Software Engineer (AI Agents)
Posted Updated
- We’re hiring Software Engineers to build AI agents that power the next generation of LiveFlow
- This is a full-stack role at its core - but with a strong focus on designing and developing agent-driven systems that are embedded directly into the product
- You’ll work on AI-powered features, thinking deeply about how agents behave, interact with financial data, and deliver reliable, high-impact outcomes for users
- This isn’t about bolting AI onto existing workflows - it’s about reimagining how financial software operates with AI at its core
- Building AI agents that are deeply integrated into the product
- Designing systems that combine LLMs, workflows, and structured financial data
- Developing a real-time, collaborative financial workspace
- Designing and scaling APIs and backend systems
- Integrating with multiple financial data providers
- Crafting simple, intuitive abstractions for complex financial workflows
- Ensuring high standards of data security, reliability, and compliance
- In Engineering:
- We experiment aggressively with tools like Cursor, Claude, and PR-based AI agents
- We’re investing in Claude skills, sub-agents, and custom command workflows
- Engineers are encouraged to bring their own tools, test new approaches, and share what works
- We optimize for speed, leverage, and iteration, not rigid processes
- In the Product:
- We’re building AI features that are deeply embedded into financial workflows
- Focus is on accuracy, usefulness, and real customer impact
- We care about outcomes over hype - everything we ship needs to work in production
- Our Stack
- Backend: Elixir / Phoenix
- Frontend: Next.js, TypeScript
- Infrastructure: AWS, Terraform
- If you’ve worked with functional languages, frameworks like Rails/Django, or modern frontend stacks, you’ll ramp quickly. What matters most is your ability to learn, adapt, and build
- Experience building or experimenting with AI agents, LLM-powered systems, or workflow automation (or strong interest in doing so)
- Ability to operate in fast-paced, ambiguous environments
- Strong software engineering fundamentals (frontend, backend, or full-stack)
- Product mindset - you care about users and outcomes, not just implementation
- Strong intuition for when to follow best practices - and when to rethink them
- High ownership and willingness to wear multiple hats
- Intro call
- Technical assessment
- Technical interview
- Career history interview
- Founder interview