TENEX.AI
Senior AI/ML Engineer
San Jose, CA · Hybrid · Senior · Full-time · Posted Jun 8, 2026
- Experience
- 7+ years of software development experience.
- Education
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
About the job
Leads the design and delivery of scalable AI systems for cybersecurity detection, investigation, and automated remediation.
What you'll do
- Architect and deliver complex technical components, including AI systems for autonomous detection, RAG-backed investigation, and auto-remediation.
- Productionize LLMs, graph-based reasoning engines, and streaming feature pipelines; own evaluation, reliability, and fallback strategies.
- Lead cross-functional work and mentor engineers, translating attacker behavior into ML and rule-based detections.
What they ask for
- 7+ years of software development experience building production systems with modern programming languages.
- Deep knowledge of agentic systems design, including centralized and/or decentralized multi-agent architectures.
- Solid understanding of graph structures and graph databases.
- Hands-on experience building agents, orchestration frameworks, and evaluation harnesses; deep understanding of microservices, containerization, event-driven systems, and API design.
Nice to have
- Prior cybersecurity work in SIEM, EDR, SOAR, or MDR.
- Experience with high-growth startups or enterprise SaaS; familiarity with cloud infrastructure security.
Tools
Python, Go, Rust, Java, LangChain/LangGraph, Agno AGI, Docker, Kubernetes
AI focus
Build and productionize AI systems for autonomous cybersecurity detection, RAG-backed investigations, and auto-remediation, including LLMs, multi-agent systems, graph reasoning, evaluation, and multimodal models.
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