Join Thrive AI Health as a Senior Software Engineer to architect high-performance systems for a personalized health coach. Operating under AGI-era timelines, you will lead the integration of advanced AI models and scale robust healthcare solutions. This high-urgency role is perfect for builders who want to tackle uncharted technical territory in healthcare.
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Senior Software Engineer at Thriveaihealth
Thrive AI Health is looking for elite engineers and builders to tackle one of humanity's next great leaps: building a hyper-personalized AI health coach. This isn't a routine engineering role; it's a high-urgency mission to architect scalable systems at the intersection of AI and healthcare. If you're ready to operate on AGI-era timelines and push the limits of Python and LLM frameworks like LangChain, join this San Francisco-based team to redefine the future of longevity and well-being.
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Location
San Francisco, United States
Compensation
Not Disclosed
Company
Thriveaihealth
Role overview
Thrive AI Health is a digital health company that provides a hyper-personalized, AI-powered health coach designed to help individuals improve daily habits and long-term health outcomes. Through its mobile app, the company unifies data from wearables and health apps and applies generative AI plus motivational interviewing techniques to deliver tailored coaching across key behaviors such as sleep, nutrition, physical activity, stress management, and social connection.[1][6] The coach offers continuous, 24/7 chat-based support, daily check-ins, customized health habit programs, and adaptive plans that adjust based on user goals, preferences, and real-time data, with the mission of democratizing access to expert-level health coaching and addressing chronic disease and health inequities at scale.[1][5][6]
Backed by OpenAI Startup Fund, Thrive Global, Alice L. Walton Foundation.
What you will do
- Architect and implement scalable, maintainable technical strategies for the AI health coaching platform using Python and cloud-native technologies.
- Deploy and optimize cutting-edge LLM frameworks including LangChain and LangGraph to deliver reliable, personalized health insights at scale.
- Collaborate across AI research and product teams to translate ambitious visions into high-performance GraphQL and REST API solutions.
Who this is a fit for
- Over 8 years of professional software engineering experience with a proven track record of end-to-end system ownership and architecture.
- Expert-level proficiency in Python and deep familiarity with LLM application frameworks such as LangChain, LangGraph, or MLflow.
- Strong background in cloud infrastructure (Azure preferred), containerization with Docker/Kubernetes, and relational database management using Postgres.
Why this role is remarkable
- Work at the cutting-edge of the AGI-era, building a platform that breaks new ground daily in uncharted technical territory for healthcare.
- Join a mission-driven environment that operates with extreme urgency, offering a rare opportunity to help shape one of humanity’s next great leaps.
- Direct ownership over technical strategy and architecture in a high-stakes startup environment where success means redefining global health outcomes.
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If your profile’s a match and Thriveaihealth wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.