GenAI Production Architect & Lead Engineer

EPAM Systems

México

Remote

MXN 1,000,000 - 1,600,000

Full time

14 days+

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Job summary

EPAM Systems, Inc. in Mexico is seeking a Senior GenAI Engineering Lead to design, build, and scale enterprise GenAI platforms and AI-powered products. You will mentor engineers, drive best practices, and own technical direction across LATAM teams.

You will collaborate with data, cloud, and product teams to optimize latency, cost, and reliability while integrating OpenAI, Claude, Gemini, Llama, LangGraph, and LangChain. Fluency in English (B2+) and a passion for continuous learning are essential.

Qualifications

  • 5+ years in software engineering with GenAI focus.
  • Proficient in Python, APIs, and microservices architectures.
  • Experience with cloud-native distributed systems and CI/CD.
  • Hands-on with LLMs/GenAI, prompt engineering, and RAG.
  • Strong mentoring, collaboration, and ownership mindset; English B2+.

Responsibilities

  • Design and implement enterprise GenAI applications.
  • Develop AI agents and multi-agent systems.
  • Integrate LLMs into enterprise ecosystems.
  • Ensure secure, scalable production AI solutions.
  • Lead architecture decisions and engineering best practices.
  • Mentor engineers and promote AI-assisted practices.

Skills

Python
APIs & Microservices
Cloud-native
CI/CD / DevOps
GenAI / LLMs
RAG architectures
Vector databases
LangChain / LangGraph
Multi-cloud
Mentoring

Tools

OpenAI
Claude
Gemini
Llama
LangGraph
LangChain
Azure
AWS
GCP

Job description

EPAM Systems, Inc. in Mexico is seeking a Senior GenAI Engineering Lead to design, build, and scale enterprise GenAI platforms and AI-powered products. You will mentor engineers, drive best practices, and own technical direction across LATAM teams.

You will collaborate with data, cloud, and product teams to optimize latency, cost, and reliability while integrating OpenAI, Claude, Gemini, Llama, LangGraph, and LangChain. Fluency in English (B2+) and a passion for continuous learning are essential.

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