LEDGE'S MISSION is to reinvent how finance teams work by building AI agents that actually do the work, not just automate it. We began with an industry-leading reconciliation platform used by top finance teams. We are now broadening our scope to develop a completely AI-native close management solution, built upon our strong existing platform that is already competitive with leading industry offerings. Our agents autonomously prepare, reconcile, validate, and manage the close end-to-end with finance-grade accuracy and transparency. We’re designing new tools for the Office of the CFO: a scalable, trustworthy data pipeline combined with autonomous AI workflows and a clean, consumer-grade experience. As an AI-first engineering organization, we use modern microservices, full IaC, and advanced AI coding and development tooling to move fast and build real autonomy into the finance workflow. THE ROLE AI Engineers at Ledge take true end-to-end ownership from scoping agent behaviors and designing model-driven architectures to deploying and monitoring production AI systems. You’ll help evolve our reconciliation engine and build the next generation of AI agents powering the automated financial close, solving deep technical, data, and product challenges in partnership with accounting and finance experts. WHAT WE ARE LOOKING FOR - Experience building or orchestrating AI agents - Background in model evaluation, prompt engineering, or autonomous workflow design - You thrive in a fast-paced startup environment and are willing to work hard to achieve ambitious goals - You have a get-things-done attitude and deliver high-quality work quickly - You have 5+ years of software engineering experience, including building or integrating AI systems - You are a proactive team player motivated to impact the team, the product, and the customers - You have strong fundamentals in distributed systems, data flows, and cloud/web architectures - You are an independent, fast learner excited about mastering new AI technologies and tooling NICE TO HAVE - Experience with payments, accounting, or finance - Experience working on AI-first teams or with LLM-based systems - Experience developing high-performance, real-time, customer-facing applications - Experience with typescript and nodeJs