AI/ML Engineer

TENEX is an AI-native, automation-first Managed Detection and Response (MDR) provider. We help organizations enhance their cybersecurity posture through advanced threat detection, rapid response, and continuous protection. Our team consists of industry experts with deep experience in cybersecurity, automation, and AI-driven solutions. Backed by leading investors such as Crosspoint Capital Partners, Shield Capital, DTCP, Deepwork Capital, and the Florida Opportunity Fund, we are rapidly growing and seeking top talent to join our mission.

About the role

As an AI/ML Engineer at TENEX, you will be a key technical driver responsible for designing, developing, and optimizing scalable, high-performance AI systems. You will shape the architecture of our AI-driven cybersecurity solutions, collaborate across engineering teams, and drive technical innovation. Culture is a priority at TENEX—explore our culture deck at culture.tenex.ai to see how we prioritize in-person collaboration and community.

Responsibilities

• Drive and land large abstract projects from start to finish, including gathering consensus, efficient delegation, and stakeholder alignment.
• Design and build the AI layer powering autonomous detection, RAG-backed investigation, and auto-remediation workflows.
• Develop and productionize large-scale LLMs, graph-based reasoning engines, and streaming feature pipelines operating on billions of security events.
• Own evaluation and reliability, including prompt libraries, fine-tuning, red-team testing, latency budgets, and fallback strategies.
• Partner with Product, Detection Engineering, and Customer Success to translate real-world attacker behavior into robust ML and rule-based detections.
• Experiment with retrieval-augmented generation, tool-calling agents, and multi-modal models (text + logs + graphs) to advance cybersecurity defenses.

Requirements

• 1–3+ years of experience in software development and engineering production systems using modern languages (Python, Go, Rust, or Java).
• Deep knowledge of agentic systems design, including Centralized and/or Decentralized Multi-Agent Systems (MAS) architectures.
• Solid understanding of graph structures and graph databases.
• 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.
• Proven track record of gathering consensus and guiding multi-stakeholder initiatives through uncertain boundaries.
• Strong problem-solving and analytical skills.

Qualifications

• 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.

Nice-to-have

• Prior work in cybersecurity (SIEM, EDR, SOAR, or MDR).
• Startup experience driving high-impact engineering initiatives in high-growth startups or enterprise SaaS.
• Familiarity with cloud infrastructure security (AWS, GCP, or Azure).

Schedule

This role requires Monday–Thursday onsite at one of our locations, with remote work on Fridays.

Benefits

• Opportunity to work with cutting-edge AI-driven cybersecurity technologies and Google SecOps solutions.
• Collaborate with a talented and innovative team focused on 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.