Investment-grade research and commercial due diligence, rebuilt around AI. Every claim traced to its source — days not weeks, at a fraction of the cost. Backed by Y Combinator.
About the role
Build new product features and experiences end-to-end, everything from database models to API endpoints, and integrating them with UI components for our web and AI Voice Agent Application Design and build new AI-powered modules from scratch (e.g., market sizing, competitive analysis) that become core capabilities of our research platform
What they're looking for
- 3+ years of professional Python backend experience
- Strong expertise building production APIs (FastAPI, Django, or similar)
- Experience building agentic systems with LLM platforms (Anthropic, OpenAI, or similar)
- Deep hands-on experience with LLMs in production - building reliable agentic systems, not just API calls
- Experience with PostgreSQL and SQL database design
- Understanding of async programming, job queues, and distributed systems
More about this role
We're looking for a Software Engineer with deep expertise in backend to help develop the next-generation AI platform for market due diligence. You'll architect the AI-powered engine that orchestrates autonomous research agents and voice AI pipelines to create the next-generation of market reports for investment professionals in Private Equity, Hedge Funds, Private Credit, and Corporate M&A.
DiligenceSquared automates commercial due diligence for Private Equity funds. We're YC-backed, just raised a significant Seed round, and our clients include some of the world's largest PE funds.
The market is $10B+ annually - PE funds pay McKinsey, BCG, and Bain $500K-$1M per report. Our AI agents do this work faster, cheaper, and with full auditability (every claim linked to source).
Our founders bought and sold these reports at Blackstone and BCG where they held senior positions. We have deep experience with the workflows and know exactly what the market needs - and now we're automating it.
Build new product features and experiences end-to-end, everything from database models to API endpoints, and integrating them with UI components for our web and AI Voice Agent Application
Design and build...
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