Graduate Engineer - AI Agents

San Francisco, CA (Hybrid – 3 days onsite) 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 This is not a typical graduate role. At LiveFlow, you’ll contribute to real product features from day one and see your work shipped to customers quickly. We’re looking for engineers who are curious, ambitious and want to accelerate their growth in a fast-moving environment. You should be excited by early ownership and building things that matter. You’ll work closely with experienced engineers as well as product and design, and quickly build both technical depth and product intuition. The Role We’re hiring Graduate Engineers to help build AI agents that power the next generation of LiveFlow. This is a full-stack role at its core, with exposure to designing and developing agent-driven systems embedded throughout the product. You don’t need prior industry experience - but you do need strong fundamentals, high curiosity, and the ability to learn quickly. What You’ll Work On Learning how finance teams operate and identifying opportunities to improve their workflows

Building product features across the stack alongside experienced engineers

Contributing to AI agent workflows that simplify and automate complex tasks

Developing APIs and systems that power our core platform

Improving internal tooling and engineering workflows

Writing clean, maintainable code and learning best practices in production systems

Supporting high standards of data security, reliability, and performance

How We Use AI In Engineering: You’ll have access to the latest AI coding tools (e.g. Cursor, Claude)

We encourage experimentation with agentic workflows and developer tooling

You’ll learn how to operate in an AI-assisted engineering environment

We value engineers who think about how to build faster and more effectively

In the Product: We’re building deeply integrated AI systems - not surface-level features

Agents can take actions across the platform via tools, APIs, and workflows

Accuracy, auditability, and security are non-negotiable

Speed, efficiency, and simplicity are core to our product philosophy

Our Stack Backend: Elixir / Phoenix

Frontend: Next.js, TypeScript

Infrastructure: AWS, Terraform

We don’t expect experience in everything. If you’ve worked with any modern languages or frameworks, you’ll ramp quickly. What We’re Looking For Strong software engineering fundamentals

Recent graduate or early-career engineer (0–2 years experience)

Evidence of building things (projects, internships, open-source, etc.)

Curiosity about AI, LLMs, or modern developer tools

Product mindset - you care about users and outcomes

Ability to operate in a fast-paced environment with ambiguity

High ownership and willingness to learn quickly

Nice to Have (Not Required) Experience with any backend or frontend frameworks

Exposure to AI tools, LLMs, or workflow automation

Side projects or experimentation with new technologies

Perks & Benefits Competitive salary + equity

Health insurance

Pension plan

Latest tech (MacBook, monitors, etc.)

Learning budget (books, courses, conferences)

Unlimited vacation

Interview Process Loom Video Submission

Screen Call

Technical interview

Culture Fit Interview

Founder interview