Full-Stack AI Platform Engineer — End-to-End Impact

DiligenceSquared (YC F25); New York (NY); On-site; USD 160,000 - 200,000; Full time

Job summary

DiligenceSquared is seeking a Software Engineer to own end-to-end features for our next-generation AI platform used in market due diligence by PE funds, hedge funds, and corporate M&A teams. You will bridge backend AI systems with polished frontend interfaces, enabling investment professionals to make high-stakes decisions.

Required are 3+ years in full-stack development, React/TypeScript and Python expertise, and hands-on experience with LLM-powered architectures.

Qualifications

• 3+ years of professional full-stack development experience.
• Strong proficiency in React/TypeScript and Python.
• 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.
• Experience with modern frontend architecture, state management, and API design.
• Track record of shipping user-facing products end-to-end.

Responsibilities

• Build new product features and experiences end-to-end, from database models to API endpoints, and integrate them with UI components for our Web App and AI Voice Agent application.
• Design and build new AI-powered modules (e.g., market sizing, competitive analysis) that become core capabilities of our research platform.
• Build and own product foundations across the stack (AI agent orchestration, voice AI pipelines, interactive data visualization, app and API performance, intelligent automations).
• Apply learnings from each project into the product to drive continuous improvement.

Skills

React

TypeScript

Python

LLM platforms

Agentic systems

PostgreSQL

Tools

Next.js

FastAPI

Anthropic Claude API

Agent SDK

Supabase

Job description

DiligenceSquared is seeking a Software Engineer to own end-to-end features for our next-generation AI platform used in market due diligence by PE funds, hedge funds, and corporate M&A teams. You will bridge backend AI systems with polished frontend interfaces, enabling investment professionals to make high-stakes decisions.

Required are 3+ years in full-stack development, React/TypeScript and Python expertise, and hands-on experience with LLM-powered architectures.