Software Engineer - AI Agents

About the role

ABOUT LIVEFLOW

LiveFlow is building the next-generation accounting and finance platform - enabling lean finance teams to run massive enterprises.

We’ve raised over $21M from top-tier investors including YC, YC Continuity, Valar, Seedcamp, WndrCo, Moonfire, and Bradley Horowitz (VP Product, Google).

Today, thousands of companies rely on LiveFlow to streamline their financial workflows, with hundreds of 5/5 ratings on G2.

Our founding team previously worked at Revolut, one of Europe’s fastest-growing fintechs.

WHY JOIN US

At LiveFlow, we expect more from engineers than writing and reading code. You’ll work closely with customers and help shape the product to solve their problems.

We’re looking for people who are not only comfortable with uncertainty, but actively thrive in it. You should want to ship unreasonably fast and iterate rapidly. You should challenge assumptions, solve from first principles, and take great pride in building features that customers love.

You’ll work as closely with a team of talented engineers as you will with product and design. You’ll quickly accrue autonomy and responsibility.

THE ROLE

We’re hiring Software Engineers to build AI agents that power the next generation of LiveFlow.

This is a full-stack role at its core, with a strong focus on designing and developing agent-driven systems embedded deeply and throughout the product.

We’re not just slapping on a chatbox and calling it AI-native, we’re building a system of collaborating agents, with precision tools and robust auditability, giving our users superpowers they can deploy with confidence. We’re reimaging how finance teams will operate.

WHAT YOU’LL WORK ON

- Understanding customer workflows, use-cases and jobs to be done

- Building AI agents to simplify and eliminate tedious and error-prone tasks

- Developing the realtime platform for finance teams to work together and with agents

- Designing and scaling APIs and CLI to enable interoperability

- Contributing to compounding engineering practices that enable our team to operate more efficiently and effectively

- Ensuring high standards of data security, reliability, and compliance

HOW WE USE AI

In Engineering:

- We offer unlimited budget to use and explore the latest coding tools

- You can work with whatever agents and environment you prefer, locally or in the cloud

- We employ the principles of compound engineering, expecting everybody to invest in bettering the agentic coding environment, through docs, skills, tools and MCP

- We use Linear to spec our work, Graphite for stacked PRs and better review UX, Cubic for assisted code review, Blacksmith to run our CI/CD

In the Product:

- Anything a user can do, an agent should be able to do – through tool calls, APIs and CLI