface changes faster than any roadmap.
Core Leadership Skills
- Business Acumen: Drives strategic alignment by reading market dynamics, spotting where incumbents are structurally vulnerable, and translating that into build-vs-integrate decisions with long-term leverage.
- Communication: Moves between technical depth and executive narrative fluently — able to defend architectural choices with an engineer and explain the same decision to a board.
- Agile Adaptability: Leads in conditions of genuine uncertainty, treating early product iterations as learning instruments and calibrating direction based on evidence rather than original conviction.
Role Details
Location: São Paulo, Mexico City, Bogotá, or US (Palo Alto, Miami, or Virginia) | Location-Specific Disclosures
Reports To: Suzana Kubric, CHRO at Nubank
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Commercial Operations Lead (Líder de Operaciones Comerciales) - Mexico City (Hybrid)
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Ready to accelerate your career?
Clara is the fastest-growing company in Latin America. We've built the leading solution for companies to make and manage all their payments. We already help over 20,000 large and growing businesses operate with agility and financial clarity through locally issued corporate cards, bill pay, financing, and a powerful B2B platform built for scale.
Clara is backed by some of the most successful investors in the world, including top regional VCs like monashees, Kaszek, and Canary, and leading global funds like Notable Capital, Coatue, DST Global Partners, ICONIQ Growth, General Catalyst, Citi Ventures, SV Angel, Citius, Endeavor Catalyst, and Goldman Sachs - in addition to dozens of angel investors and local family offices.
We’re building the financial infrastructure that powers high-performing organizations across the region. We invite you to join us if you want to be part of a fast-paced environment that will accelerate your career and support you to do some of the best work of your life alongside a passionate and committed team distributed across the Americas.
What you'll do
We're looking for a Commercial Operations Lead to be the strategic backbone of our commercial organization. In this role, you will serve as the primary partner to all commercial teams—Sales, Partnerships and Customer Success—ensuring the right processes, tools, data, and insights are in place for them to perform at their best. You will lead a team of and act as a key connector between commercial leadership and cross-functional stakeholders, driving alignment, operational excellence, and continuous improvement across the revenue engine to fuel Clara's mission of building the future of corporate finance in Latin America. Your job is not only to set up the best tools and processes for the success of Clara’s growth, but also to define and refine the “ways of selling” based on best experiences from commercial leaders.
Your primary responsibilities will include:
- Lead and develop a team of revenue operation experts, serving as the strategic partner for all commercial teams and key stakeholders across the organization.
- Define and execute the commercial operations strategy aligned with Clara's growth goals in Mexico, Brazil, and Colombia.
- Coordinate with Product for any launches that affect onboarding and sales paths, to optimize results and minimize bugs
- Own revenue reporting, forecasting, and performance management— working with the Data Team to develop clear insights and actionable decisions for commercial leaders using Hubspot and Metabase.
- Drive continuous improvement of the commercial playbook, from prospecting to closing, upsell and crosssell, and Customer Success transition.
- Manage the commercial tech stack, primarily HubSpot, Fathom and Amplemarket, ensuring data integrity, process compliance, and adoption across all teams.
- Own the variable compensation framework for all commercial teams — including model design, policy definition, goal definition, result calculation, and governance — in close partnership with Finance and People.
- Explore and implement automation opportunities using tools like N8N, Extend, and Replit to streamline the sales cycle and complement the efforts of the Product and Engineering teams.
- Oversee Book of Business allocation for all sales agents and SDRs across Mexico, Brazil, and Colombia, and oversee Portfolio assignment for Customer Success teams.
- Collaborate cross-functionally with Finance, Operations, People, Product, and Customer Success to ensure alignment and a seamless customer experience.
Who you are
“We’re looking for someone who meets the minimum requirements to be considered for the role. The preferred qualifications are a bonus, not a requirement.”
Must haves
- 5+ years of experience in Sales Operations, Revenue Operations, or a related commercial management role—ideally in a high-growth Fintech or SaaS environment
- Proven experience managing and developing teams.
- Deep knowledge of a CRM such as HubSpot or Salesforce, and of sales enablement and prospecting AI tools like Fathom and Amplemarket; experience with BI platforms such as Metabase.
- Experience or interest in AI tools to automate workflows and commercial processes.
- Strong analytical skills—comfortable working with large datasets, building reports, and deriving actionable insights. Deep knowledge of using Google Drive tools such as Sheets for this.
- Excellent verbal and written communication and stakeholder management skills. Proven ability in conflict resolution and managing difficult conversations.
- Adaptability to fast-changing environments and a proven track record of role-specific execution.
Nice to haves
- Independent analytical skills using SQL or Python (ok if this is done primarily through LLM support).
- Experience with N8N, Amplemarket, Databricks, or Google Script.
- A good sense of humor.
Why join Clara
At Clara, you’ll have the autonomy, speed, and support to make meaningful impact — not just on your team, but on how organizations are run across Latin America.
Who we are
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We’re the leading B2B fintech for spend management in Latin America.
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Certified as one of the world's fastest-growing companies, a Great Place to Work, and a LinkedIn Top Startup.
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Passionate about making Latin America more prosperous and competitive.
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Constantly innovating to build financial infrastructure that enables each of our customers to thrive.
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Product-led, high-talent-density culture — designed for builders who raise the bar.
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Proud of our open, inclusive, and values-driven environment.
What we believe in
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#Clarity. We say things clearly, directly, and proactively.
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#Simplicity. We reduce noise to focus on what really matters.
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#Ownership. We take responsibility and never wait to be told.
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#Pride. We build products and experiences we’re proud of.
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#Always Be Changing (ABC). We grow through feedback, risk-taking, and action.
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#Inclusivity. Every voice counts. Everyone contributes to our mission.
What we offer
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Competitive salary and stock options (ESOP) from day one
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Multicultural team with daily exposure to Portuguese, Spanish, and English (our corporate language)
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Annual learning budget and internal accelerated development paths
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High-ownership environment: we move fast, learn fast, and raise the bar — together
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Smart, ambitious teammates — low ego, high impact
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Flexible vacation and hybrid work model focused on results
If you’re ready for growth, ownership, and impact — apply now and help us redefine B2B finance in Latin America.
Clara’s Hybrid Policy
Claridians in a hybrid mode split their time between working from the office, talking to or visiting customers, or working from home. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for each individual and team.
We don't enforce a minimum number of days for most roles, but you're expected to spend time at the office organically, and be at the office most days during your ramp-up or when required by your leader.
Ready to apply?
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Conversational Designer IA
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At Blip, we are looking for a Conversational AI Designer who combines creativity, strategic thinking, and deep technical knowledge of LLMs to build next-generation AI experiences. You won’t just design flows; you will shape how AI interacts, thinks, and solves problems, ensuring every interaction is intelligent, safe, and aligned with business objectives.
This role involves close collaboration with UX, Developers, Product Managers, and data scientists to define, prompt, and optimize AI-driven agents that deliver human-like value at scale.
Main Responsibilities:
- AI Product Architecture: Define and structure AI-driven products using human-centered methodologies, moving beyond rigid trees to intent-based and generative systems.
- Prompt Engineering & Persona Design: Craft and refine system prompts, defining the AI’s personality, tone, and guardrails to ensure consistent and safe brand representation.
- Strategic AI Vision: Propose and justify design decisions based on LLM performance, data insights, and business ROI, identifying where generative AI adds real value vs. traditional logic.
- Agile AI Development: Collaborate with technical teams to define MVPs, manage context windows, and prioritize features based on model capabilities and limitations.
- Data-Driven Optimization: Drive continuous improvement through the analysis of conversation logs, RAG (Retrieval-Augmented Generation) accuracy, and AI performance metrics.
- Cross-functional Leadership: Bridge the gap between complex AI technicalities and user needs, ensuring seamless integration of AI features into the user journey.
Requirements
- Background: Bachelor’s degree in Computational Linguistics, Cognitive Science, Design, or related fields.
- Expertise: Proven experience in Conversational AI (LLMs, NLP, NLU), specifically building autonomous agents or advanced chatbots.
- AI Tooling: Strong understanding of how LLMs work (tokens, temperature, RAG) and experience with AI orchestration platforms.
- Design Skills: Proficiency in Figma for prototyping and flow mapping, with an ability to document non-linear AI behaviors. (Plus)
- Languages: Advanced English proficiency (crucial for high-quality prompt engineering).
- Methodology: Mastery of Agile/Scrum, "test-and-learn" mindset typical of AI development and Design Thinking
- Soft Skills: High level of empathy to predict user friction and critical thinking to mitigate AI hallucinations.
Preferred Qualifications
- Experience with Prompt Engineering frameworks and fine-tuning workflows.
- Knowledge of Python or basic technical understanding of API integrations.
- Previous experience in high-growth SaaS or AI-native startups.
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