Senior Agentic AI Engineer

EPAM Systems; Chile; On-site; CLP 2,500,000 - 4,000,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Learning and certifications

Global career opportunities

Employee discounts

Job summary

EPAM Systems is seeking a Senior Agentic AI Engineer to architect, build, and run autonomous agent systems at scale. You will drive runtime, memory, identity, tools, and observability decisions for production AI environments.

Responsibilities include adopting AWS Bedrock AgentCore and Strands SDK, creating memory/context systems, and delivering MCP servers with integrations for tooling and security. English B2+ required.

Qualifications

• 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

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

Skills

Python

LLM Agents Deployment

Observability

Cost optimization

Security boundaries

English B2

Tools

Strands

LangGraph

Claude Agent SDK

OpenAI Agents SDK

CrewAI

AWS Bedrock AgentCore

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 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

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.