• Lead the design and development of scalable backend systems, APIs, and platform services that power treatment recommendations and personalization. • Architect and build the infrastructure that enables experimentation, recommendation engines, and AI-powered healthcare experiences • Partner with Machine Learning engineers to productionize models and integrate intelligent decisioning into customer and provider workflows • Design and implement highly reliable, observable, and maintainable distributed systems • Drive platform investments including self-service tooling, testing infrastructure, unified decisioning frameworks, and data pipelines • Collaborate with vertical engineering teams to establish reusable patterns, frameworks, and best practices that enable independent innovation • Evaluate and integrate emerging AI and LLM technologies where they can improve provider efficiency, patient outcomes, or operational scale • Lead complex technical initiatives that span multiple teams and systems • Mentor engineers and provide technical leadership through design reviews, architecture discussions, and hands-on implementation • Influence the long-term technical direction of the MedMatch platform and broader AI ecosystem

• Design and operate production TypeScript APIs serving high-traffic cinema products: exhibitor websites, mobile apps, online ticketing, showtimes listing, and business intelligence dashboards • Design and implement new data ingestion mechanisms • Model and evolve PostgreSQL schemas for complex domains • Build on GCP-native primitives: Cloud Run, Cloud Scheduler, Eventarc, BigQuery, Cloud Logging, Pub/Sub • Contribute to event-driven and agent-based systems, including AI-powered features built on our proprietary data • Shape technical decisions through RFCs and code reviews, and mentor mid-level engineers

• You'll own product areas end-to-end — architecture, implementation, and iteration — across our agent platform. • That means building and maintaining core application infrastructure in React, Next.js, TypeScript, Node, and PostgreSQL. • Designing the AI layer that makes our agents actually work: multi-model orchestration, RAG pipelines and vector databases, semantic memory, prompt caching strategies, and token usage tracking. • Build and maintain eval and testing harnesses to keep agent behavior reliable as models and prompts evolve. • Work closely with the founding team to translate fuzzy product ideas into shipped, working systems.

• Holistically own and lead major workstreams within the team, from inception of a project to timely and quality launches. • Influence the direction and roadmap of the team through blending strong technical vision and product sense • Produce high quality technical artifacts (design docs, runbooks, etc.) • Contribute high-quality code and code reviews for the team • Participate in the on-call rotation and proactively identify/address relevant production issues • Elevate the team overall through mentoring other engineers • Collaborate across teams and cross functional stakeholders