AI Software Engineer (Senior or Staff)
Ledgy
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At Ledgy, we’re on a mission to make Europe a powerhouse of entrepreneurship by building a modern, tech-driven equity management and financial reporting platform for private and public companies. In 2026, we aim to be the leading provider for European IPOs and reporting for share-based payments. We are a value-based company with a core focus on being humble, transparent, ambitious and impactful, all in order to delivery the best experience for our customers and end users. We are proud to partner with some of the world’s leading investors. New Enterprise Associates led our $22m Series B round in 2022, with Philip Chopin joining Sequoia’s Luciana Lixandru on our board. We were founded in Switzerland in 2017 and today we operate globally from offices in Zurich and London. We encourage diversity and are an international team coming from 26 different countries and speaking 25 different languages. About the Role As a Software Engineer on our AI Systems team, you'll build the AI foundations and product experiences of Ledgy: the Ledgy Agent, the tools and skills it runs on, our MCP server, and the platform capabilities that let other teams embed AI safely in their domains. You'll collaborate with fellow engineers, product managers, and designers in a new and fast-moving product area where correctness matters as much as speed - our customers need equity data they can trust. Location: We hire remotely across the UK, Spain, Germany, Poland, and Romania. For candidates based in London, we use a hybrid model with 2 days in the office per week. The team you'll join: AI Systems - Develops Ledgy's AI foundations and product experiences, from AI agents and AI-assisted workflows to the platform capabilities that help other teams embed AI safely in their domains. The team works in a new and evolving product area, balancing rapid iteration with reliable execution, evaluation tooling, and responsible automation. What You'll Work On Help build the future of how companies manage equity. Ledgy Agent. You'll design and build the system behind our in-app agent, so equity administrators can do through AI what they do manually in the app today. Ledgy Agent takes real actions and runs real analysis on live equity data, like onboarding a stakeholder end to end, and administrators depend on its accuracy and observability. You'll design the tools, skills, context, and orchestration behind it, and how it decides to handle each request. Ledgy MCP. Not everyone wants to open Ledgy to get things done. Our MCP server lets customers bring equity into the AI agents and tools they already use. You'll shape it alongside the in-app agent, so a capability built once works in both places, and you'll decide what we expose and how we keep it safe. Measuring and improving the agent. You'll design and build the system we use to measure the agent's quality and learn from how customers use it: evaluations, tracing, and feedback from real conversations. You decide what "good" means for customers, how we measure it, and how what we learn changes what we build next. Scaling. The Ledgy web application, the agent, MCP, and surfaces we haven't built yet all need the same capabilities. You'll design the foundations that let us build AI features once and reuse them everywhere, and that let other teams add AI to their domains without compromising correctness. You'll also design how it runs as usage grows: the backend infrastructure, cost, and latency behind the agent and MCP, and how we keep them reliable and observable. You'll own real parts of this and have a say in where we invest. You'll also spend time with customers to see how administrators actually use the agent, and use that to decide what to build next. You'll Thrive in This Role If You Don't worry if you don't tick every box. These are the things that would make you an especially good fit. You have 5+ years of experience working as a Software Engineer, with strong TypeScript/Node fundamentals across back end and front end…
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