Principal AI Engineer

10+ years of experience in software development, engineering production systems using modern programming languages (Python, Go, Rust, or Java). Deep knowledge of LLM architecture, prompt engineering, and Vector database workflows. Hands-on experience building agents, orchestration frameworks (LangChain/LangGraph, Agno AGI, or custom), and evaluation harnesses. Deep understanding of microservices architecture, containerization (Docker, Kubernetes), and event-driven systems. Strong fundamentals in API design (REST/gRPC) and distributed systems. Clear, concise communication skills and a bias for collaborative problem-solving.

Design & build the AI layer for autonomous detection, RAG-backed investigation, and auto-remediation workflows. Develop and productionize large-scale LLMs, graph-based reasoning engines, and streaming feature pipelines. Own evaluation & reliability, including prompt libraries, fine-tuning, red-team testing, and fallback strategies. Mentor and grow AI engineers, run design reviews, uphold code quality, and instill a security-first mindset. Partner with Product, Detection Engineering, and Customer Success to translate attacker behavior into detections. Experiment with retrieval-augmented generation, tool-calling agents, and multi-modal models.