Staff AI Engineer - Remote Work | REF#302923

BairesDev; México; Remote; MXN 2,063,000 - 3,095,000; Full time

Benefits offered by this job

Remote work 100%

Competitive USD pay

Home-office setup provided

Flexible hours

Paid parental leave

Job summary

BairesDev, a global technology leader, is seeking a Staff AI Engineer to drive backend AI features end to end, collaborating with Principal and Senior engineers while staying hands-on.

You will build LangGraph flows, RAG pipelines, and ensure evaluation coverage across shipped AI components, unblocking the pod and shaping production LLM systems.

This is a 100% remote role with competitive USD compensation, flexible hours, home-office setup, and growth opportunities in a diverse global environment.

Qualifications

• 8+ years of Python experience and hands-on backend AI feature development.
• Proven work building production LLM systems with LangChain/LangGraph.
• Strong English communication; remote work readiness.

Responsibilities

• Lead backend AI features end to end and own a component of a larger project.
• Build LangGraph flows and RAG pipelines across data types.
• Provide evaluation coverage and unblock engineers in your pod.

Skills

Python

LangChain

LangGraph

LLM evaluation

React/Next.js

TypeScript

AWS

CI/CD

Distributed systems

REST/GraphQL

English

Tools

LangSmith

WebSockets

Pinecone

FAISS

Qdrant

Kubernetes

REST/GraphQL

Job description

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

• 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.

What We Are Looking For

• 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.

Nice To Have

• 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.

How we do make your work (and your life) easier:

• 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.

Join a global team where your unique talents can truly thrive and make a significant impact!