Senior Agentic AI Engineer

EPAM Systems, Inc.; México; A distancia; MXN 1.200.000 - 1.300.000; Jornada completa

Descripción de la vacante

EPAM Systems, Inc. is seeking a Senior Agentic AI Engineer to design, build, and operate autonomous agent systems at scale. You will architect runtime, memory, identity, tools, and observability, and lead deployments using AWS Bedrock AgentCore and Strands SDK across multiple agent harnesses.

You will shape long-term memory, MCP servers, and tool integrations, driving reliability, cost, and latency while establishing guardrails and evals for safe agent reasoning.

Formación

• 3+ years of experience building production software.
• 1+ years shipping LLM-based agents to production.
• Proficiency in Python and hands-on experience with an agentic framework.
• Familiarity with AWS Bedrock AgentCore primitives (Runtime, Memory, Identity, Gateway, Observability).
• Understanding of MCP, tool use, prompt/context engineering, memory architectures, and agent evaluation.
• Skills in production design: observability, guardrails, retries, cost control, and security boundaries.

Responsabilidades

• Design the architecture for building, deploying, and operating autonomous agents at scale.
• Lead adoption of AWS Bedrock AgentCore and Strands Agents SDK across deployments.
• Design long-term memory and context-management across multi-step engagements.
• Build MCP servers and tool integrations used by agents (recon, scanners, exploit primitives, internal services).
• Drive reliability, cost, latency, evals, tracing, and guardrails for agent reasoning.

Conocimientos

Python

Agent frameworks

AWS Bedrock

Observability

Memory architecture

Security boundaries

Herramientas

LangGraph

Claude SDK

OpenAI Agents SDK

CrewAI

AgentCore

Descripción del empleo

We are seeking a Senior Agentic AI Engineer to design, build, and operate autonomous agent systems at scale, driving the architecture and reliability of production-grade agentic workflows.ResponsibilitiesDesign the architecture for building, deploying, and operating autonomous agents, including 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, such as recon, scanners, exploit primitives, and custom internal servicesDrive reliability, cost, and latency of agent reasoning, and set the bar for evals, tracing, and guardrailsRequirements3+ years of experience building production software, including 1+ years 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 fastUnderstanding of MCP, tool use, prompt/context engineering, memory architectures, and agent evaluationSkills in designing 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.