As a Senior AI/ML Engineer at Thriveaihealth.com, you'll architect and build the multi-agent, voice-powered systems for our AI health coach. This zero-to-one builder's role involves LLM development, agent orchestration, evaluation, and deployment, owning the full arc from prototype to production. You'll solve complex problems, designing fast, safe, and personalized systems to help millions live better lives.
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Sr Software Engineer - AI experiences at Thriveaihealth
Are you a Senior Software Engineer passionate about leveraging frontier AI to transform health? Thriveaihealth.com, backed by Thrive Global and OpenAI, is building the world's most personalized AI health coach. Join us to architect multi-agent, voice-powered systems and redefine how millions live longer, healthier lives.
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Location
San Francisco, United States
Compensation
Not Disclosed
Company
Thriveaihealth
Role overview
HealthcareSan Francisco, United StatesSeed (VC-backed)
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 multi-agent systems for reasoning, planning, and real-time health coaching using LangGraph, LangChain, and LangSmith.
- Build and ship generative AI features across chat and voice, integrating with speech SDKs to power dynamic health conversations.
- Own end-to-end pipelines for data ingestion, fine-tuning, evaluation, and production monitoring, ensuring robustness and scalability.
Who this is a fit for
- 5+ years building and deploying ML/AI systems at scale, with deep Python and strong ML fundamentals (PyTorch, JAX, TensorFlow).
- Hands-on experience with LLM frameworks (LangGraph, LangChain, LangSmith, agent SDKs) and voice AI systems (ASR, TTS, audio UX).
- Background in agentic architectures (planning, memory, orchestration) and strong engineering instincts for distributed systems and scalable infrastructure.
Why this role is remarkable
- Building the world’s most personalized AI health coach, redefining health products with proactive, adaptive, and AI-powered solutions.
- Backed by Thrive Global and OpenAI, creating a new category of health product at the intersection of behavior science, generative AI, and real-world data.
- Direct ownership of multi-agent, voice-powered systems that will touch millions of lives, working with a high-trust, high-velocity founding team.
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