AI/ML Engineer II

As an AI/ML II Engineer at TENEX, you will be a key technical contributor responsible for designing, developing, and optimizing scalable, high-performance AI systems. You will play a crucial role in implementing our AI-driven cybersecurity solutions while collaborating across engineering teams and contributing to technical innovation. Location: This role will require Monday - Thursday onsite in any of our locations. WFH Friday. Job 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. Required Skills & Qualifications Software Engineering & Architecture Expertise 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. Soft Skills 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. Nice-to-have Domain Background: Prior work in cybersecurity (SIEM, EDR, SOAR, or MDR). Startup Mentality: Background driving high-impact engineering initiatives in high-growth startups or enterprise SaaS. Cloud Infrastructure: Familiarity with cloud infrastructure security (AWS, GCP, or Azure). Education & Certifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Relevant certifications (AWS/GCP Professional Engineer, Kubernetes, or security-related credentials) are a plus. Why Join Us? Opportunity to work with cutting-edge AI-driven cybersecurity technologies and Google SecOps solutions. Collaborate with a talented and innovative team focused on continuously improving security operations. Competitive salary and benefits package. A culture of growth and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies. #J-18808-Ljbffr TenEx