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
