About Camley

Camley is building the agentic infrastructure for private markets.

Our clients are leading private equity and infrastructure investment firms, and we are at the forefront of transforming a $55T asset class that still runs on spreadsheets and software built in the 1990s. What Harvey did for legal, we are doing for private markets.
We are building the multi-agent architecture that operates funds end-to-end, solving the highest-stakes problems investment firms face with accuracy and speed. Our agents are not just chatbots - they move money and execute workflows autonomously.

We are backed by top VCs, incl. the first investor in Lovable and one of the most technical AI investors in Silicon Valley responsible for building Uber’s core algorithm. Camley is built by a team from Stanford, Harvard, IIT Delhi, and Penn, with decades of industry experience at McKinsey, SquarePoint, and Deutsche Bank + building foundation models for an Accel-backed startup.
About the role

We are hiring a founding full-stack AI engineer.



You will build products end-to-end and shape agent architecture and technical decisions alongside the CTO. You’ll build the core intelligence layer - language models for reading documents, a knowledge graph & vector DB for storing data and relationships, a calculation engine for the fund mathematics and an orchestration layer that coordinates these into workflows that an auditor can sign. You'll own high-impact features across the stack, from model integration to infrastructure.

With Camley, you get the autonomy to do some of the best work of your life, and a founding team that values curiosity, collaboration, and not taking ourselves too seriously.
We are a small team working across London and Recent York. We are open to remote/hybrid for the right candidate.
What you will do

Design and integrate LLM-powered pipelines and build agents that execute multi-step workflows reliably
Build the agent harness: orchestration, tool use, retries, and human-i

📌 Founding Engineer (India)
🏢 Camley
📍 India