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Senior AI/ML Engineer

TENEX.AI· Engineering
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San Jose, CAFull-timePosted 4mo ago

About the role

Senior technical leader and architect responsible for designing, developing, and optimizing scalable, high-performance AI systems for AI-driven cybersecurity solutions. Collaborates across engineering teams to implement advanced AI capabilities and contribute to technical innovation.

Responsibilities

  • Project Execution: Lead and own the architecture and delivery of technical components of complex projects. This means communicating effectively to align on requirements, executing on high-quality code, and collaborating with senior engineers and stakeholders throughout the development lifecycle.
  • AI Layer Engineering: Design & build the AI layer that powers autonomous detection, RAG-backed investigation, and auto-remediation workflows.
  • Productionize Reasoning Engines: Develop and productionize large-scale LLMs, graph-based reasoning engines, and streaming feature pipelines that operate on billions of security events.
  • Evaluation & Reliability: Own evaluation & reliability—from prompt libraries and fine-tuning to red-team testing, latency budgets, and fallback strategies.
  • Cross-Functional Collaboration: Lead cross-functional initiatives, partnering 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.
  • Mentorship: Provide technical mentorship to junior engineers, foster engineering best practices, and contribute to architectural design reviews.

Qualifications

  • 7+ years of experience in software development, engineering production systems using modern programming languages (Python, Go, Rust, or Java).
  • Deep knowledge of agentic systems design, such as Centralized and/or Decentralized MAS (Multi-Agent Systems) architectures.
  • Solid understanding of Graph structures and specifically graph databases.
  • 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.

Skills

Required:PythonGoGraph databasesAgentic systemsLLMs
Nice to have:RustJavaLangChain/LangGraph

Benefits

  • Competitive salary and benefits package
  • Culture of growth and development in AI, cybersecurity, and emerging technologies
  • Opportunity to work with cutting-edge AI-driven cybersecurity technologies and Google SecOps solutions
  • Collaborate with a talented and innovative team
Last updated Sep 24, 2026. Interested? Apply on the company site.

About TENEX.AI

10x Your Cyber Security With Ai

With a focus on precision and scalability, TENEX delivers comprehensive cyber security solutions that evolve with your organization.

cyber securityAI-drivenAutomationManaged Detection and ResponseThreat ManagementIncident ResponseSecurity Automation
Company profileWebsite

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