Software Engineer (Backend/AI)

About Raven

AI Assistants for Manufacturing Operations

Tech

- Design and improve **AI infrastructure** that scales across industrial use cases. - Build **retrieval-augmented generation (RAG)** systems to make sense of complex operational data. - Create and optimize **multi-modal pipelines** to process information from documents, diagrams (e.g., P&IDs), and live data streams. - Develop **evaluation systems** to measure model performance in real-world industrial contexts. - Work on **knowledge graphs** and other tools to link operational and maintenance data across systems. - Build systems for **real-time data processing** from equipment sensors and logs.

The role

### About UsRaven 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 OnThis 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.### Good to Have* Experience with AI systems, document extraction, search/retrieval, workflow automation, or evaluation pipelines.* Interest in industrial data like P&IDs, SOPs, datasheets, historian data, and maintenance records.* Interest in knowledge graphs, entity resolution, traceability, and grounded AI outputs.* Startup experience or experience working in small, high-ownership teams.* Comfortable working directly with customers and wearing multiple hats.### Why Join UsWe’re building core infrastructure for how industrial teams work with plant data and AI agents.You’ll be one of the early engineers shaping the product, architecture, culture, and engineering direction.We offer:**Impact:** Work on real-world industrial problems where better systems can improve safety, reliability, and efficiency.**Ownership:** 0.1–1% equity because this should feel like your company too.**Depth:** Work across backend systems, data pipelines, document intelligence, plant data, and AI agents.We believe in working together in person, especially at this stage. Fast iteration and collaboration matter, and being in the room together makes a difference.

Skills

• Go
• Python
• Natural Language Processing