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Senior Agentic AI Engineer

EPAM·Salary not specified

Primary stack

Anthropic ClaudePythonAI

Nice to have's

Background in application securityweb pentestingred-teamingExperience with sandboxed code executionbrowser agentsautonomous tool orchestration

Job description

About the Position

We are seeking a Senior Agentic AI Engineer to design, build, and operate autonomous agent systems at scale, driving the architecture and reliability of production-grade agentic workflows.

Responsibilities

  • Design the architecture for building, deploying, and operating autonomous agents, including runtime, memory, identity, tools, and observability
  • Lead the use of AWS Bedrock AgentCore and the Strands Agents SDK across agent harnesses and production deployments
  • Design long-term memory and context-management systems that hold up across multi-step engagements
  • Build and curate MCP servers and tool integrations the agents call out to, such as recon, scanners, exploit primitives, and custom internal services
  • Drive reliability, cost, and latency of agent reasoning, and set the bar for evals, tracing, and guardrails

Requirements

  • 3+ years of experience building production software, including 1+ years shipping LLM-based agents to production
  • Proficiency in Python and hands-on experience with an agentic framework such as Strands, LangGraph, Claude Agent SDK, OpenAI Agents SDK, or CrewAI
  • Familiarity with AWS Bedrock AgentCore primitives, including Runtime, Memory, Identity, Gateway, and Observability, or proven ability to ramp up fast
  • Understanding of MCP, tool use, prompt/context engineering, memory architectures, and agent evaluation
  • Skills in designing for production, including observability, guardrails, retries, cost control, and security boundaries
  • English proficiency at B2 level or higher

Nice to Have

  • Background in application security, web pentesting, or red-teaming
  • Experience with sandboxed code execution, browser agents, or autonomous tool orchestration

Skills

  • AI Solution Engineering
  • AI Security
  • Amazon Bedrock AgentCore
  • Anthropic Claude
  • Model Context Protocol
  • Python
  • Application Security
  • Red Teaming

What we offer

  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling, and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek, and LinkedIn

Locations

  • Mexico
  • Brazil
  • Argentina
  • Chile
  • Colombia

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