AI Founding Engineer

At NetBox Labs, we’re building the future of network automation. Our products power the network source of truth for thousands of organizations, from fast-growing startups to global enterprises. We’re now looking for a hands-on, technically experienced AI/ML engineer to help us bring intelligent, context-aware capabilities to our product suite — and establish the foundation for our AI function.

About the Role:

This is a founding role on a new AI initiative at NetBox Labs. You’ll be exploring and delivering AI-powered product features that make network and infrastructure management easier, faster, and more intelligent, while bringing your subject matter expertise to help shape our technical direction, identify high-value opportunities, and guide architectural decisions from the ground up.

We’re not looking for someone to simply prototype — we need someone who can ship. You’ll take ownership of the full lifecycle of intelligent features, from experimentation and modeling to production deployment and iteration. Your work will directly shape how our users and customers interact with and realize value from NetBox Labs products.

You’ll also play a key role in establishing patterns, processes, architecture, and internal knowledge that allow us to scale AI efforts across the company over time.

What You'll Do:

• Design and build foundational AI capabilities and intelligent systems that support both user-facing features and new product experiences across our platform
  

• Collaborate with product and engineering to define problems worth solving with AI/ML
  

• Lay technical foundations that enable scalable, secure, and repeatable use of AI
  

• Explore and implement agentic solutions where appropriate, enabling autonomous or semi-autonomous capabilities in our products
  

• Educate and mentor team members on AI/ML principles, techniques, and best practices to build company-wide fluency
  

• Serve as the team's AI expert, keep up to date with broader AI engineering trends, and help guide the evolution of the AI function as we grow

  
  

About You:

• 5+ years of experience building AI- or ML-powered features in production systems
  

• Hands-on experience with LLMs, agentic architectures, or similar generative AI technologies applied to real-world problems
  

• Strong Python engineering skills; comfort working in backend systems (Golang a plus)
  

• Experience integrating with products implemented with AWS, Kubernetes, Postgres, Clickhouse, microservices, and event driven architectures
  

• Experience shipping and supporting AI-driven features or ML models in production environments
  

• Comfortable in ambiguity — able to explore, validate, and narrow down problem spaces
  

• Collaborative, pragmatic, and product-oriented
  

• Experience working cross-functionally with product, engineering and other stakeholders
  

• 2+ years of experience working in a B2B SaaS startup environment or similarly fast-paced, high-ownership setting

Our culture and values: 

• We own and solve problems with high attention to detail.

• Our open source contributors, users, customers & team are all part of our community. When our community wins, we win.

• We prioritize simplicity and think twice before adding complexity

• Clear communication helps keep our team aligned and collaborating smoothly.

About NetBox Labs:

NetBox Labs helps companies build and manage complex networks. We help customers accelerate network automation by delivering open, composable products and supporting the network automation community.

NetBox Labs is the commercial steward of open source NetBox, the world’s most popular network source of truth, and Orb, the next-generation open source network observability platform. Our products include NetBox Enterprise, a fully supported self-managed NetBox with advanced features, and NetBox Cloud, a secure, scalable, and reliable SaaS edition of NetBox.

NetBox powers thousands of companies, and NetBox Labs is backed by investment from Notable Capital (formerly GGV), Grafana Labs CEO Raj Dutt, Flybridge, IBM, Salesforce Ventures, and Mango Capital.