AI/ML Engineer

San Jose, CA, Remote. Posted 5 months ago

The role

You will design, develop, and optimize scalable AI systems. You will shape the architecture of AI-driven cybersecurity solutions and collaborate across engineering teams.

What you will do

Drive and land large abstract projects from start to finish.
Design and build the AI layer for autonomous detection, RAG-backed investigation, and auto-remediation workflows.
Develop and productionize large-scale LLMs, graph-based reasoning engines, and streaming feature pipelines.
Own evaluation and reliability including prompt libraries, fine-tuning, red-team testing, latency budgets, and fallback strategies.
Partner with Product, Detection Engineering, and Customer Success to translate attacker behavior into detections.
Experiment with retrieval-augmented generation, tool-calling agents, and multi-modal models.

Required qualifications

1 - 3+ years of experience in software development, engineering production systems using Python, Go, Rust, or Java.
Deep knowledge of agentic systems design, such as Centralized and/or Decentralized MAS architectures.
Solid understanding of Graph structures and 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.
Clear, concise communication skills and a bias for collaborative problem-solving.
Proven track record of gathering consensus and guiding multi-stakeholder initiatives.
Strong problem-solving and analytical skills.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Nice to have

Prior work in cybersecurity (SIEM, EDR, SOAR, or MDR).
Background driving high-impact engineering initiatives in high-growth startups or enterprise SaaS.
Familiarity with cloud infrastructure security (AWS, GCP, or Azure).
AWS/GCP Professional Engineer, Kubernetes, or security-related credentials

Benefits

Competitive salary and benefits package.
Opportunity to work with cutting-edge AI-driven cybersecurity technologies and Google SecOps solutions.
Collaborate with a talented and innovative team.
A culture of growth and development.

About the company

TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. It is a fast-growing startup backed by industry experts and top-tier investors.