About the RoleThis is a high-autonomy engineering role at the intersection of AI and financial infrastructure. You'll design and ship core systems for agentic payments end-to-end, working across the full stack - backend, integrations, platform, and beyond. You'll operate as a true owner, making real technical tradeoffs and shaping product direction alongside the founding team, with AI tools embedded throughout the workflow.
What you will doYou'll build core infrastructure and product systems for agentic payments, designing and shipping new capabilities from the ground up. The work spans backend, integrations, platform, and internal systems - moving wherever the problem is. You'll operate with high autonomy, make strong technical trade-offs, and help scale systems to improve reliability and performance, all while partnering closely with the founding team on product and engineering direction. AI tools are a first-class part of the workflow here.
Responsibilities- Own end-to-end delivery of systems - from design to production - with minimal direction
- Make pragmatic architectural decisions in ambiguous, fast-moving contexts
- Move across the stack as priorities shift, without waiting for perfect structure
- Contribute to product and engineering direction alongside the founding team
- Scale systems thoughtfully for reliability, performance, and operational speed
Requirements- Strong software engineering fundamentals and coding ability
- High agency and strong product/ownership mindset
- Systems thinker who can work through ambiguity
- Comfortable moving across different parts of the stack
- Bias toward shipping and making pragmatic decisions
- Actively uses AI-native development tools in their workflow
- Excited by fast-moving, high-intensity startup environments
Nice to have- Experience at high-growth startups
- Experience building infrastructure, platform, or developer tools
- Familiarity with AI/ML systems, inference, or agent workflows
- Experience with payments, APIs, or distributed systems
- Experience in highly autonomous engineering teams
