Full Stack Software Engineer
About the job
- At least 3 years of professional full-stack development experience.
- Strong proficiency in React, TypeScript, and Python.
- Experience building agentic systems with LLM platforms such as Anthropic or OpenAI.
- Hands-on production experience with LLMs, including building reliable agentic systems rather than only making API calls.
- Experience with PostgreSQL and SQL database design.
- Experience with modern frontend architecture, state management, and API design.
- A track record of shipping user-facing products end-to-end.
- Build product features and experiences end-to-end, from database models and API endpoints to integration with UI components for the web app and AI voice agent application.
- Design and build new AI-powered modules, such as market sizing and competitive analysis, as core capabilities of the research platform.
- Build and own product foundations across the stack, including AI agent orchestration, voice AI pipelines, interactive data visualization, app and API performance, and intelligent automations.
- Apply learnings from each project to improve the product.
- Experience with Next.js and FastAPI.
- Experience with the Anthropic Claude API and Agent SDK.
- Familiarity with agent orchestration frameworks.
- Background building interfaces for AI/ML products or data-intensive applications.
- Familiarity with vector databases and semantic search.
- Experience with Supabase.
- Previous startup experience.
About the company
DiligenceSquared provides an AI-native platform that automates commercial due diligence and market research for investment teams, including private equity firms, hedge funds, and corporate clients. It uses a network of AI voice agents to conduct hundreds of expert interviews in multiple languages for a given deal and automatically synthesizes the data into structured findings with fully auditable reports linked to original transcripts. Human project leads with top consulting backgrounds review the process to ensure high-quality outputs, pairing automated insights with professional oversight. The goal is to reduce time and cost of due diligence compared with traditional high-cost consulting while expanding 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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Simplify's Take
What believers are saying
- DiligenceSquared raised $5 million from RELENTLESS and Y Combinator on March 6, 2026.
- Since October 2025, it served clients managing over $2 trillion AUM.
- Private equity firms pay McKinsey and Bain $500,000 to $1 million per engagement.
What critics are saying
- Bridgetown Research raised $19 million in February 2026, dwarfing DiligenceSquared's war chest.
- McKinsey, Bain, Third Bridge, AlphaSense, and Tegus already crowd the diligence stack.
- If auditability fails once, PE buyers revert to consultants and DiligenceSquared becomes unusable.
What makes DiligenceSquared unique
- Blackstone, BCG, and Google alumni built DiligenceSquared for diligence workflows.
- Its AI voice agents run multilingual expert interviews and trace every conclusion to transcripts.
- Human consulting review preserves institutional credibility for PE buyers.
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Benefits
- Company Equity