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Principal AI Engineer

TENEX.AI· Engineering
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Hybrid (San Jose, CA), Hybrid (Sarasota, FL HQ), Hybrid (Remote, USA), Hybrid (Kansas City, MO SOC)Full-timePosted 11mo ago

About the role

Key technical leader responsible for designing, developing, and optimizing scalable, high-performance AI systems for AI-driven cybersecurity solutions; mentors engineering teams and drives technical innovation.

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.

Qualifications

  • 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.
  • Prior work in cybersecurity (SIEM, EDR, SOAR, or MDR) and experience with graph databases or security-focused knowledge graphs (nice-to-have).
  • Familiarity with cloud infrastructure security (AWS, GCP, or Azure) and leadership in high-growth startups or enterprise SaaS (nice-to-have).
  • Soft skills: problem-solving, analytical abilities, leadership, mentoring ability, and passion for cybersecurity and automation.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field; relevant certifications are a plus.

Skills

Required:Software EngineeringLLM architecture and prompt engineeringAgents and orchestration frameworksMicroservices & containerizationAPI design (REST/gRPC)Communication & leadership
Nice to have:Cybersecurity domain knowledge (nice-to-have)Cloud security knowledge (nice-to-have)

Benefits

  • Competitive salary and benefits package
  • Opportunities for growth and development in AI, cybersecurity, and emerging technologies
  • Culture prioritizing collaboration and in-person work
  • Exposure to cutting-edge AI-driven cybersecurity technologies and Google SecOps solutions
Last updated Jul 16, 2026. Interested? Apply on the company site.

About TENEX.AI

10x Your Cyber Security With Ai

With a focus on precision and scalability, TENEX delivers comprehensive cyber security solutions that evolve with your organization.

cyber securityAI-drivenAutomationManaged Detection and ResponseThreat ManagementIncident ResponseSecurity Automation
Company profileWebsite

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