Remote Python AI Engineer - Production LLM & RAG Expert

BairesDev

Venezuela

Remote

VES 106,667,000 - 168,889,000

Full time

47 hours ago
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Benefits offered by this job

Remote work 100%
USD or local currency payments
Hardware provided
Parental leave, vacation & holidays
Multicultural environment
Mentorship & growth opportunities
Collaboration with global Top 1%

Job summary

BairesDev is seeking a Python AI Engineer to build the agent and retrieval layer of an enterprise AI assistant serving thousands of employees. You will own production-grade features in Python, with LangGraph/LangChain flows and some frontend work as needed.

You will join a 100% remote team, collaborating with global Top 1% tech talent. Excellent compensation in USD or local currency, hardware provided, and opportunities for mentorship and growth are highlights of this role.

Qualifications

  • 5+ years of Python development experience; lead-level scope requires 8+ years.
  • Production experience with LLM systems.
  • Hands-on experience with LangChain or LangGraph.
  • Experience with RAG over structured and unstructured sources.
  • Experience with AWS.
  • Advanced proficiency in English.

Responsibilities

  • Build agent and retrieval capabilities for a production AI assistant.
  • Build LangGraph flows and RAG pipelines over structured and unstructured sources.
  • Hold evaluation coverage on the AI behavior you ship.
  • Extend the existing Next.js front end where your features require it.

Skills

Python programming
LLM production systems
LangChain / LangGraph
RAG capabilities
English proficiency

Tools

AWS
React
TypeScript

Job description

BairesDev is seeking a Python AI Engineer to build the agent and retrieval layer of an enterprise AI assistant serving thousands of employees. You will own production-grade features in Python, with LangGraph/LangChain flows and some frontend work as needed.

You will join a 100% remote team, collaborating with global Top 1% tech talent. Excellent compensation in USD or local currency, hardware provided, and opportunities for mentorship and growth are highlights of this role.

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