Software Engineer - AI Agents

LiveFlow•New York, NY

About The Position

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 You’ll help shape not just the product - but how we build it. We’re a team that values ownership, speed, and thoughtful iteration. We’re looking for people who ask great questions, challenge assumptions, and care deeply about building something customers genuinely love. You’ll work closely with product, design, and customers, operating with a high degree of autonomy - while contributing to a culture that’s collaborative, ambitious, and constantly evolving. The Role 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. What You’ll Work On 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 How We Use AI 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 We don’t expect experience in everything. 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. What We’re Looking For Strong software engineering fundamentals (frontend, backend, or full-stack) Experience building or experimenting with AI agents, LLM-powered systems, or workflow automation (or strong interest in doing so) Product mindset - you care about users and outcomes, not just implementation Ability to operate in fast-paced, ambiguous environments High ownership and willingness to wear multiple hats Strong intuition for when to follow best practices - and when to rethink them Perks & Benefits Competitive salary + equity Health insurance Pension plan Latest tech (MacBook, monitors, etc.) Learning budget (books, courses, conferences) Unlimited vacation Interview Process Intro call Technical assessment Technical interview Career history interview Founder interview

Requirements

Strong software engineering fundamentals (frontend, backend, or full-stack)
Experience building or experimenting with AI agents, LLM-powered systems, or workflow automation (or strong interest in doing so)
Product mindset - you care about users and outcomes, not just implementation
Ability to operate in fast-paced, ambiguous environments
High ownership and willingness to wear multiple hats
Strong intuition for when to follow best practices - and when to rethink them