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Staff AI Engineer - Remote Work | REF#305198
BairesDev
2 Oct- Lima, Perú
- Servicios y consultoría de TI
Hace 23 días

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Staff AI Engineer - Remote Work | REF#305198
Lima
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Postular con:Staff AI Engineer - Remote Work | REF#305198
Servicios y consultoría de TI
Resumen
At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.
Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.
When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.
Staff AI Engineer at BairesDev
In this role, you'll lead backend AI features end to end, owning a component of a larger body of work alongside a Principal Engineer and a tech lead. Staying hands-on throughout, you'll build LangGraph flows and RAG pipelines while holding evaluation coverage on everything you ship. This is your opportunity to lead technically while remaining deeply hands-on, unblocking engineers in your pod and shaping how production LLM systems are built, maintained, and evolved over time.
What You'll Do
Apply now!
Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.
When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.
Staff AI Engineer at BairesDev
In this role, you'll lead backend AI features end to end, owning a component of a larger body of work alongside a Principal Engineer and a tech lead. Staying hands-on throughout, you'll build LangGraph flows and RAG pipelines while holding evaluation coverage on everything you ship. This is your opportunity to lead technically while remaining deeply hands-on, unblocking engineers in your pod and shaping how production LLM systems are built, maintained, and evolved over time.
What You'll Do
- Lead and own backend AI features end to end, breaking down and delivering complex work.
- Build and maintain LangGraph agent flows and RAG pipelines over structured and unstructured data.
- Hold evaluation and tracing coverage on shipped AI behavior.
- Stay hands-on across development phases, building alongside Principal and Senior engineers.
- Unblock Senior engineers in the pod and surface blockers early.
- 8+ years of experience in Python.
- Proven experience building, maintaining, and evolving production LLM systems, not just zero-to-one projects.
- Hands-on experience with LangChain and LangGraph, including agent flows, tool and skill invocation, and state management.
- Experience building RAG pipelines over structured and unstructured data.
- Experience with LLM evaluation and tracing, including LangSmith, LLM-as-judge, and golden datasets.
- 4+ years of experience with React/Next.js and TypeScript.
- Experience with MCP server development against structured databases and data lakes.
- Experience with streaming agent interactions, including LangGraph API and WebSockets.
- Background with CI/CD pipelines and service observability, including logging, tracing, and SLOs.
- Experience with distributed systems, microservices, and REST/GraphQL on AWS.
- Strong prompt engineering skills, iterating against measured output.
- Advanced proficiency in English.
- Experience with model gateway and routing such as Bedrock or LiteLLM.
- Familiarity with agent-to-agent communication patterns (A2A).
- Experience with vector databases such as Pinecone, FAISS, Qdrant, or pgvector.
- Security mindset, including secure coding and AuthN/AuthZ practices.
- Analytics and data visualization experience.
- Experience with ServiceNow or enterprise workflow integration.
- 100% remote work (from anywhere).
- Excellent compensation in USD or your local currency if preferred
- Hardware and software setup for you to work from home.
- Flexible hours: create your own schedule.
- Paid parental leaves, vacations, and national holidays.
- Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
- Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.
Apply now!
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