Fullstack / AI Engineer (New Grads)

About the Role

We’re looking for a Full Stack / AI Engineer (New Grad) to join our team and help build the intelligence layer of modern manufacturing. This is a zero-to-one role where you’ll take ownership of large, ambiguous problem areas and turn ideas into production-ready AI products used every day by sales teams, operators, and plant managers. You’ll work across the entire product stack—from frontend and backend development to AI agents, integrations, infrastructure, and product design.

What You’ll Work On

In your first 30 days, you may:

• Visit a customer plant or office to understand existing workflows and translate real-world challenges into product requirements.
• Build end-to-end AI agents for complex workflows such as quoting, pricing, inventory management, procurement, and scheduling.
• Design and develop integrations with ERP and CRM systems.
• Prototype new product features, test them with real customers, and iterate based on feedback.
• Design simple, intuitive, and high-impact product experiences.
• Build core product features across both frontend and backend.
• Develop infrastructure that keeps AI agents reliable, scalable, and production-ready.
• Evaluate and deploy new AI capabilities and models.

What We’re Looking For

We’re looking for someone who:

• Has strong full-stack engineering skills and is comfortable working across frontend, backend, data, and AI.
• Can take ownership of a problem from idea → prototype → production.
• Enjoys operating in ambiguous environments and figuring things out independently.
• Has strong product instincts and can think like an engineer, product manager, designer, and data engineer when needed.
• Is comfortable getting deep into technical problems while also knowing when to leverage AI-assisted development tools to move quickly.
• Can explain complex technical systems clearly to both technical and non-technical audiences.
• Is highly collaborative, curious, and motivated by building products that solve real-world problems.
• Is based in San Francisco or willing to relocate.
• Is comfortable working in person and believes that sometimes the best solutions come from sitting together at a whiteboard.

Tech Stack

We keep our stack focused and practical so we can move quickly:

• TypeScript
• Next.js
• React
• LLM-powered applications and AI agents
• OpenAI, Gemini, and Anthropic models

We choose the right model and technology for each use case rather than forcing everything into a single approach.

Why Join Us?

• True ownership over core architecture and product decisions.
• The opportunity to make an immediate impact in global manufacturing environments.
• A chance to work directly with real customers and real operational challenges.
• Direct collaboration with founders who bring deep industry and domain expertise.
• The opportunity to help shape our engineering culture, product, and company traditions.
• A highly hands-on environment where your work can go from an idea to production quickly.

Interview Process

• Introductory Call
• Technical Take-Home
• Paid Work Trial
• Offer