TENEX.AI
AI/ML Engineer
San Jose, CA · Hybrid · Full-time · Posted Jun 8, 2026
- Experience
- 1–3+ years of software development experience.
- Education
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
About the job
Designs and productionizes AI systems for autonomous cybersecurity detection, investigation, and remediation.
What you'll do
- Build AI systems for autonomous detection, RAG-backed investigation, and auto-remediation.
- Productionize LLMs, graph-based reasoning engines, and streaming feature pipelines for security events.
- Own AI evaluation and reliability, and collaborate across teams to develop detections based on attacker behavior.
What they ask for
- 1–3+ years of software development experience building production systems with Python, Go, Rust, or Java.
- Deep knowledge of agentic systems and 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 (REST/gRPC).
Nice to have
- Cybersecurity experience in SIEM, EDR, SOAR, or MDR; or experience driving initiatives in high-growth startups or enterprise SaaS.
- Familiarity with AWS, GCP, or Azure cloud infrastructure security.
Tools
Python, Go, Rust, Java, LangChain/LangGraph, Agno AGI, Docker, Kubernetes
AI focus
Build autonomous detection, RAG-backed investigation, and auto-remediation; productionize LLMs and graph-based reasoning; evaluate and improve AI reliability; experiment with retrieval-augmented generation, tool-calling agents, and multimodal models.
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