🌎 San Francisco (Hybrid)
💼 Founding / Staff Engineer
💵 $200-300k base
Our client is an AI-native research and product lab on a mission to redefine how global finance operates . Backed by a team that includes former Google DeepMind researchers and engineers , they are applying frontier AI to some of the most complex, high-stakes problems in finance.
This is a true founding engineer opportunity. You’ll help turn cutting-edge AI research into production systems used by real financial institutions , while shaping the technical foundation, standards, and culture from the ground up.
What you’ll do
- Build core product features end-to-end , spanning frontend, backend, and infrastructure using TypeScript, React, and Node.js.
- Productionize frontier ML research , working closely with researchers to ship robust, user-facing AI systems.
- Design and own critical services , architecting reliable, scalable infrastructure with Docker and Kubernetes.
- Set the engineering bar as a founding team member—establishing standards for code quality, testing, and development workflows.
- Prototype rapidly, ship decisively, and iterate continuously , collaborating closely with product managers, designers, and researchers.
- Make thoughtful architectural decisions, including rewriting systems when it meaningfully improves long-term quality and simplicity .
The ideal candidate :
Have built polished, high-performance web applications end-to-end, from design through production deployment.Are deeply fluent in modern frontend development , including TypeScript, React, Tailwind, and Next.js.Can comfortably design and evolve backend microservices (Node.js or Python) to deliver features end-to-end.Are an expert in at least one statically typed language and have strong instincts around type safety, maintainability, and correctness.Have experience deploying production systems with Docker and Kubernetes on GCPUse AI as a productivity multiplier—but critically evaluate AI-generated code , catching bugs and calling out poor design.Thrive in a high-performance, high-ownership environment alongside other strong engineers.Enjoy tackling technically deep, ambiguous problems and thinking carefully about product tradeoffs.Nice to have :
Experience working with ML or applied research teams , or familiarity with ML pipelines.Background in fintech, trading, quant platforms, or other high-stakes domains .Prior experience as an early-stage or founding engineer .