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Lead Agentic AI Engineer

EPAM Systems

Nuevo
Senior 🇬🇧 English
Python AWS Bedrock Strands Agents SDK LangGraph Claude Agent SDK OpenAI Agents SDK CrewAI MCP

Descripcion del puesto

About the role

We are seeking a Lead Agentic AI Engineer to own the design, deployment, and operation of scalable autonomous agent systems. You will work at the intersection of AI solution engineering and AI security, shaping production‑grade workflows on AWS Bedrock AgentCore.

Key responsibilities

  • Define architecture for building, deploying, and operating autonomous agents, covering runtime, memory, identity, tools, and observability.
  • Champion adoption of AWS Bedrock AgentCore and the Strands Agents SDK across production deployments.
  • Design durable long‑term memory and context‑management systems for multi‑step engagements.
  • Create and maintain MCP servers and tool integrations such as recon, scanners, exploit primitives, and custom internal services.
  • Optimize agent reasoning reliability, cost, and latency while setting standards for evaluations, tracing, and guardrails.

Required profile

  • 5+ years of production software engineering experience, including 2+ years shipping LLM‑based agents.
  • Hands‑on proficiency in Python and experience with an agentic framework (Strands, LangGraph, Claude Agent SDK, OpenAI Agents SDK, or CrewAI).
  • Solid familiarity with AWS Bedrock AgentCore primitives or ability to ramp up quickly.
  • Deep understanding of MCP, tool use, prompt/context engineering, memory architectures, and agent evaluation.
  • Strong production engineering skills in observability, guardrails, retries, cost control, and security boundaries.
  • English proficiency at B2 level or higher.

Required skills

  • Python
  • AWS Bedrock
  • Strands Agents SDK
  • LangGraph
  • Claude Agent SDK
  • OpenAI Agents SDK
  • CrewAI
  • MCP server development

What we offer

  • International projects with top brands.
  • Work with global, diverse, highly skilled teams.
  • Healthcare benefits and employee financial programs.
  • Paid time off, sick leave, and upskilling opportunities.
  • Unlimited access to LinkedIn Learning library (22,000+ courses).
  • Global career opportunities and volunteer/community involvement.
  • Award‑winning culture recognized by Glassdoor, Newsweek, and LinkedIn.

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Publicado hace 13 horas

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