AI/ML Engineer
At a glance
Mid-level Machine Learning Engineering role at TENEX.AI. San Jose · full-time · no salary stated · we estimate $166,100–$273,925.
TENEX.AI has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build the AI layer for autonomous threat detection, RAG investigations and automated remediation
- Bring large language models, graph reasoning and streaming features into production for billions of security events
- Set up model checks and reliability controls, including prompt sets, fine-tuning, red-team tests and fallback plans
- Turn attacker behavior into ML and rule-based detections with product, detection engineering and customer success teams
- Lead complex projects from planning through delivery, aligning stakeholders and delegating work
What you bring
- At least one year building production software with Python, Go, Rust or Java
- Strong knowledge of agent architectures, graph databases, distributed systems and event-driven services
- Hands-on work developing agents, orchestration frameworks and evaluation systems
- A computer science, engineering or related degree at bachelor’s or master’s level
Who this fits
This mid-level role suits an engineer who can own technical projects and work across teams on AI and security detection systems. The position requires on-site work Monday through Thursday at one of the company’s locations, with work from home on Fridays. It is based in the United States.
From the employer
Company Overview
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!