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.
Design the architecture for building, deploying, and operating autonomous agents, including runtime, memory, identity, tools, and observability Lead the use of AWS Bedrock AgentCore and the Strands Agents SDK across agent harnesses and production deployments Design long-term memory and context-management systems that hold up across multi-step engagements Build and curate MCP servers and tool integrations the agents call out to, such as recon, scanners, exploit primitives, and custom internal services Drive reliability, cost, and latency of agent reasoning, and set the bar for evals, tracing, and guardrails 3+ years of experience building production software,



including 1+ years shipping LLM-based agents to production Proficiency in Python and hands-on experience with an agentic framework such as Strands, LangGraph, Claude Agent SDK, OpenAI Agents SDK, or CrewAI Familiarity with AWS Bedrock AgentCore primitives, including Runtime, Memory, Identity, Gateway, and Observability, or proven ability to ramp up fast Understanding of MCP, tool use, prompt/context engineering, memory architectures, and agent evaluation Skills in designing for production, including observability, guardrails, retries, cost control, and security boundaries English proficiency at B2 level or higher Background in application security, web pentesting, or red-teaming Experience with sandboxed code execution, browser agents, or autonomous tool orchestration

📌 Senior Agentic Ai Engineer (México)
🏢 Epam Systems
📍 México