Principal AI Engineer
TENEX.AI · Overland Park, KS · 2 wk ago
HybridEngineeringFull-time
Job Responsibilities
- Design & build the AI layer that powers autonomous detection, RAG-backed investigation, and auto-remediation workflows.
- Develop and productionize large-scale LLMs, graph-based reasoning engines, and streaming feature pipelines that operate on billions of security events.
- Evaluate & reliability—from prompt libraries and fine tuning to red-team testing, latency budgets, and fallback strategies.
- Mentor & grow a cohort of AI engineers; run design reviews, uphold code quality, and instill a security-first mindset.
- Partner tightly with Product, Detection Engineering, and Customer Success to translate real-world attacker behavior into robust ML and rule-based detections.
- Experiment with retrieval-augmented generation, tool-calling agents, and multi-modal models (text + logs + graphs) to keep defenders decisively ahead.
Required Skills & Qualifications
- Software Engineering & Architecture Expertise: 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.
Nice-to-have
- Prior work in cybersecurity (SIEM, EDR, SOAR, or MDR).
- Experience with graph databases or security-focused knowledge graphs.
- Familiarity with cloud infrastructure security (AWS, GCP, or Azure).
- Background leading teams in high-growth startups or enterprise SaaS.
Soft Skills
- Strong problem-solving and analytical skills.
- Excellent communication and leadership abilities.
- Ability to mentor and influence engineering teams.
- Passion for cybersecurity and automation.
Education & Certifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Relevant certifications (AWS/GCP Professional Engineer, Kubernetes, or security-related credentials) are a plus.