Engineer - Backend

About the 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.

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:

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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

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Design and build new AI-powered modules from scratch (e.g., market sizing, competitive analysis) that become core capabilities of our research platform

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Build and own product foundations (AI agent orchestration, voice AI pipelines, app and API performance, intelligent automations)

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Architect scalable backend services with complex async processing and background task orchestration

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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:

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3+ years of professional Python backend experience

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Strong expertise building production APIs (FastAPI, Django, or similar)

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Experience building agentic systems with LLM platforms (Anthropic, OpenAI, or similar)

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Deep hands-on experience with LLMs in production - building reliable agentic systems, not just API calls

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Experience with PostgreSQL and SQL database design

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Understanding of async programming, job queues, and distributed systems

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Experience with background task orchestration and async processing workflows

Bonus:

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Experience with Anthropic Claude API and Agent SDK

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Familiarity with agent orchestration frameworks

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Background in AI/ML systems or voice AI

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Familiarity with vector databases and semantic search (pg_vector, etc.)

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Experience with Supabase or similar Backend-as-a-Service platforms

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Previous startup experience

Who you are: