Senior Agentic AI Engineer

EPAM Systems; Argentina; Hybrid; ARS 2,200,000 - 4,200,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling and certification courses

LinkedIn Learning access

Global career opportunities

Volunteer and community involvement

Job summary

EPAM Systems in Argentina seeks a Senior Agentic AI Engineer to architect, build, and run autonomous agent systems at scale. You will make key architectural decisions spanning runtime, memory, identity, tools, and observability for production AI systems.

Responsibilities include leading adoption of AWS Bedrock AgentCore and Strands SDK, creating memory-management systems, and building MCP servers and tool integrations that agents rely on. Strong Python and English at B2 level are required.

Qualifications

• 3+ years building production software with at least 1 year deploying LLM-based agents.
• Strong Python skills and hands-on experience with agentic frameworks.
• Knowledge of AWS Bedrock AgentCore components or ability to learn quickly.
• Solid grasp of MCP, tool use, prompt/context engineering, memory architectures, and evaluation methods.

Responsibilities

• Architect systems for building, deploying, and running autonomous agents across runtime, memory, identity, tools, and observability.
• Lead adoption of AWS Bedrock AgentCore and Strands SDK for production rollouts.
• Create long-term memory and context-management systems for multi-step engagements.
• Develop MCP servers and tool integrations used by agents (recon tools, scanners, exploits, internal services).
• Improve reliability, cost-efficiency, and speed of agent reasoning.
• Establish standards for evaluations, tracing, and guardrails.

Skills

Python

Agent frameworks

AWS Bedrock

Memory architectures

Observability

Tools

Strands

LangGraph

Claude Agent SDK

OpenAI Agents SDK

CrewAI

Job description

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 coursesUnlimited 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