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Capsa AI

AI operating system for private capital

Senior Fullstack Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UK

About the Job

Requirements

  • At least four years of experience building production software at a venture-backed startup or top technology firm, including end-to-end feature ownership.
  • Experience shipping entire products or features from ideation to production and being able to discuss their impact.
  • Expertise with Python, TypeScript, React, FastAPI, Postgres, OpenSearch, RabbitMQ, Kafka, large language models, and agents.
  • Curiosity about the product domain and the ability to understand users’ problems.
  • Ability to work effectively in a fast-moving environment.

Responsibilities

  • Own product features from ideation through production and measure their impact.
  • Work across all layers of the application to deliver value for customers.
  • Maintain the quality of the codebase and identify ways to increase development speed.
  • Own product surfaces end to end, make architecture decisions, ship the resulting work, and operate it.
  • Take responsibility for delivered work and ensure it positively affects customers and the team.
  • Think carefully about problems and code submissions, using artificial intelligence to enhance rather than replace independent thinking.
  • Make progress despite limited time or incomplete information and adjust as new information emerges.

About the Company

Capsa AI

AI operating system for private capital

Capsa AI provides an AI operating system for private capital, unifying a fund’s CRM, email, file storage, and private deal data into a single knowledge layer to support sourcing, due diligence, and monitoring of investments through agentic workflows. It works by connecting data from CRM systems, Outlook, SharePoint, and proprietary sources into one accessible layer; it is model-agnostic and offers single-tenant or regional hosting with SOC 2 Type II certification and no training on client data. The company differentiates itself by targeting private-capital workflows with centralized data, strong security options, and a no-training-on-client-data policy, plus compatibility with multiple AI models. Its goal is to streamline and automate core private-capital processes—sourcing, diligence, and portfolio monitoring—through integrated data and automated workflows, supporting US expansion and growth in engineering and go-to-market efforts.

Company size
11-50
Company stage
Series A
Total funding
$20.4M
Headquarters
London, United Kingdom
Founded
2023

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