Lead Agentic AI Engineer

EPAM Systems; Argentina; On-site; ARS 90,953,000 - 166,748,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Training and certifications

Global career opportunities

Volunteer opportunities

Job summary

EPAM Systems is seeking a Lead Agentic AI Engineer to design, build, and operate scalable autonomous agent systems for production AI deployments. You will drive decisions across runtime, memory, identity, tools, and observability, while leading adoption of AWS Bedrock AgentCore and related SDKs.

You will architect end-to-end systems, lead SDK implementations, and design memory-management capabilities to support sustained multi-step engagements.

Qualifications

• 5+ years building production software.
• 2+ years deploying LLM-based agents to production.
• Proficient in Python and agentic frameworks.
• Experience with AWS Bedrock AgentCore components.
• Strong understanding of observability, memory management, and security boundaries.

Responsibilities

• Architect end-to-end autonomous agent systems for production use.
• Lead adoption of AWS Bedrock AgentCore and related SDKs.
• Design long-term memory and context management for multi-step engagements.
• Build and maintain MCP servers and agent tool integrations.
• Optimize agent reasoning for reliability and cost-efficiency.
• Define standards for evaluations, tracing, and guardrails.

Skills

Python

Agent frameworks

LLM agents

Observability

Memory architectures

Prompt engineering

Security boundaries

Tools

Strands

LangGraph

Claude Agent SDK

OpenAI Agents SDK

CrewAI

AWS Bedrock AgentCore

Job description

We are seeking a Lead Agentic AI Engineer to design, build, and operate scalable autonomous agent systems for production AI deployments. You will drive key decisions across runtime, memory, identity, tools, and observability while leading adoption of Amazon Bedrock AgentCore and related SDKs.

Responsibilities

• Architect end-to-end systems to build, deploy, and run autonomous agents across runtime, memory, identity, tools, and observability
• Lead adoption of AWS Bedrock AgentCore and the Strands Agents SDK to power agent harnesses and production releases
• Design long-term memory and context-management capabilities that support sustained multi-step engagements
• Build and maintain MCP servers and agent tool integrations such as recon tools, scanners, exploit primitives, and internal custom services
• Optimize agent reasoning for higher reliability, improved cost-efficiency, and faster execution
• Define standards for evaluations, tracing, and guardrails

Requirements

• Proven track record with 5+ years building production software, including 2+ year deploying LLM-based agents to production
• Expert Python skills and hands-on experience with agentic frameworks like Strands, LangGraph, Claude Agent SDK, OpenAI Agents SDK, or CrewAI
• Hands-on knowledge of AWS Bedrock AgentCore components - Runtime, Memory, Identity, Gateway, and Observability or the ability to ramp up quickly
• Solid background in MCP, tool use, prompt/context engineering, memory architectures, and agent evaluation methods
• Deep understanding of production-grade design, including observability, guardrails, retry logic, cost management, and security boundaries
• English proficiency at B2 (Upper-Intermediate) level or higher

Nice to have

• Experience with application security, web pentesting, or red-teaming
• Familiarity 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