AI/ML Engineer

Tenex.AI Inc.; United States; Hybrid; USD 120,000 - 180,000; Full time

Job summary

TENEX is seeking an AI/ML Engineer to design, develop, and optimize scalable AI systems for autonomous detection and remediation in cybersecurity. You will collaborate across engineering teams to shape architecture and drive technical innovation.

Ideal candidates have 1–3+ years in software development, experience with distributed systems, and proficiency in Python/Go/Rust/Java, Docker, and Kubernetes. Hybrid onsite work with WFH Friday.

Qualifications

• Bachelor's degree in CS/Engineering or related field.
• 1–3+ years in software development and production systems.
• Proficiency with Python, Go, Rust or Java.
• Experience with distributed systems and cloud infra.

Responsibilities

• Drive large, abstract projects from start to finish with cross‑team alignment.
• Design and build AI layer powering autonomous detection and remediation.
• Productionize large language models and graph reasoning engines.
• Own evaluation, reliability, latency budgets and red‑team testing.
• Collaborate with Product, Detection Eng, and Customer Success.

Skills

Python

Go

Rust

Java

Multi-Agent Systems

Graph Databases

LangChain

LangGraph

REST APIs

gRPC

Microservices

Education

Bachelor's or Master’s in CS/Engineering

Certifications (AWS/GCP/Kubernetes)

Tools

Docker

Kubernetes

Cloud (AWS/GCP/Azure)

REST/gRPC tooling

LangChain/LangGraph

Job description

TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. We are a force multiplier for defenders, helping organizations enhance their cybersecurity posture through advanced threat detection, rapid response, and continuous protection. Our team is composed of industry experts with deep experience in cybersecurity, automation, and AI-driven solutions. Backed by leading investors, we are rapidly growing and seeking top talent to join our mission of revolutionizing the AI-Native MDR landscape.

We’re a fast-growing startup backed by industry experts and top-tier investors led by Crosspoint Capital Partners and also backed by Shield Capital, DTCP (formerly Deutsche Telekom Capital Partners), Deepwork Capital, and the Florida Opportunity Fund. Seed round led by Andreessen Horowitz (a16z). As an early employee, you’ll play a meaningful role in defining and building our culture. Get in on the ground floor. We’re a small but well-funded team that just raised a substantial round – joining now comes with limited risk and unlimited upside.

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 play a crucial role in shaping the architecture of our AI-driven cybersecurity solutions while collaborating across engineering teams and driving technical innovation.

Culture is one of the most important things at TENEX.AI —explore our culture deck at culture.tenex.ai to witness how we embody it, prioritizing the irreplaceable collaboration and community of in-person work.

Location: This role will require Monday - Thursday onsite in any of our locations. WFH Friday.

Job 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.

Required Skills & Qualifications

Software Engineering & Architecture Expertise

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

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

Graph Architectures: Solid understanding of Graph structures and specifically graph databases.

Orchestration Frameworks: Hands‑on experience building agents, orchestration frameworks (LangChain/LangGraph, Agno AGI, or custom), and evaluation harnesses.

Distributed Systems: Deep understanding of microservices architecture, containerization (Docker, Kubernetes), and event‑driven systems.

APIs: Strong fundamentals in API design (REST/gRPC) and distributed systems.

Soft Skills

Communication: Clear, concise communication skills and a bias for collaborative problem‑solving.

Leadership Alignment: Proven track record of gathering consensus and guiding multi‑stakeholder initiatives through uncertain boundaries.

Analytical Rigor: Strong problem‑solving and analytical skills.

Nice‑to‑have

Domain Background: Prior work in cybersecurity (SIEM, EDR, SOAR, or MDR).

Startup Mentality: Background driving high‑impact engineering initiatives in high‑growth startups or enterprise SaaS.

Cloud Infrastructure: Familiarity with cloud infrastructure security (AWS, GCP, or Azure).

Education & Certifications

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.

Why Join Us?

Opportunity to work with cutting‑edge AI‑driven cybersecurity technologies and Google SecOps solutions.

Collaborate with a talented and innovative team focused on continuously 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.

If you're passionate about combining cybersecurity expertise with artificial intelligence and have experience with advanced multi‑agent architectures, we encourage you to apply!