Mountain View, CA (Hybrid - 3 days onsite)
The RoleWe'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 AIIn 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
