AI/ML Engineer

Responsibilities

Project Execution: Ability to drive and land large abstract projects from start to finish. This means communicating effectively to gather consensus, efficient delegation, and bringing multiple stakeholders on the journey

AI Layer Engineering: Design & build the AI layer that powers autonomous detection, RAG-backed investigation, and auto-remediation workflows

Productionize Reasoning Engines: Develop and productionize large-scale LLMs, graph-based reasoning engines, and streaming feature pipelines that operate on billions of security events

Evaluation & Reliability: Own evaluation & reliability—from prompt libraries and fine-tuning to red-team testing, latency budgets, and fallback strategies

Cross-Functional Collaboration: 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

Preferred

Prior work in cybersecurity (SIEM, EDR, SOAR, or MDR)

Background driving high-impact engineering initiatives in high-growth startups or enterprise SaaS

Familiarity with cloud infrastructure security (AWS, GCP, or Azure)

Relevant certifications (AWS/GCP Professional Engineer, Kubernetes, or security-related credentials)

Benefits

Competitive salary and benefits package.

A culture of growth and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies.

TENEX.AI is a cybersecurity company that combines human expertise with artificial intelligence to protect digital assets.

Sarasota, Florida, USA

https://tenex.ai

Growth Stage

Total Funding

$277M

Key Investors

Crosspoint Capital Partners

Andreessen Horowitz

2026-03-31

Series B· $250M

2025-09-11

Series A· $27M

2025-01-20

Seed

Leadership Team

Eric Foster

Chief Executive Officer

Ryan Shreve

Co-Founder & CFO/COO

Recent News

EIN Presswire

TENEX.AI Joins the Wiz Partner Alliance Managed Service Provider Program

2026-09-28

TENEX.ai Taps Paul Kleinschnitz to Lead Its Next Phase of Global Growth

2026-09-22

Tech in Asia

Ant Group AI unit Robbyant seeks $222m funding

Qualifications

1 - 3+ years of experience in software development, engineering production systems using modern programming languages (Python, Go, Rust, or Java)

Deep knowledge of agentic systems design, such as Centralized and/or Decentralized MAS (Multi-Agent Systems) architectures

Solid understanding of Graph structures and specifically 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

Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Prior work in cybersecurity (SIEM, EDR, SOAR, or MDR)

Background driving high-impact engineering initiatives in high-growth startups or enterprise SaaS

Familiarity with cloud infrastructure security (AWS, GCP, or Azure)

Relevant certifications (AWS/GCP Professional Engineer, Kubernetes, or security-related credentials)

Required skills

Python, Go, Rust, Java, Multi-Agent Systems (MAS) architectures, Graph databases, LangChain, LangGraph, Agno AGI, Docker, Kubernetes, REST APIs, gRPC, Microservices architecture, AWS, GCP, Azure, SIEM, EDR, SOAR, MDR, Analytical Rigor

Preferred skills

Prior work in cybersecurity (SIEM, EDR, SOAR, or MDR)

Experience

1+ years