Chief Agentic AI Engineer
We are seeking a Chief Agentic AI Engineer to architect, deliver, and run autonomous agent systems at scale with production-grade reliability. You will shape end-to-end agentic workflows across runtime, memory, identity, tools, and observability while raising the bar for evaluation, tracing, and guardrails.
Responsibilities
- Define architecture for building, deploying, and operating autonomous agents, covering runtime, memory, identity, tools, and observability
- Champion adoption of AWS Bedrock AgentCore and the Strands Agents SDK across agent harnesses and production deployments
- Architect long-term memory and context-management systems that remain effective across multi-step engagements
- Create and maintain MCP servers and tool integrations agents call, including recon, scanners, exploit primitives, and custom internal services
- Optimize reliability, cost, and latency of agent reasoning, and establish standards for evals, tracing, and guardrails
Requirements
- Proven experience building production software, including 7+ years overall and 2+ years shipping LLM-based agents to production
- Expert proficiency in Python with hands-on use of an agentic framework such as Strands, LangGraph, Claude Agent SDK, OpenAI Agents SDK, or CrewAI
- Working knowledge of AWS Bedrock AgentCore primitives, including Runtime, Memory, Identity, Gateway, and Observability, or a demonstrated ability to ramp up quickly
- Deep understanding of MCP, tool use, prompt/context engineering, memory architectures, and agent evaluation
- Strong production design skills spanning observability, guardrails, retries, cost control, and security boundaries
- English proficiency at B2 (Upper-Intermediate) level or higher
Nice to have
- Experience in application security, web pentesting, or red-teaming
- Exposure to sandboxed code execution, browser agents, or autonomous tool orchestration
