Principal AI Engineer

TENEX.AI; San Jose (CA); Hybrid; USD 190,000 - 250,000; Full time

Benefits offered by this job

Competitive salary

Growth opportunities

Collaboration-focused culture

Job summary

TENEX.AI is seeking a Principal AI Engineer in San Jose to design and optimize scalable AI systems focused on cybersecurity. You will lead the development of innovative solutions, mentor engineering teams, and contribute to shaping AI-driven strategies. The role requires extensive experience in software engineering and architecture, especially with LLMs, Python, and modern frameworks. Join a dynamic startup culture with a competitive salary range of $190,000 - $250,000.

Qualifications

• 10+ years of experience in software development with modern languages.
• Deep knowledge of LLM architecture and prompt engineering.
• Hands-on building agents and orchestration frameworks.

Responsibilities

• Design & build the AI layer for detection and remediation workflows.
• Develop LLMs and pipelines operating on billions of events.
• Mentor AI engineers and ensure high code quality.

Skills

Software Engineering

Architecture Expertise

LLM architecture

Python

Go

Rust

Java

Docker

Kubernetes

Problem Solving

Education

Bachelor’s or Master’s degree in Computer Science or Engineering

Tools

LangChain

LangGraph

Google SecOps

Chronicle

Job description

Company Overview

TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. We are a force multiplier for defenders, helping organizations enhance their cybersecurity posture through advanced threat detection, rapid response, and continuous protection. Our team is composed of industry experts with deep experience in cybersecurity, automation, and AI-driven solutions. Backed by leading investors, we are rapidly growing and seeking top talent to join our mission of revolutionizing the AI-Native MDR landscape.

We’re a fast-growing startup backed by industry experts and top-tier investors led by Crosspoint Capital Partners and also backed by Shield Capital, DTCP (formerly Deutsche Telekom Capital Partners), Deepwork Capital, and the Florida Opportunity Fund. Seed round led by Andreessen Horowitz (a16z). As an early employee, you’ll play a meaningful role in defining and building our culture. Get in on the ground floor. We’re a small but well-funded team that has just raised a substantial round – joining now comes with limited risk and unlimited upside.

Location

This role will require Monday–Thursday onsite in any of our locations. WFH Friday.

Job Responsibilities

• 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.
• Mentor & grow a cohort of AI engineers; run design reviews, uphold code quality, and instill a security-first mindset.
• 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
  • 10+ years of experience in software development, engineering production systems using modern programming languages (Python, Go, Rust, or Java).
  • Deep knowledge of LLM architecture, prompt engineering, and Vector database workflows.
  • 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.
• Nice‑to‑have
  • Prior work in cybersecurity (SIEM, EDR, SOAR, or MDR).
  • Experience with graph databases or security-focused knowledge graphs.
  • Familiarity with cloud infrastructure security (AWS, GCP, or Azure).
  • Background leading teams in high-growth startups or enterprise SaaS.
• Soft Skills
  • Strong problem‑solving and analytical skills.
  • Excellent communication and leadership abilities.
  • Ability to mentor and influence engineering teams.
  • Passion for cybersecurity and automation.

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.

Culture is one of the most important things at TENEX.AI—explore our culture deck at culture.tenex.ai to witness how we embody it, prioritizing the irreplaceable collaboration and community of in-person work.

As a Principal AI Engineer at TENEX, you will be a key technical leader responsible for designing, developing, and optimizing scalable, high-performance AI systems. You will play a crucial role in shaping the architecture of our AI-driven cybersecurity solutions while mentoring engineering teams and driving technical innovation.

If you’re passionate about combining cybersecurity expertise with artificial intelligence and have experience with Google SecOps and Chronicle, we encourage you to apply! We practice pay transparency and reward performance. Offers reflect equity, experience, skills, education, and certifications. Base salary for this position in San Jose: $190,000 - $250,000.