- Employment
- Full-time
About the role
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.
About 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.
About you and your background:
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
Advantages:
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
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