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Capsa AI

AI operating system for private capital

Senior AI Engineer

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

About the Job

Requirements

  • Five or more years building production backend systems at a venture-backed startup or top technology firm, owning AI-powered services and systems end to end.
  • Experience taking agents, retrieval systems, or large language model features from ideation to production, with demonstrated evaluation results and adoption.
  • Expertise with Python, large language models, agents, retrieval and search, including OpenSearch, evaluations, FastAPI, PostgreSQL, and RabbitMQ.
  • TypeScript and React familiarity is a plus.
  • Ability to investigate product problems deeply and focus on user outcomes.
  • Ability to work effectively in a fast-moving environment.
  • Take responsibility for delivered work and its impact on customers and the team.
  • Think deeply about problems and code, using AI to enhance rather than outsource thinking.
  • Make progress despite limited time and incomplete information, and adjust as new information emerges.

Responsibilities

  • Design, ship, and improve AI agents that research companies, analyze documents, author outputs, and cite claims.
  • Own agent capabilities end to end, including harness internals and evaluations, making design decisions, shipping systems, and operating them.
  • Build AI systems at the heart of a platform used by private equity firms to run investment processes.
  • Build and improve agent harnesses, tools, retrieval, evaluations, and supporting infrastructure.
  • Develop and operate systems that turn prototypes into reliable tools for professional investment decisions.

Desired Qualifications

  • Familiarity with TypeScript and React.

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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