TENEX.AI · 2 months ago
Principal AI Engineer (Remote)
TENEX.AI is an AI-native Managed Detection and Response provider focused on enhancing cybersecurity through advanced threat detection and rapid response. As a Principal AI Engineer, you will design and optimize AI systems, mentor engineering teams, and drive technical innovation in AI-driven cybersecurity solutions.
Artificial Intelligence (AI)Cyber SecurityNetwork SecuritySaaS
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
Qualification
Required
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
Strong problem-solving and analytical skills
Excellent communication and leadership abilities
Ability to mentor and influence engineering teams
Passion for cybersecurity and automation
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Preferred
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
Relevant certifications (AWS/GCP Professional Engineer, Kubernetes, or security-related credentials) are a plus
Benefits
Competitive salary and benefits package.
Company
TENEX.AI
TENEX.AI is a cybersecurity company that utilizes AI and human expertise to help enterprises protect their digital assets.
Funding
Current Stage
Early StageTotal Funding
$27MKey Investors
Crosspoint Capital PartnersAndreessen Horowitz
2025-09-11Series A· $27M
2025-01-20Seed
Leadership Team
Recent News
Business Observer
2026-01-06
Business Journal
2025-12-09
2025-12-02
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