Camley is building agentic infrastructure for private markets - a $55 trillion asset class still running on spreadsheets, legacy systems, and manual processes. Our platform uses a multi-agent architecture to automate the complex, human-intensive workflows that power fund operations, from fund accounting and waterfall calculations to investor reporting and compliance.
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.
We are a small team working across London and New York. We are open to remote/hybrid for the right candidate. We are a lean team with a high bar for excellence, and hours will at times be intense as in any high-growth startup. In return, you get the autonomy to do some of the best work of your life, and a founding team that values openness, empathy, and not taking ourselves too seriously.
We are looking for an exceptional engineer who wants the autonomy to shape a product from day 0, who loves the challenge of maintaining a strong quality bar while shipping extremely quickly, and who knows how to make smart tradeoffs to get features in front of customers.
Strong candidates have:
Send your CV to careers@camley.ai and tell us what you'd bring.