About the role

What You'll Do As a founding frontend/full-stack engineer at Peppr AI, you'll own features end-to-end—from UI/UX design through implementation—creating the interfaces that make our agentic AI platform intuitive and powerful for enterprise users. You'll work with React, shadcn, react-router, and FastAPI to build polished experiences that seamlessly integrate with our AI backend systems.

Key responsibilities include:

• Design and ship polished interfaces with React, shadcn, and react-router
• Take ownership of full features: mockup → implementation → QA → deployment
• Collaborate closely with product & design teams to craft delightful user experiences
• Build reusable, scalable frontend architecture and consistent design systems
• Optionally tie in backend work using FastAPI and PostgreSQL to deliver complete solutions

What We're Looking For We're seeking a proactive engineer who can own features end-to-end and ship fast in a dynamic startup environment. You should have:

Required:

• 3+ years shipping production React applications with strong TypeScript/JavaScript skills
• Experience with UI libraries/components (shadcn or similar frameworks)
• Familiarity with react-router, state management, form handling, and responsive design
• Basic design sense—experience in Figma, design systems, or styling frameworks
• Bonus: Experience building UI for AI-driven workflows or agent interfaces

Nice-to-Have:

• Backend experience with FastAPI or Python for full-stack development
• Production experience with Docker, CI/CD, and some AWS or Kubernetes basics
• A product mindset and experience shipping end-to-end features
• Comfort with ambiguity and rapid iteration in a startup environment

This role offers the opportunity to shape both our user experience and technical architecture while building interfaces for the future of enterprise AI.

About Peppr AI

About Peppr AI

At Peppr AI, we’re building the data and intelligence layer that makes AI agents truly work inside large enterprises. AI adoption is exploding, but most orgs can't make use of agents because their data is too fragmented. Peppr solves this by learning from how employees actually work and stitching together an org-wide brain that agents can use.

We’re already deployed at enterprises with 1000+ employees like Citrix and just wrapped up the W25 Y Combinator batch. We’re a team of 4 Georgia Tech grads with 2 prior exits, and we move fast, build deep, and obsess over solving real problems.

We’re hiring another founding engineer to join us on the technical frontier — someone excited to shape the future of how humans and AI work together.