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DiligenceSquared

AI-powered due diligence for investments

Backend Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$160k - $200k /yrIn-person

About the Job

Requirements

  • At least 3 years of professional Python backend experience.
  • Strong expertise building production APIs with FastAPI, Django, or similar frameworks.
  • Experience building agentic systems with large language model platforms such as Anthropic or OpenAI.
  • Deep hands-on experience with large language models in production, building reliable agentic systems rather than only making API calls.
  • Experience with PostgreSQL and SQL database design.
  • Understanding of asynchronous programming, job queues, and distributed systems.
  • Experience with background task orchestration and asynchronous processing workflows.

Responsibilities

  • Build new product features and experiences end-to-end, from database models to API endpoints, and integrate them with user interface components for the web and AI Voice Agent Application.
  • Design and build new AI-powered modules from scratch, such as market sizing and competitive analysis, as core capabilities of the research platform.
  • Build and own product foundations, including AI agent orchestration, voice AI pipelines, application and API performance, and intelligent automations.
  • Architect scalable backend services with complex asynchronous processing and background task orchestration.
  • Apply learnings from each project to improve the product continuously.

Desired Qualifications

  • Experience with the Anthropic Claude API and Agent SDK.
  • Familiarity with agent orchestration frameworks.
  • Background in artificial intelligence/machine learning systems or voice AI.
  • Familiarity with vector databases and semantic search, such as pg_vector.
  • Experience with Supabase or similar Backend-as-a-Service platforms.
  • Previous startup experience.

About the Company

DiligenceSquared

AI-powered due diligence for investments

DiligenceSquared offers an AI-native platform that automates commercial due diligence and market research for investment teams, including private equity, hedge funds, and corporates. It uses a network of AI voice agents to conduct hundreds of expert interviews in multiple languages for a deal and then automatically builds structured findings with fully auditable reports that link conclusions to source transcripts. Human project leads with top consulting backgrounds oversee the process to guarantee quality. The platform aims to reduce time and cost compared with traditional high-cost consulting, while maintaining decision-grade insights, and to expand adoption among asset managers and corporate development teams.

Company size
11-50
Company stage
Seed
Total funding
$5.1M
Headquarters
New York City, New York
Founded
2025

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