AI/ML Engineer - Cybersecurity AI, Onsite M-Thu

TENEX.AI; San Jose (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

TENEX.AI is seeking an AI/ML Engineer to design, develop, and optimize scalable AI systems for AI-native cybersecurity solutions. You will shape architecture and collaborate across engineering teams to drive technical innovation.

Location requires Monday-Thursday onsite in multiple locations with Friday WFH; 1–3+ years experience, proficiency in Python/Go/Rust/Java; familiarity with distributed systems, Docker, Kubernetes, and graph databases; Bachelor's or Master’s degree.

Qualifications

• 1–3+ years in software development and production systems.
• Experience with microservices and containerization.
• Strong knowledge of graph databases and ML workflow design.

Responsibilities

• Drive large AI projects end-to-end with cross-functional teams.
• Design AI layer powering autonomous detection and remediation workflows.
• Build and productionize large-scale LLMs and graph-based reasoning engines.
• Collaborate with Product, Detection Engineering, and Customer Success.

Skills

Python

Go

Rust

Java

Agentic Systems design

Graph architectures

APIs (REST/gRPC)

Distributed systems

Communication

Education

Bachelor’s or Master’s degree in CS/Engineering

Tools

LangChain

LangGraph

Agno AGI

Docker

Kubernetes

Job description

TENEX.AI is seeking an AI/ML Engineer to design, develop, and optimize scalable AI systems for AI-native cybersecurity solutions. You will shape architecture and collaborate across engineering teams to drive technical innovation.

Location requires Monday-Thursday onsite in multiple locations with Friday WFH; 1–3+ years experience, proficiency in Python/Go/Rust/Java; familiarity with distributed systems, Docker, Kubernetes, and graph databases; Bachelor's or Master’s degree.