Senior Agentic AI Engineer

EPAM Systems; Colombia; Remote; COP 120,000,000 - 180,000,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Job summary

EPAM Systems is seeking a Senior Agentic AI Engineer to design, build, and operate autonomous agent systems at scale for production deployments. You will drive architecture decisions across runtime, memory, identity, tools, and observability, leading the use of AWS Bedrock AgentCore and Strands SDK across agent harnesses.

You will design memory management, MCP servers, and tool integrations, aiming to optimize reliability, cost, and latency while enforcing guardrails and robust evaluation

Qualifications

• 3+ years building production software.
• 1+ year shipping LLM-based agents to production.
• Proficient in Python and agent frameworks.
• Knowledge of production observability, guardrails, and security boundaries.
• English proficiency at B2+ level.

Responsibilities

• Design the architecture for autonomous agents across runtime, memory, identity, tools and observability.
• Lead use of AWS Bedrock AgentCore and the Strands Agents SDK in deployments.
• Develop long-term memory and context-management systems for multi-step engagements.
• Build MCP servers and tool integrations for agent calls (recon, scanners, primitives, internal services).
• Improve reliability, cost and latency of agent reasoning and establish evals, tracing and guardrails.

Skills

Python

Agent frameworks

LLM agents

Observability

Security boundaries

Tools

Strands

LangGraph

Claude Agent SDK

OpenAI Agents SDK

CrewAI

Job description

We are seeking a Senior Agentic AI Engineer to design, build, and operate autonomous agent systems at scale, driving architecture decisions across runtime, memory, identity, tools, and observability for production-grade AI deployments.ResponsibilitiesDesign the architecture for building, deploying, and operating autonomous agents, covering runtime, memory, identity, tools, and observabilityLead the use of AWS Bedrock AgentCore and the Strands Agents SDK across agent harnesses and production deploymentsDesign long-term memory and context-management systems that hold up across multi-step engagementsBuild and curate MCP servers and tool integrations the agents call out to, including recon, scanners, exploit primitives, and custom internal servicesDrive reliability, cost, and latency of agent reasoningSet the bar for evals, tracing, and guardrailsRequirements3+ years of experience building production software, including 1+ year shipping LLM-based agents to productionProficiency in Python and hands-on experience with an agentic framework such as Strands, LangGraph, Claude Agent SDK, OpenAI Agents SDK, or CrewAIFamiliarity with AWS Bedrock AgentCore primitives, including Runtime, Memory, Identity, Gateway, and Observability, or proven ability to ramp up quicklyUnderstanding of MCP, tool use, prompt/context engineering, memory architectures, and agent evaluationCapability to design for production, including observability, guardrails, retries, cost control, and security boundariesEnglish proficiency at B2 level or higherNice to haveBackground in application security, web pentesting, or red-teamingExperience with sandboxed code execution, browser agents, or autonomous tool orchestrationWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM 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.