← All roles

AI/ML Engineer II

TENEX.AI· Engineering
Apply on company site
San Jose, CA, Sarasota, FL HQ, Kansas City MetroFull-timePosted 4mo ago

About the role

Key technical contributor responsible for designing, developing, and optimizing scalable, high-performance AI systems to power AI-driven cybersecurity solutions; collaborate across engineering teams and contribute to technical innovation.

Responsibilities

  • Project Execution: Ability to drive and deliver 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: 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: 3-5 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.

Skills

Required:Python, Go, Rust, or JavaMulti-Agent SystemsGraph databases and graph architecturesLangChain/LangGraph or similar orchestration frameworksDistributed systems & microservicesAPI design (REST/gRPC)

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
Last updated Jul 16, 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

More open roles at TENEX.AI