Founding AI/Data Engineer (Remote)
AI summary of the role
Founding AI/Data Engineer role at a seed-stage clinical AI startup.
What you’ll do
- Design and build development and production platforms for new products, ensuring reliability and security at scale
- Own end-to-end development of new user-facing generative AI features
- Partner with researchers, engineers, PMs, and designers to ship new features
- Accelerate engineering productivity with excellent tooling and systems
What you’ll bring
- 5+ years of engineering experience in product-driven companies
- Experience with TypeScript/React frontend and Python backend
- Proven experience designing, building, and scaling production systems
- Comfortable taking ownership in a fast-paced startup environment
Technologies
TypeScript · React · Python · Django · Postgres · GCP · Docker · OpenAI · LLM · RAG · ELT
About Glass Health
AI clinical intelligence platform for clinicians and health-tech builders, combining ambient scribing, guideline-backed decision support, and embeddable APIs.
Seed
Source and classification
Internal deployment & tooling · Evidence for this classification:
About Glass Health Glass Health was physician co-founded because we believe that technology should be fully leveraged to optimize the practice of medicine and improve patient care. We’re building the better tools we as physicians want, so we can spend more quality time with our patients. To this end, we have set out to empower clinicians with the best-in-class AI for clinical decision support (CDS). We aim to increase diagnostic accuracy, improve the implementation of evidence-based medicine, accelerate the achievement of health equity, eliminate clinician burnout, and improve patient outcomes worldwide. About the role: We’re looking for experienced, problem-solving engineers across the stack (Product, Full-Stack, Backend, Applied AI/LLM) to build new products and grow existing products. Our success depends on our ability to quickly iterate on products, while also ensuring that
More from the job description
About Glass Health Glass Health was physician co-founded because we believe that technology should be fully leveraged to optimize the practice of medicine and improve patient care. We’re building the better tools we as physicians want, so we can spend more quality time with our patients. To this end, we have set out to empower clinicians with the best-in-class AI for clinical decision support (CDS). We aim to increase diagnostic accuracy, improve the implementation of evidence-based medicine, accelerate the achievement of health equity, eliminate clinician burnout, and improve patient outcomes worldwide. About the role: We’re looking for experienced, problem-solving engineers across the stack (Product, Full-Stack, Backend, Applied AI/LLM) to build new products and grow existing products. Our success depends on our ability to quickly iterate on products, while also ensuring that they are performant and reliable. You’ll work in a deeply iterative, collaborative, fast-paced environment to bring our technology to tens of thousands of users, and ensure it’s delivered with finesse and reliability in mind. While we have a head-start, this is a Founding engineering role - you will have expanded ownership, a defining impact on the success of the company, and play a crucial part in shaping the future of healthcare. Depending on the role, you will: Design and build the development [... source excerpt omitted ...] ew technologies. Are comfortable taking ownership in an ambitious, fast-paced and diverse startup environment. Possess significant experience in designing, building, and scaling production systems to deliver new product capabilities and manage increasing demand. Are committed to creating outstanding user experiences and take pride in developing solutions that meet customer needs. You are excited about and stay up-to-date with rapidly advancing changes in AI and LLM technology. Demonstrate humility, a collaborative spirit, and a willingness to support your colleagues to ensure team success. Take ownership of challenges from start to finish, and are proactive in learning new sk
Employer postings · Data from · Sources