TENEX.AI - Principal AI Engineer

San Jose, California, United States$190k - $250k+ Equity1mo ago

In Office Principal NA Cybersecurity Cloud Computing AI Engineer Principal Rust Java Go Python Vector

Requirements

• 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. • LLM architecture, prompt engineering, and Vector database • Hands-on experience building agents, orchestration frameworks (LangChain/LangGraph, Agno AGI, or custom), and evaluation harnesses. • agents • Deep understanding of microservices architecture, containerization (Docker, Kubernetes), and event-driven systems. • Strong fundamentals in API design (REST/gRPC) and distributed systems. • API design • Clear, concise communication skills and a bias for collaborative problem-solving. • communication • 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. • 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.

Responsibilities

• Design & build the AI layer that powers autonomous detection, RAG-backed investigation, and auto-remediation workflows. • Design & build • Develop and productionize large-scale LLMs, graph-based reasoning engines, and streaming feature pipelines that operate on billions of security events. • Develop and productionize • Own evaluation & reliability—from prompt libraries and fine tuning to red-team testing, latency budgets, and fallback strategies. • Own evaluation & reliability • Mentor & grow a cohort of AI engineers; run design reviews, uphold code quality, and instill a security-first mindset. • Mentor & grow • Partner tightly with Product, Detection Engineering, and Customer Success to translate real-world attacker behavior into robust ML and rule-based detections. • Partner tightly • Push the frontier—experiment with retrieval-augmented generation, tool-calling agents, and multi-modal models (text + logs + graphs) to keep defenders decisively ahead. • Push the frontier

Benefits

• Opportunity to work with cutting-edge AI-driven cybersecurity technologies and Google SecOps solutions. • Collaborate with a talented and innovative team focused on continuously improving security operations. • Competitive salary and benefits package. • A culture of growth and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies. • If you're passionate about combining cybersecurity expertise with artificial intelligence and have experience with Google SecOps and Chronicle, we encourage you to apply! • We practice pay transparency and reward performance. Offers reflect equity, experience, skills, education, and certifications. Base salary for this position in San Jose: $190,000 - $250,000