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 Agent

Core 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 Agent

Core 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, Lang

Graph, Claude Agent SDK, OpenAI Agents SDK,



or CrewAIHands-on knowledge of AWS Bedrock Agent

Core 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 general 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 Linked

In Learning library and 22,000+ courses

Global career opportunities

Volunteer and community involvement opportunitiesEPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and Linked

In #J-18808-Ljbffr

📌 Lead Agentic AI Engineer (Argentina)
🏢 EPAM Systems
📍 Argentina