Graduate Engineer - AI Agents

About the role

San Francisco, CA (Hybrid - 3 days onsite)

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

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

Additional information

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