Startup Opportunities We’re Hiring For

Help build an AI-native radiology reporting platform already live in clinical workflows. Fullstack engineers ship core product experiences end-to-end, while MLOps engineers own model deployment, evaluation, and production pipelines—both roles sit right at the intersection of research, product, and real patient impact.

Own the infrastructure backbone for a fast-growing EdTech startup serving real, regulated customers. You’ll design and scale cloud infrastructure, CI/CD, and reliability systems, working closely with product engineers to keep the platform fast, secure, and resilient as usage ramps.

Build end-to-end product features for a profitable, bootstrapped AI company used by top consulting and PE firms. You’ll own frontend + backend systems powering LLM-driven research workflows, shipping fast in a senior, low-ego team where product and engineering are tightly coupled.