Senior Agentic AI Engineer
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.
Responsibilities
- 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
Requirements
- 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
Nice to have
- Background in application security, web pentesting, or red-teaming
- Experience with sandboxed code execution, browser agents, or autonomous tool orchestration
