About the role
About Us
Raven is a YC-backed startup building AI for heavy industries. We’re building Cursor for industrial work — data infrastructure for process plants and AI agents that work on top of this data.
We work with manufacturing, chemicals, oil & gas, and other industrial teams to help engineers access, understand, and act on complex plant information faster.
We’re a small, focused team based in Bangalore, building for teams that work in some of the toughest operational environments.
What You’ll Work On
This is a core technical role focused on building data infrastructure and AI-native applications for heavy industries.
You’ll work on:
- Building the plant data/model layer that brings together P&IDs, SOPs, datasheets, historian data, maintenance records, logs, and other plant context.
- Building pipelines to extract structured, reliable data from industrial documents and systems.
- Making plant data usable by AI agents with grounding, traceability, and review workflows.
- Building Python/Go backend services for data ingestion, search, orchestration, and agent workflows.
- Working on knowledge graphs, entity resolution, event timelines, and plant topology.
- Building agents that work on top of this data to help engineers answer questions, investigate issues, and execute operational workflows.
- Working directly with customers to understand real plant workflows and turn them into shipped product.
Who We’re Looking For
- 2–4+ years of experience building production backend systems.
- Strong Python and/or Go skills.
- Experience building APIs, services, data pipelines, or backend infrastructure.
- Ability to own technical problems end-to-end and ship working systems.
- Comfortable working in ambiguity, iterating fast, and solving real customer problems.
