AI Agent Engineer

Develop and scale AI systems to automate investigative tasks.

• •Build and scale agentic AI systems and LLM infrastructure to automate investigative tasks and support analysts in high-sensitivity environments.
• •Key Responsibilities Architect and implement an agentic framework with tool use, retrieval, memory, and planning.
• •Build modular agents to automate investigative workflows and augment analyst decision-making.
• •Extend and scale LLM infrastructure (OpenAI, Anthropic, local models), including RAG and evaluation loops.
• •Design safe, observable, and auditable agent behaviors for reliability and governance.
• •Evaluate performance (reasoning, latency, hallucination) and iterate using telemetry and user feedback.
• •Requirements Strong engineering background with backend/systems experience (Python preferred).
• •Hands-on experience with LLMs, agents, and tooling frameworks (LangChain, vector DBs, semantic caches).
• •Experience optimizing agentic pipelines and information flow into AI systems.
• •Thoughtful system design with attention to safety, scalability, and explainability.