Lead GenAI & Agentic Developer for End-to-End AI

EPAM Systems, Inc.

Colombia

A distancia

COP 180.000.000 - 300.000.000

Jornada completa

Hace 3 días
Sé de los primeros/as/es en solicitar esta vacante
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Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits
Paid time off
Upskilling programs
Global career opportunities

Descripción de la vacante

EPAM Systems, Inc. seeks a Lead AI Agentic Developer to spearhead AI-powered engineering initiatives, delivering GenAI and RAG solutions across Python/FastAPI, React/TypeScript, and Google Cloud Vertex AI.

You will architect end-to-end GenAI systems, implement LLM orchestration, observability, and cost controls, while mentoring teammates and ensuring architectural alignment with non-functional requirements.

Formación

  • 5+ years of software development experience with hands-on GenAI and agentic development.
  • Experience with AI coding assistants (Claude Code, Copilot) and LLM orchestration.
  • Strong understanding of prompt-engineering, RAG, multi-agent systems, and structured outputs.

Responsabilidades

  • Design, build, deploy, and support AI-powered apps using Python/FastAPI, React/TypeScript and Vertex AI.
  • Own GenAI systems end-to-end including architecture, delivery, production support, and cost optimization.
  • Implement LLM orchestration, prompt engineering, RAG, multi-agent workflows, and structured-output generation.
  • Create and maintain observability pipelines for AI platforms, including tracing, token usage, cost monitoring, and quality metrics.
  • Provide technical leadership and mentorship in agentic practices and AI-tool integration.

Conocimientos

Python
FastAPI
React
TypeScript
Observability
LangFuse
LangSmith
Docker
Kubernetes
Vertex AI

Educación

Bachelor's degree in CS or related field

Herramientas

GitHub Actions
ArgoCD
BigQuery
Vertex AI
Grafana
Dynatrace
Splunk

Descripción del empleo

EPAM Systems, Inc. seeks a Lead AI Agentic Developer to spearhead AI-powered engineering initiatives, delivering GenAI and RAG solutions across Python/FastAPI, React/TypeScript, and Google Cloud Vertex AI.

You will architect end-to-end GenAI systems, implement LLM orchestration, observability, and cost controls, while mentoring teammates and ensuring architectural alignment with non-functional requirements.

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