Job Description

Mountain View, 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 won’t be working on isolated tickets or internal-only projects. 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, steep learning curves, 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