DiligenceSquared
Engineer - Backend
New York, NY, US · Mid · Full-time
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About the role
- About DiligenceSquared 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.
Responsibilities
- 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
- Build and own product foundations (AI agent orchestration, voice AI pipelines, app and API performance, intelligent automations)
- 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.
Requirements
- 3+ years of professional Python backend experience
- Deep hands-on experience with LLMs in production - building reliable agentic systems, not just API calls
- Experience with PostgreSQL and SQL database design
- Experience with background task orchestration and async processing workflows
- Experience with Anthropic Claude API and Agent SDK
- Familiarity with agent orchestration frameworks
- Familiarity with vector databases and semantic search (pg_vector, etc.)
- Experience with Supabase or similar Backend-as-a-Service platforms
- We have deep experience with the workflows and know exactly what the market needs - and now we're automating it.
Compensation
- The market is $10B+ annually - PE funds pay McKinsey, BCG, and Bain $500K-$1M per report.
Company info
- After all, we are founded by investment professionals)
This listing is sourced directly from DiligenceSquared's careers page and normalized into a canonical job model.