Original listing text, shown exactly as published by the company.
Who You Are
- 2-4 years of experience building and shipping production software, full-stack or backend-leaning.
- Comfort across a modern web stack (TypeScript, React, Node.js). Python is a plus, especially for AI work.
- AI-native: you build with AI by default (LLM APIs, agentic workflows, AI coding tools) and are comfortable shipping AI-powered features.
- Strong problem-solving skills and a builder's instinct, with a keen attention to detail.
- Excellent communication skills, with the ability to explain technical tradeoffs to engineers, founders, and non-technical stakeholders alike.
- Comfort working directly with clients, and an eagerness to learn and adapt in a fast-moving environment.
- Some exposure to fintech or financial products, or a genuine interest in the domain, with an awareness of why security and compliance matter when handling financial data.
What You’ll Do
- Embed with client teams to understand their users and their challenges, then build and extend their product to meet real needs.
- Develop custom solutions and integrations that solve concrete client problems.
- Translate what you learn from users into clear, actionable feedback for the client's product and engineering teams.
- Build and maintain integrations with the services fintech products depend on: payment processors, banking partners, and financial data providers
- Build full-stack features that are increasingly AI-powered (LLM-driven workflows, agentic features, and the product around them), using AI across your own workflow to ship faster while keeping quality high.
- Support client teams with onboarding, documentation, and training on what you build, so it holds up after you roll off.
- Build strong, trust-based relationships with client teams, acting as a technical partner and advocate, not just a contractor.
Nice to Have:The following would be a bonus experience to have, though highlight any additional experience or skills you may have. We like working with people with varied backgrounds and experiences.
- AI-powered features that map well to fintech: document extraction (for KYC or statements), transaction categorization, support chatbots, search, or data normalization.
- Creating MCP servers, or building deeper agentic tooling and testing infrastructure for agentic applications.
- Background in fintech, regulated financial services, or experience with RegTech and compliance automation tools.
- Experience with payment, banking, or financial data integrations.
- Relevant open-source contributions or technical publications.
AI in our hiring process
We use AI to help us review and shortlist applications based on job-related criteria. A human hiring manager always makes the call on who moves forward. As a company that builds with AI every day, we're all for candidates using it too — just be upfront about how it helped.
