Principal AI Engineer designing and optimizing AI systems at TENEX for advanced cybersecurity solutions. Mentoring teams and driving technical innovation in a hybrid setup.
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.
Requirements
10+ years of experience in software development
Expertise in software engineering and architecture
Deep knowledge of LLM architecture, prompt engineering, and Vector database workflows
Hands-on experience building agents, orchestration frameworks, and evaluation harnesses
Strong understanding of microservices architecture, containerization (Docker, Kubernetes), and event-driven systems
Strong fundamentals in API design (REST/gRPC) and distributed systems
Passion for cybersecurity and automation.
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.
Benefits
Competitive salary
A culture of growth and development
Opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies.
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