TENEX.AI Logo

TENEX.AI

Principal AI Engineer

Reposted 2 Months Ago
Remote or Hybrid
2 Locations
Expert/Leader
Remote or Hybrid
2 Locations
Expert/Leader
As a Principal AI Engineer, you'll design scalable AI systems, mentor teams, develop large-scale LLMs, and optimize AI-driven cybersecurity solutions.
The summary above was generated by AI
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 just raised a substantial round – joining now comes with limited risk and unlimited upside.

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.

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.

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.

If you're passionate about combining cybersecurity expertise with artificial intelligence and have experience with Google SecOps and Chronicle, we encourage you to apply!

Similar Jobs

Yesterday
In-Office or Remote
153K-220K Annually
Senior level
153K-220K Annually
Senior level
Fintech
Defines and implements enterprise AI observability, telemetry, evaluation, drift detection, guardrails, incident management, governance controls, audit evidence, and cost monitoring. The role establishes standards for internally built and vendor AI systems, integrates monitoring and compliance platforms, maintains the AI system inventory, and coaches engineering teams on production adoption. It partners with Risk, Compliance, Legal, Privacy, and Security to operationalize AI governance in a regulated environment.
Top Skills: Bigquery MlDatadogEu Ai ActIso/Iec 42001Nist Ai RmfOpentelemetryOwasp LlmPagerdutyPythonSQL
3 Days Ago
Remote
5 Locations
157K-361K Annually
Senior level
157K-361K Annually
Senior level
Artificial Intelligence • Cloud • Information Technology • Consulting
Designs, develops, deploys, and scales advanced AI and machine learning models and systems. Leads research initiatives, architecture decisions, technical design reviews, and continuous improvement efforts. Collaborates with data scientists, software engineers, and product managers, while mentoring engineers and communicating strategies to executive stakeholders. Applies data mining, modeling, NLP, deep learning, and statistical techniques to solve complex product and systems problems.
Top Skills: C++Cloud ServicesComputer VisionDeep LearningDistributed ComputingGitJavaNatural Language ProcessingPythonPyTorchScikit-LearnTensorFlow
3 Days Ago
Remote or Hybrid
Massachusetts, USA
180K-210K Annually
Expert/Leader
180K-210K Annually
Expert/Leader
Gaming • Information Technology • Mobile • Software
Own the implementation, hardening, and polish of game AI behaviors and systems for shipping. Collaborate with design, animation, and other disciplines to tune AI features and support the creative vision. Ensure reliable, stable enemy behaviors and enhance existing architecture. The role requires deep Unreal Engine and modern game AI experience, strong C++ skills, animation systems knowledge, and at least one shipped game title focused primarily on AI.
Top Skills: Behavior TreesBlend SpacesBlueprintsBuild AutomationC#C++Distance MatchingMotion WarpingPathfindingPerception SystemsPythonRoot MotionState MachinesUnreal Engine 4Unreal Engine 5

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account