Senior Autonomous AI Engineer - Production-Scale Agents

EPAM Systems; Argentina; On-site; ARS 68,215,000 - 113,691,000; Full time

Benefits offered by this job

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling, reskilling and certs

Job summary

EPAM Systems seeks a Lead Agentic AI Engineer to architect, deploy, and operate autonomous agent systems at scale for production AI deployments. You will guide decisions around runtime, memory, identity, tools, and observability using AWS Bedrock AgentCore and various agentic frameworks.

Collaborate with engineers to improve reliability, safety, and cost efficiency. Responsibilities include designing end-to-end architecture for agents, leading framework adoption, and building robust MCP servers

Qualifications

• 5+ years of production software experience with 2+ years shipping LLm-based agents to production.
• Proficient in Python and familiar with agent frameworks (Strands, LangGraph, Claude Agent SDK, OpenAI Agents SDK, CrewAI).
• Knowledge of AWS Bedrock AgentCore primitives (Runtime/Memory/Identity/Observability).
• Strong understanding of MCP, tool usage, prompts, and memory architectures.
• Design for production including observability, guardrails, retries, cost control, and security.

Responsibilities

• Design end-to-end architecture for autonomous agents across runtime, memory, identity, tools and observability.
• Lead adoption of AWS Bedrock AgentCore and agent SDKs in production deployments.
• Architect long-term memory and context-management for multi-step engagements.
• Build and curate MCP servers and tool integrations accessed by agents.
• Optimize reliability, cost, and latency of agent reasoning.
• Define standards for evals, tracing, and guardrails.

Skills

Python

Agentic frameworks

English Proficiency (B2+)

Production software

Observability

Memory architectures

Tools

Strands

LangGraph

Claude Agent SDK

OpenAI Agents SDK

CrewAI

AWS Bedrock AgentCore

Job description

EPAM Systems seeks a Lead Agentic AI Engineer to architect, deploy, and operate autonomous agent systems at scale for production AI deployments. You will guide decisions around runtime, memory, identity, tools, and observability using AWS Bedrock AgentCore and various agentic frameworks.

Collaborate with engineers to improve reliability, safety, and cost efficiency. Responsibilities include designing end-to-end architecture for agents, leading framework adoption, and building robust MCP servers