About the role

Rebolt is building the next-generation no-code platform that empowers companies to create and deploy custom full-stack applications in minute. Our mission is to enable both technical and non technical teams to replace brittle spreadsheets and one-size-fits-all SaaS with their own internal tools.

Why Join

• Participate in building a cutting-edge AI agent platform from 0 to 1 and scale it to production.
• Significant founding team equity.
• Work directly with AI/ML systems, web agents, and full-stack development.
• Shape the technical architecture and culture of a fast-growing YC-backed startup.

You will be a perfect fit if you…

• Have 2+ years of backend engineering experience and a solid foundation in both Computer Science and software engineering principles. We're also open to exceptional college grads with strong intern/co-op experience.
• Are fluent in Python and TypeScript and have worked with FastAPI and/or NextJS in the past.
• Understand how databases (KV, SQL, Document based) work, when each of them should be used and how they can be optimized.
• Have previously developed, tested and scaled RESTful APIs in the past.
• Are self-motivated, like to take ownership, have low ego; desire to work on a fast-paced, intense, fun team. Passion for building a world-class engineering culture.
• Are product-focused, understanding that technology is a means to build an amazing product, not an end in itself.
• Value code quality, but are pragmatic, shipping fast when needed.
• Are excited about AI/ML applications and have previously worked in LLMs, agents, and automation

Nice to have:

• Knowledge of OOP design patterns, clean architecture, event sourcing and Test Driven Development.
• Experience with DevOps tooling: Docker, Kubernetes, Github Actions and cloud platforms.
• Thorough knowledge of the Linux operating system.

About our hiring process:

1. 30 minute interview with a founder to discuss your background
2. If we think you are a potential fit, we will send you a take home assignment.
3. One hour interview diving into your take home submission where we’ll ask you about your solution, etc.
4. Final interview with the full team.

What it means to join the team:

• Own the engine room. Architect and ship the core services that power our multi-agent AI workflows: rock-solid restful APIs, data models built for evolution, and deployment/debug tools that just work.
• Be the go-to expert. Troubleshoot critical issues in production, mentor peers on system design, and evangelize best practices across services and languages.
• Move at startup speed. Partner directly with customers: jump on customer calls, diagnose pain points, and deliver impactful improvements in hours, not quarters.