Help build cutting-edge technology that saves lives!
Areti Health is a Silicon Valley early stage startup that dramatically boosts clinical trial patient recruitment using generative AI. Our technology allows pharmaceutical, biotech, and medical device companies to bring their therapies to patients faster thereby saving lives. We achieve an unheard-of conversion rate of 63%, a 10x improvement over human coordinators. Our assistant answers prospective patient questions based on the clinical trial documentation, schedules appointments, collects patient information, and runs pre-qualification questionnaires. Our customers include a $5B clinical research organization (CRO), the world’s second largest clinical research site network (the size of a top-5 US hospital chain), and the world’s largest decentralized clinical trial (DCT) site network. We are also an official partner of Crio, a top-3 clinical trial management system (CTMS).
You will work on a small team closely with the company founder (with a solid healthcare technology track record, a Y Combinator founder, and a Stanford PhD) on scaling the product to thousands of clinical trials and
- Work on prompt engineering, observability, guardrails, content retrieval, and many other GenAI-related concerns
- Build reliable, simple, and efficient python services
- Develop business logic in support of GenAI
- Leave the code better than you found it
You will NOT be asked to train deep learning models.
Requirements
Important: You MUST have a computer science degree AND work experience exclusively as a software engineer for your entire career. Unfortunately, we will NOT be able to give consideration to data engineers, ML engineers, data scientists, academics, system administrators turned software engineers, or any other alternative backgrounds at this early stage of our company.
- Be excited about our mission of revolutionizing clinical trials and getting much needed therapy to patients faster using generative AI
- Solid python software engineering experience of at least 5 years in a product company
- Experience in using large language models in production, where you personally wrote prompts and used GenAI tooling, such as prompting or guardrail libraries
- BS in Computer Science
- Be a self-starter, not a ticket cruncher
- Be curious, practical, and result-oriented
- Be analytical with attention to detail
- AWS infrastructure experience is a plus
