🩺 About Galen
Galen is building the future of proactive, personalized healthcare. By integrating clinical and wearable data, we deliver real-time insights, tailored health recommendations, and 24/7 on-demand medical support, empowering users to be proactive about their health and wellness. We are backed by leading physicians and researchers from Stanford and the Cleveland Clinic.
Join us if the following excites you!
- Mission with meaning: Redesign how patients interact with healthcare.
- High ownership: Shape the product, culture, and technical roadmap from day zero.
- Deep technical challenge: Multimodal data, real-time inference, safety, interpretability.
- A rare moment in time: AI + healthcare are converging—come define that frontier. 🚀
🛠️ About the Role
We’re looking for a Founding AI Engineer to join us at Galen AI, where we’re reimagining what it means to have a personal doctor. You’ll work directly with Priyanka (ex- Stanford SAIL, Roche, Cleveland Clinic) and Viraj (ex-Optiver, IMC). We’re backed from top investors and physicians from Stanford, Cleveland Clinic, Y Combinator, and Maven Ventures, and we’re building a platform that integrates clinical, wearable, and conversational data into one personalized AI health companion. This is an opportunity to join at day zero shaping both the product and the company.
What You’ll Build
- Health Intelligence Stack: Architect backend systems that unify FHIR data, wearable APIs, and patient conversations into a cohesive longitudinal health timeline.
- LLM Training & Finetuning: Build pipelines, evals, and safety tooling to improve accuracy, trustworthiness, and clinical reliability in real-world settings.
- Agentic Workflows: Design multi-agent orchestration for multimodal reasoning, data extraction, and personalized decision support.
- User Experience: Create intuitive chat + dashboards that make complex medical data understandable and actionable.
- Technical Strategy: Drive decisions around latency, security, compliance, and scalable infra (HIPAA, PHI, high-availability systems).
Our Technology:
- Typescript, Node.js, React, Python, Supabase, AWS, Multimodal LLMs
Nice to have:
- Worked with LLMs for multi-modal health analysis (text, images, documents)
- Experience with event-driven architecture for asynchronous processing
- Experience with RAG, MCP, tool use, memory, retry logic, context updates feedback mechanisms etc.
- Worked with Fast Healthcare Interoperability Resources (FHIR) Framework
- Swift (mobile dev)
You’re a Great Fit If
- You’ve shipped and scaled production-grade full-stack apps.
- You’re obsessed with health + AI, or human-impact products.
- You thrive in ambiguity and enjoy building v1 systems that evolve fast.
- You’ve been a founder or early engineer before, or have the mindset of one.
- You’re Bay-Area based and want to build in person with a small, high-trust team.
- You’re a high-agency person: we don't track hours or time-off but we expect you to get things done quickly.
✨ Interview Process
- 30 min intro call/behavioral with CEO
- 90 min live technical with CTO
- 1 week onsite work trial
- Offer extended