Senior Agentic AI Engineer

About the Position

We are seeking a Senior Agentic AI Engineer to design, build, and operate autonomous agent systems at scale, driving architecture decisions across runtime, memory, identity, tools, and observability for production-grade AI deployments.

Responsibilities

• Design the architecture for building, deploying, and operating autonomous agents, covering 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, including recon, scanners, exploit primitives, and custom internal services
• Drive reliability, cost, and latency of agent reasoning
• Set the bar for evals, tracing, and guardrails

Requirements

• 3+ years of experience building production software, including 1+ year 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 quickly
• Understanding of MCP, tool use, prompt/context engineering, memory architectures, and agent evaluation
• Capability to design 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

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