Thriveaihealth.com is looking to architect and build multi-agent, voice-powered systems for their AI health coach, aiming to solve complex problems and design fast, safe, and personalized systems to help millions live better lives.
Requirements
- 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.
Responsibilities
- 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.
Other
- This is a zero-to-one builder's role.
- Owning the full arc from prototype to production.
- Working with a high-trust, high-velocity founding team.
- Location: San Francisco, USA
- To apply, speak to Jack, our AI recruiter.
