Engineer - Backend New York City · Full-time

DiligenceSquared Inc.

New York (NY)

Hybride

USD 120 000 - 180 000

Plein temps

14 jours+

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Résumé du poste

DiligenceSquared is seeking a Software Engineer with deep backend expertise to build the next-gen AI-powered market due diligence platform. You will architect a scalable backend and AI agent orchestration for autonomous research and voice AI pipelines used by investment professionals.

Your work will span from database models to API endpoints, creating core capabilities like market sizing, competitive analysis, and intelligent automations.

Qualifications

  • 3+ years of professional Python backend experience.
  • Strong API design with FastAPI or Django.
  • Experience building agentic systems with LLM platforms.
  • Production experience with LLMs.
  • PostgreSQL database design expertise.
  • Understanding async programming and background tasks.
  • Experience with distributed systems.

Responsabilités

  • Build features end-to-end from database models to API endpoints and integrating 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).

Connaissances

Python
API design
LLM platforms
PostgreSQL
Async programming
Distributed systems
Background tasks

Outils

FastAPI
Django
OpenAI API
Anthropic API

Description du poste

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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