Senior AI/ML Engineer

TENEX.AI

Senior AI/ML Engineer developing and optimizing scalable AI systems for cybersecurity at TENEX. Leading technical architecture, fostering collaboration, and providing mentorship in a dynamic environment.

Posted 6/8/2026full-timeRemote • California • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityDistributed SystemsDockerGoGoogle Cloud PlatformGRPCJavaKubernetesMicroservicesPythonRust

About the role

Key responsibilities & impact

Lead and own the architecture and delivery of technical components of complex projects.
Design & build the AI layer that powers autonomous detection, RAG-backed investigation, and auto-remediation workflows.
Develop and productionize large-scale LLMs, graph-based reasoning engines, and streaming feature pipelines that operate on billions of security events.
Own evaluation & reliability—from prompt libraries and fine-tuning to red-team testing, latency budgets, and fallback strategies.
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.
Experiment with retrieval-augmented generation, tool-calling agents, and multi-modal models (text + logs + graphs) to keep defenders decisively ahead.
Provide technical mentorship to junior engineers, foster engineering best practices, and contribute to architectural design reviews.

Requirements

What you’ll need

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.
Clear, concise communication skills and a bias for collaborative problem-solving.
Proven track record of gathering consensus and guiding multi-stakeholder initiatives through uncertain boundaries.
Strong problem-solving and analytical skills.
Prior work in cybersecurity (SIEM, EDR, SOAR, or MDR) is a nice-to-have.
Background driving high-impact engineering initiatives in high-growth startups or enterprise SaaS is a nice-to-have.
Familiarity with cloud infrastructure security (AWS, GCP, or Azure) is a nice-to-have.
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.

Benefits

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonGoRustJavaagentic systems designgraph databasesorchestration frameworksmicroservices architecturecontainerizationAPI design

Soft Skills

communication skillscollaborative problem-solvingproblem-solving skillsanalytical skillsmentorshipconsensus buildingguiding multi-stakeholder initiatives

Certifications

AWS Professional EngineerGCP Professional EngineerKubernetessecurity-related credentials