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Lead Software Engineer - Generative AI

Varicent

Full-time
Mexico
software engineering
engineer
python
aws
qa
Apply for this position

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.

Apply for this position
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About the job

Full-time
Mexico
Senior Level
Posted 8 hours ago
software engineering
engineer
python
aws
qa

Apply for this position

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Lead Software Engineer - Generative AI

Varicent

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.

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