Agentic Workflow Engineer

About the role

We're building an AI program for our cybersecurity organization to accelerate automation and decision support across the entire security function. The candidate will design and build agentic workflows (LLM-based systems, RAG, tool-using agents, multi-step reasoning) and integrate them with internal cybersecurity tools via APIs or Model Context Protocol. The candidate will also own the workflow end-to-end while partnering with cybersecurity teams on domain-specific aspects.

Responsibilities

• Design and build agentic workflows (LLM-based systems, RAG, tool-using agents, multi-step reasoning)
• Integrate agentic workflows with internal cybersecurity tools via APIs or Model Context Protocol
• Own the workflow end-to-end while partnering with cybersecurity teams on domain-specific aspects

Requirements

• Strong Python (production-quality code, testing, packaging, APIs)
• Experience building agentic systems: agents, workflows, orchestration, tool use, RAG (frameworks like LangChain, LangGraph, CrewAI, or equivalent)
• Cybersecurity domain knowledge – you are able to collaborate effectively with practitioners across threat hunting, incident response, vulnerability management, IAM, compliance, and related disciplines
• AWS experience; familiarity with Bedrock or similar platforms
• Can operate in regulated enterprise environments where auditability and governance matter

Nice to have

• Security platform integrations (SIEM/SOAR/EDR, ticketing, APIs)
• LLM evaluation and testing experience
• Model Context Protocol
• Secure systems experience (secrets management, logging, threat modeling)
• Scaling prototypes to production