Full Stack Engineer

Raven is a YC-backed startup (S22) building AI assistants for manufacturing plants. We’re taking decades of manufacturing expertise and combining it with AI to solve real operational problems. Backed by top VCs, we’re a small, focused team working to make industrial operations safer, smarter, and more efficient. We’re based in Bangalore, building for teams that work in some of the toughest environments.

What You’ll Work On

You’ll own the interface between complex AI systems and real-world plant users.

Specifically, you'll :

Build fast, intuitive UIs in React / TypeScript for operators, engineers, and technicians.

Design agent-driven interfaces for chat, diagram annotation, workflow guidance, and real-time ops.

Create frontend infrastructure for rendering large technical documents (e.g. P&IDs), live signals, and retrieved knowledge.

Work closely with backend and AI engineers to ship workflows across the full stack.

Translate ambiguity into clean user flows that make advanced AI feel simple.

Who We’re Looking For

1–3+ years of frontend-heavy product development experience.

Strong skills in React / TypeScript, with taste for clean, fast, and maintainable UIs.

Comfort working across the stack—basic APIs, DB integrations, build tools.

Interest in working with LLM-based agents, chat systems, and multimodal interfaces.

Ownership mindset : you care about real-world impact, polish, and pushing features to production.

Bonus : You’ve worked in a startup before and are comfortable wearing multiple hats.

Why Join Us

We’re not just building one-off tools—we’re building core systems that empower plant teams to make faster, safer decisions. This is about creating systems that process complex, scattered information and make it accessible in seconds.

Here’s what we offer :

Impact : Be one of the first hires and shape the product, culture, and direction of the company. Ownership : We’re offering 0.1-1% equity because this should feel like your company too.

Focus : This is a chance to work on deep, meaningful problems that directly affect real-world outcomes in safety and efficiency.

We believe in working together in person, especially at this stage of the company. Fast iteration and collaboration matter, and being in the room together makes a difference.