AI/ML Engineer II

Job Responsibilities

• Drive and deliver technical components of complex projects.
• Communicate effectively to align on requirements, execute on high-quality code, and collaborate with senior engineers and stakeholders throughout the development lifecycle.
• Design and build the AI layer that powers autonomous detection, RAG-backed investigation, and auto-remediation workflows.
• Develop and productionize large-scale LLMs, graph-based reasoning engines, and streaming feature pipelines that operate on billions of security events.
• Own evaluation and reliability from prompt libraries and fine-tuning to red-team testing, latency budgets, and fallback strategies.
• Partner tightly 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 keep defenders decisively ahead.

Required Skills & Qualifications

• 3-5 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.

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.

Culture

We prioritize the irreplaceable collaboration and community of in-person work. Explore our culture deck at culture.tenex.ai to witness how we embody it.

Location

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

Pay

Competitive salary and benefits package.

Schedule

Monday - Thursday onsite in any of our locations. WFH Friday.