Note: The job is a remote job and is open to candidates in USA. TENEX.AI is an AI-native, automation-first Managed Detection and Response provider. As a Principal AI Engineer, you will design, develop, and optimize scalable AI systems while mentoring engineering teams and driving technical innovation.

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
• Own evaluation & 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
• Push the frontier—experiment with retrieval-augmented generation, tool-calling agents, and multi-modal models (text + logs + graphs) to keep defenders decisively ahead

Skills

• 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
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 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
• Relevant certifications (AWS/GCP Professional Engineer, Kubernetes, or security-related credentials) are a plus

Benefits

• Competitive salary and benefits package.
• A culture of growth and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies.

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