Live opening · Posted 3 days ago

Senior Agentic AI Engineer

EPAM Systems · Argentina (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 3 days ago
CompanyEPAM Systems
LocationArgentina (Remote)
Work modeYes
SkillsPython, AWS
SourceLinkedin
ListedPosted 3 days ago

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About the role

Description supplied by the original job listing.

We're looking for a Senior Agentic AI Engineer to architect, build, and run autonomous agent systems at scale, making key architectural decisions spanning runtime, memory, identity, tools, and observability for production AI systems.
Responsibilities
Architect systems for building, deploying, and running autonomous agents, spanning runtime, memory, identity, tools, and observability
Spearhead adoption of AWS Bedrock AgentCore and the Strands Agents SDK for agent harnesses and production rollouts
Create long-term memory and context-management systems capable of sustaining multi-step engagements
Develop and maintain MCP servers and tool integrations that agents rely on, such as recon tools, scanners, exploit primitives, and internal custom services
Improve the reliability, cost-efficiency, and speed of agent reasoning
Establish standards for evaluations, tracing, and guardrails
Requirements
3+ years building production software, with at least 1 year deploying LLM-based agents into production
Strong Python skills and hands-on experience with agentic frameworks like Strands, LangGraph, Claude Agent SDK, OpenAI Agents SDK, or CrewAI
Knowledge of AWS Bedrock AgentCore components—Runtime, Memory, Identity, Gateway, and Observability—or the ability to learn them quickly
Solid grasp of MCP, tool use, prompt/context engineering, memory architectures, and agent evaluation methods
Skill in designing production-ready systems, including observability, guardrails, retry logic, cost management, and security boundaries
English proficiency at B2 level or higher
Nice to have
Experience in application security, web pentesting, or red-teaming
Background 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

Work arrangement
Yes

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