Bangalore
Corpus is building India's first AI-native financial advisor — a product that knows your complete financial picture, gives you advice a ₹5 Cr wealth manager would, and does it for everyone, not just the wealthy.
India has fewer than 1,000 registered investment advisors for 6 million investable households. Good advice never scaled. With AI, it can.
Work directly with the founders for 3 months, full-time and in-office in Bangalore, on LLM systems, prompt engineering, deployments, and product engineering for an AI-native personal finance platform.
Iterate on system prompts, tool definitions, and agent chains (LangChain/LangGraph) that power the AI advisor — optimising for accuracy, grounding, and trust.
Build and evaluate prompt variations systematically — not vibes, but evals with real user conversations.
As the stack grows, move towards voice AI integration, real-time inference setup, and reducing costs per query.
Deploy and maintain the backend (FastAPI, PostgreSQL, SQLAlchemy) and frontend (Expo/React Native) across staging and production environments.
Take on product engineering tasks — fixing bugs, building UI components, improving data pipelines.
Website updates (HTML/Tailwind) as needed.
Interest in LLM systems, prompt engineering, and applied AI products.
Tech stack: Python/React setup for now, libraries including LangChain etc. for agents setup
Comfort working across engineering tasks, from product fixes to deployment work.
Familiarity with some of: FastAPI, React Native, deployments, CI/CD, Docker, or cloud platforms.
Ability to work full-time, in-office in Bangalore for 3 months, or virtually.
We review every application carefully and aim to get back within a week.
No automated rejections — if you took the time to apply, we’ll read it.