LLM Jobs in Mexico City.
All active LLM roles based in Mexico City.
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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
Sr Quality Insights 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
Senior Associate, Calibration Insights
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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
AI Quality 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
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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) 📈💻
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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)
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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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Scopely is looking for a Senior Technical Program Manager to join our Enterprise Technology team in Mexico City on a hybrid basis, working 2-3 days a week from the hub.
At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.
The IT/Ops team keeps everything behind the scenes running smoothly and we make sure all teams are equipped and connected - whether across the office or halfway around the world. AV struggles? Don’t worry, we’ve got this.
What You Will Do
This role centers on technical program leadership, with an emphasis on delivering enterprise technology capabilities through a product- and service-oriented mindset. The Sr. TPM is responsible for driving the end-to-end delivery of large-scale programs—spanning discovery, planning, execution, and continuous improvement while ensuring alignment with enterprise architecture, platform strategies, and operational excellence standards.
The ideal candidate brings deep experience in technical infrastructure and systems integration, combined with the ability to manage programs as evolving products—focused on usability, scalability, lifecycle management, and long-term business value
You will partner closely with Enterprise Architecture, Cloud Operations, IT Support, Security, and Product & Platform teams to shape and deliver solutions that strengthen Scopely’s global technology ecosystem.
- Lead end-to-end delivery of M&A technology integrations, including systems onboarding, identity and access alignment, data migration, and platform consolidation
- Drive office buildout programs, delivering core IT infrastructure such as network, cabling, AV, and end-user technology to enable day-one operational readiness
- Oversee complex enterprise integration initiatives, ensuring seamless connectivity between acquired entities, partners, and Scopely’s core platforms
- Manage programs across network infrastructure, cloud platforms, endpoint services, and enterprise systems, ensuring scalability, performance, and security
- Coordinate cross-functional teams to deliver standardized, repeatable solutions for integrations and office deployments
- Ensure alignment with enterprise architecture, security policies, and operational standards
- Apply a product mindset to enterprise IT services, focusing on lifecycle management, user experience, and continuous improvement
- Partner with technical and product teams to identify integration opportunities that enhance the scalability, resilience, and reusability of shared platforms
- Facilitate prioritization and trade-off decisions across competing initiatives, balancing technical feasibility, business impact, and alignment with enterprise goals
- Define and evolve repeatable integration and deployment playbooks for M&A and office buildouts
- Partner with product and platform teams to align IT services with broader enterprise roadmaps
- Identify and drive opportunities to leverage AI and automation (including Agentic AI) to improve IT service delivery, integration processes, and operational workflows
- Lead programs that incorporate AI-enabled solutions such as intelligent automation, service copilots, and workflow optimization
- Ensure AI initiatives align with enterprise security, governance, and data privacy standards.
- Partner with senior stakeholders across business and technology teams to align on priorities, timelines, and outcomes
- Drive program governance, including roadmap planning, dependency management, risk mitigation, and executive reporting
- Communicate clearly and consistently with leadership on progress, risks, and value delivery
- Manage program budgets, forecasts, and cost optimization across integrations and infrastructure initiatives
- Oversee vendor selection, onboarding, and performance across network, hardware, and service providers
What We’re Looking For
- 8+ years of experience in Technical Program or Project Management within enterprise technology environments
- Strong experience managing programs involving infrastructure, cloud platforms, systems integration, and enterprise IT services
- Proven ability to deliver complex, cross-functional initiatives at scale
- Experience working in environments where IT services are developed and managed with a product mindset
- Strong understanding of enterprise technology domains (e.g., cloud infrastructure, networking, identity, security, APIs, and integrations).
- Demonstrated ability to partner with engineering and product teams to define roadmaps, prioritize work, and drive delivery.
- Excellent stakeholder management and communication skills, including executive-level reporting.
- Experience managing budgets, vendors, and external partners
- Strong English language skills are required for this role as we have a highly diverse and global business
Bonus Points
- Experience in gaming, entertainment, or high-growth technology companies.
- Background in internal platforms, enterprise SaaS, or shared service environments
- Experience with AI/ML-driven solutions, including automation or intelligent systems (e.g., Agentic AI, copilots, workflow automation)
- Familiarity with LLM-based applications or AI service delivery models
- Experience driving process improvements across IT, Security, or Operations functions
- PMP, PgMP, Agile, or Product-related certification.
- Experience working in global, matrixed organizations
At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
This role will have access to sensitive and/or confidential employee or customer personally identifiable information (PII) and/or Company financial information, and therefore will be subject to background checks upon receiving a conditional offer of employment.
About Scopely
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Niantic games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/.
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @scopely.com.
Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice.
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
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About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
Role Summary
To achieve our mission to enable remote employment globally, we need to build a world-class product experience backed by our core Payments platform that is seamless, convenient, and reliable for our customers. We face new and exciting challenges every day and need your help to solve them. We are seeking a Legal Counsel – Employment to provide comprehensive legal guidance and support on various matters related to employee management.
The Legal Counsel - Employment (LATAM) will be reporting to the Director Global Employment and Workforce and would be a critical role in leading the labour & employment laws charter for Payoneer and WFM entities in the LATAM regions.
Prior Argentina employment law experience is mandatory. Exposure to other LATAM jurisdictions is a strong advantage.
Location – Buenos Aires, Sao Paulo or Mexico
What you’ll do
· Provide high-quality, practical employment law advice across the full employee lifecycle in Argentina, with the ability to support broader LATAM matters where relevant.
· Acting as the regional lead and subject matter expert for the region.
· Lead and support employee relations matters, including terminations, separations, disciplinary processes, and performance-related actions, ensuring risk-aligned outcomes.
· Advise on labour contracting and subcontracting compliance, ensuring ongoing adherence to regional regulatory requirements.
· Draft, review, and refine employment documentation, including employment agreements, separation and mutual termination letters, transfer/relocation documents, full and final settlement letters, and statutory HR policies.
· Contribute to the development and implementation of employment, HR, compensation, and workforce-structuring policies that align with local laws and business needs.
· Stay ahead of legal and regulatory changes across national and local employment laws, and translate updates into actionable guidance for internal stakeholders and clients.
· Collaborate closely with HR Ops, Payroll, Sales, GTM, Finance, and other internal teams to deliver coordinated, commercially aligned legal solutions.
· Support compensation and benefits reviews, ensuring alignment with statutory standards and market practices.
· Conduct legal research and prepare clear, business-friendly analysis on employment and labor law issues.
· Deliver training and guidance to internal teams and clients on employment law compliance, risk mitigation, and best practices.
· Support individual and large-scale workforce transitions, reorganisations, and restructuring, ensuring compliance with all legal requirements and documentation standards
Who you are
· You hold a Bachelor’s degree in Law; a Master’s or LLM is an added advantage.
· You bring 5–6 years of hands-on experience in Argentinian employment and labor law. Experience supporting other LATAM jurisdictions is a strong plus.
· You have deep knowledge of Argentinian labor laws, regulations, case trends, and practical market practices.
· You understand the legal nuances of hiring, employee lifecycle management, workforce transitions, and separations.
· You have strong drafting skills and are experienced in preparing and reviewing employment agreements, HR policies, separation documentation, and related employment artefacts.
· You possess excellent analytical, research, and problem-solving abilities, with the ability to translate legal requirements into practical, business-aligned guidance.
· You communicate legal concepts clearly and confidently, partnering effectively with HR, business teams, and leadership.
· You can work independently, manage multiple matters simultaneously, and operate with sound judgment in fast-moving environments.
· Able to manage high volume case load.
· You have strong attention to detail, reliability, and a commitment to accuracy and compliance.
· You are proactive, adaptable, and comfortable navigating evolving laws, regulations, and business needs.
· Able to think outside of the box and interpret the law.
#LI-AG3
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
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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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