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Engineer - Backend

DiligenceSquaredSoftware
Pay
$160K–$200K
per year
Work mode
On-site
Full Time
Experience
3+ yrs
Mid

New York City, NY at a glance

Rent
#3 of 51
$4,100/mo+44% vs US avg
Weather
#21 of 51
186 mild days15 hot · 77 cold
Income tax
#3 of 51
10.9% top rateNew York

What you need

  • 3+ yrs Python backend experience
  • Production API expertise (FastAPI/Django)
  • Building agentic systems with LLM platforms
  • Deep hands-on LLM production experience
  • PostgreSQL and SQL database design

What you'll do

  • Build end-to-end product features (DB to API to UI)
  • Design and build AI-powered modules (market sizing, competitive analysis)
  • Own product foundations: AI agent orchestration, voice AI pipelines
  • Architect scalable backend services with async processing
  • Continuously improve product through iterative learnings

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

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About DiligenceSquared

AI-powered market due diligence for investment decisions

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