Principal AI Platform Architect - Remote

BairesDev

México

Remote

MXN 3,305,000 - 4,407,000

Full time

9 hours ago
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Benefits offered by this job

100% remote
Competitive USD pay
Equipment provided
Flexible hours
Paid parental leave
Global team

Job summary

BairesDev is seeking a Principal AI Engineer to lead the technical direction and architecture of an enterprise AI assistant used by thousands. You will stay hands-on, defining orchestration, data retrieval, and evaluation strategies while guiding distributed teams and hiring decisions.

You will own end-to-end delivery of an agentic platform, leveraging LangChain/LangGraph, integrating with AWS services, and shaping how enterprise AI scales across business functions.

Qualifications

  • 8+ years of Python development experience.
  • Proven ownership of an agentic or LLM platform end to end in production.
  • Deep expertise with LangChain and LangGraph, including multi-agent orchestration.
  • Strong LLM evaluation strategy experience, including offline evals and golden datasets.
  • Experience with Retrieval-Augmented Generation over structured and unstructured data.
  • Experience with React and TypeScript.
  • Experience with model gateways and routing (Bedrock/LiteLLM).
  • Experience with CI/CD and observability for AI services.

Responsibilities

  • Set technical direction and own architecture for an enterprise-scale AI platform.
  • Design multi-agent orchestration and routing across specialized agents.
  • Own retrieval strategy across data sources, structured and unstructured.
  • Build and evolve evaluation harness to validate AI system behavior.
  • Mentor distributed engineering teams and guide technical hiring decisions.

Skills

Python
LangChain
LangGraph
LLM evaluation
AI platforms
AWS
REST/GraphQL
Distributed systems
CI/CD
Observability
Multi-agent orchestration
React
TypeScript

Tools

LangChain
LangGraph
Bedrock
LiteLLM
LangSmith
WebSockets

Job description

BairesDev is seeking a Principal AI Engineer to lead the technical direction and architecture of an enterprise AI assistant used by thousands. You will stay hands-on, defining orchestration, data retrieval, and evaluation strategies while guiding distributed teams and hiring decisions.

You will own end-to-end delivery of an agentic platform, leveraging LangChain/LangGraph, integrating with AWS services, and shaping how enterprise AI scales across business functions.

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