Principal AI Engineer

October 25

🐊 Florida – Remote

Although this job is listed in Florida, this company may be open to hiring remote in other states.

🌪️ Kansas – Remote

Although this job is listed in Kansas, this company may be open to hiring remote in other states.

⏰ Full Time

🔴 Lead

🤖 AI Engineer

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TENEX.AI

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Cybersecurity • Artificial Intelligence • SaaS

TENEX. AI is a cybersecurity company that specializes in offering AI-driven Managed Detection and Response (MDR) services. They provide comprehensive solutions for threat management, security automation, and rapid incident response, ensuring organizations can detect and neutralize cybersecurity threats in real-time. TENEX leverages advanced AI technology to automate routine security tasks and enhance operational efficiency, allowing enterprises of all sizes to scale their cybersecurity measures and maintain robust protection against emerging threats.

11 - 50 employees

Founded 2024

🔒 Cybersecurity

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Competitive salary and benefits package • A culture of growth and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies