Responsibilities
- Own the end-to-end development lifecycle for new platform capabilities and integrations with other systems.
- Design, build, and operate services, APIs, and data pipelines that are reliable, observable, and secure by default.
- Collaborate closely with product, research, operations, and external partners to understand problems and implement effective solutions.
- Work with the research team to support and operationalize next-generation models and agents.
- Take on cross-cutting projects as they arise — from trading and treasury infra to internal tools, developer APIs, and community-facing products.
- Design and build a dashboard system to visualize portfolio performance, NAV, PnL, and risk metrics. for tracking portfolio NAV, exposures, and key financial metrics
Requirements
- 3–5+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies.
- Proficiency in one or more backend languages (Python, TypeScript, Go, Rust, or similar) and distributed systems concepts.
- Interest in AI. Direct experience is not required.
- Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines.
- Strong product sense. You can take a loosely defined problem, talk to stakeholders, and come back with a scoped solution. not just a ticket list.
- Fluent with AI coding tools. You've shipped real code with Claude Code, Cursor, or similar, and have opinions on how to get the most out of them, prompting, context, verification, and knowing where they break down.
Nice to Have
- Former founder, or early engineer at a startup who has built a product from scratch, is a plus.
