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
• You've built and shipped agentic or LLM-based software to production, such as an agent, an assistant, or a chat product, and you've been the one running it. You've debugged failures in real conversations and kept cost and latency in check as usage and models changed.
• You've designed the agent itself: tools and skills, context and prompt engineering, state, streaming, and the agent loop. You know at least one agent framework or runtime well and can say where it works and where it doesn't.
• You improve these systems with evidence. Evals, regression sets, tracing, and feedback from real usage tell you whether a change helped, and you use them to decide what to do next.
• You keep up with what the foundation labs and the wider community are learning about building agents. You try new techniques early and judge which ones make our product better and are worth adopting now, and which should wait.
• You take part in deciding what we build. You read the data, talk to customers, and push for what you think matters most.

Our Tech Stack

We work in a TypeScript monorepo: React and Tailwind on the front end, tRPC, Node.js, MongoDB, and Temporal on the back end. It runs on GCP with Kubernetes, managed through Terraform. The agent is currently built on the Vercel AI SDK, and we run an MCP server alongside it.

You don't need to know all of it, but hands-on experience building with LLMs is strongly preferred.

What Your Journey Could Look Like

First day: Get the app running locally and make your first commit. Your onboarding buddy helps you get there.

First week:

• Meet the engineers, product managers, and designers you'll work with.
• Learn the agent end to end: its tools, skills, MCP surface, and how we evaluate it.
• Ship a few smaller features.

First month:

• Meet the wider engineering team and learn how Ledgy works and how customers use it today. This is the background you'll use for decisions later.
• Make larger contributions and take a bigger part in code reviews.

First 3 months:

• Drive part of a larger piece of work, such as process, tooling, a new product, or new functionality.
• Work with Product and Design to prove and deepen the value AI adds to the product.
• Take part in architecture and long-term decisions.

After the first 3 months:

• Take a bigger role in shaping where the team is heading. Own key parts of our AI platform and decide where we can add the most value for customers.
• Mentor other engineers and raise the bar. Help teams across Ledgy add AI to what they build, whether that means advising, reviewing, or working alongside them.
• Help shape Ledgy's technical direction, for AI and for everything else we build.

The interview process:

• Getting to know you (45 min): Meet with someone from our people team to talk about your experience and to ask questions about the role
• Live Coding (60 min): An equity domain problem to solve collaboratively using your preferred language and IDE. We want to see how you think, so this step does not allow AI. But you can freely look up syntax questions if you need to.
• System Design (60 min): A system design session where you will design an architecture for a problem from the Ledgy domain using a visual tool of your choice
• Behavioural (45 min): Answer behavioural style questions about your experience, using the STAR method - with a PM and EM.
• Culture Interview: A chance to meet one of our founders and your hiring manager for a 30-minute chat about Ledgy's mission and values
• Offer 🎉

Being part of Ledgy means:

• Recharge and re-energize with flexible working hours, 25 days of vacation, and up to 40 days of remote work from outside your home country.
• We make space for your own professional development, with a generous yearly learning & development budget.
• This role will receive a competitive salary + benefits + equity. All salaries are aligned with competitively benchmarked ranges based on work location and levelling.
• For candidates based in London we use a hybrid work model of 2 days in the office per week.