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.
About DiligenceSquared
DiligenceSquared is the AI-native consulting firm. We deliver investment-grade market research and commercial due diligence, powered by AI agents and led by experienced consultants. Our founding team brings deep experience from Blackstone and BCG, and we're backed by Y Combinator and Relentless. Our clients include 5 of the 10 largest private equity firms in the world and represent more than $3T in combined AUM.
What you will do:
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)
Architect scalable backend services with complex async processing and background task orchestration
Apply learnings from each project into the product, so we're 1% better everyday (Law of Compounding is real. After all, we are founded by investment professionals)
Qualifications:
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
Experience with background task orchestration and async processing workflows
Bonus:
Experience with Anthropic Claude API and Agent SDK
Familiarity with agent orchestration frameworks
Background in AI/ML systems or voice AI
Familiarity with vector databases and semantic search (pg_vector, etc.)
Experience with Supabase or similar Backend-as-a-Service platforms
Previous startup experience
Who you are:
Obsess over system design and think deeply about technical trade-offs
Take pride in your code and want to work with others who do the same
Act with Urgency so we can empower you with Agency
Pay high attention to detail and are curious about how great products work
Feel discomfort when things don't move as fast as you feel they should
Skills Required
- 3+ years of professional Python backend experience
- Strong expertise building production APIs
- Experience building agentic systems with LLM platforms
- Deep hands-on experience with LLMs in production
- Experience with PostgreSQL and SQL database design
- Understanding of async programming, job queues, and distributed systems
- Experience with background task orchestration
What We Do
At DiligenceSquared, we enable leading investors and corporates to make critical investment decisions with confidence through AI-powered market research and commercial due diligence. Our platform uses a network of AI agents to conduct expert interviews, synthesize insights, and produce fully auditable reports.
