TENEX
Cybersecurity
AI/MLEngineerII
Neural analysis suggests this role is
optimal for Mid candidates.
“AI/ML Engineer II at TENEX. Skills: AI systems, Cybersecurity, Machine Learning, Large Language Models. Drive and deliver technical components. Communicate effectively on requirements”
Industry & Context.
Collaborative problem-solving; Analytical skills
Monday - Thursday onsite
What They're Looking For.
Must Have
3-5 years software development, 3-5 years engineering production systems, Experience with Python, Go, Rust, or Java, Deep knowledge of agentic systems, Solid understanding of Graph structures, Solid understanding of graph databases, Hands-on experience building agents, Hands-on experience with orchestration frameworks, Hands-on experience with evaluation harnesses, Deep understanding of microservices architecture, Deep understanding of containerization, Deep understanding of event-driven systems, Fundamentals in API design, Fundamentals in distributed systems
Nice to Have
Prior work in cybersecurity, Background driving high-impact initiatives, Familiarity with cloud infrastructure security, Relevant certifications
What You'll Do.
Drive and deliver technical components
Communicate effectively on requirements
Execute high-quality code
Collaborate with senior engineers
Collaborate with stakeholders
Design and build AI layer
Develop and productionize LLMs
Develop and productionize reasoning engines
Develop and productionize streaming pipelines
Own evaluation and reliability
Manage prompt libraries
Manage red-team testing
Manage latency budgets
Manage fallback strategies
Partner with Detection Engineering
Partner with Customer Success
Translate attacker behavior
Experiment with retrieval-augmented generation
Experiment with tool-calling agents
Experiment with multi-modal models
How You'll Work.
Team & Collaboration
Cross-functional teams; Senior engineers; Stakeholders; Product; Detection Engineering; Customer Success
Communication Scope
Clear communication; Concise communication
Process & Methodology
Project execution
Full Job Description
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 II Engineer at TENEX, you will be a key technical contributor responsible for designing, developing, and optimizing scalable, high-performance AI systems. You will play a crucial role in implementing our AI-driven cybersecurity solutions while collaborating across engineering teams and contributing to technical innovation. Culture is one of the most important things at http://tenex.ai/TENEX.AI http://TENEX.AI—explore our culture deck at http://culture.tenex.ai/culture.tenex.ai http://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 deliver technical components of complex projects. This means communicating effectively to align on requirements
Applying for this AI/ML Engineer II role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Ashby
- Ashby is a fast modern ATS — most applications take under 3 minutes.
- The resume parser is strong; verify parsed experience dates and job titles.
- Custom screening questions are often scored algorithmically — answer completely.
- Location field affects geo-based screening; use your actual metro area.
ANONYMOUS · UNFILTERED
What do employees actually say about TENEX?
Real rants from real employees. Read before you apply.