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AI/ML Engineer

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

About the role

AI/ML Engineer at TENEX responsible for designing, developing, and optimizing scalable, high-performance AI systems for AI-driven cybersecurity solutions, collaborating across engineering teams and driving technical innovation.

Responsibilities

  • Project Execution: Ability to drive and land large abstract projects from start to finish. This means communicating effectively to gather consensus, efficient delegation, and bringing multiple stakeholders on the journey.
  • 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: 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.

Qualifications

  • Core Engineering: 1 - 3+ years of experience in software development, engineering production systems using modern programming languages (Python, Go, Rust, or Java).
  • Agentic Systems: Deep knowledge of agentic systems design, such as Centralized and/or Decentralized MAS (Multi-Agent Systems) architectures.
  • Graph Architectures: Solid understanding of Graph structures and specifically graph databases.
  • Orchestration Frameworks: Hands-on experience building agents, orchestration frameworks (LangChain/LangGraph, Agno AGI, or custom), and evaluation harnesses.
  • Distributed Systems: Deep understanding of microservices architecture, containerization (Docker, Kubernetes), and event-driven systems.
  • APIs: Strong fundamentals in API design (REST/gRPC) and distributed systems.
  • Communication: Clear, concise communication skills and a bias for collaborative problem-solving.
  • Leadership Alignment: Proven track record of gathering consensus and guiding multi-stakeholder initiatives through uncertain boundaries.
  • Analytical Rigor: Strong problem-solving and analytical skills.

Skills

Required:Software developmentAgentic systems designGraph databasesOrchestration frameworksDistributed systemsAPIs (REST/gRPC)Communication
Nice to have:Leadership & consensus-building

Benefits

  • Competitive salary and benefits package
  • Culture of growth and development in AI, cybersecurity, and emerging technologies
Last updated Oct 22, 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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