House of Habits is building a recent-age consumer health platform, combining technology, data and AI to create highly personalized health and wellness experiences.
We’re looking for a strong AI/ML Engineer with full-stack capabilities who can own products end-to-end — from AI models and data pipelines to backend systems and user-facing applications.
What You’ll Work On
- Build AI-native consumer health products from 0→1
- Develop and productionize LLM/GenAI, recommendation and personalization systems
- Build AI agents, RAG pipelines and intelligent workflows
- Work with structured and unstructured consumer/product data
- Build scalable APIs, backend services and data pipelines
- Develop and ship frontend product experiences
- Rapidly prototype, test and deploy new AI-led product ideas
- Own architecture, deployment, monitoring and iteration
What We’re Looking For
- Strong Python + AI/ML fundamentals
- Hands-on experience with LLMs, RAG, embeddings, vector databases and AI APIs
- Experience with frameworks such as PyTorch / TensorFlow / LangChain / similar
- Solid backend engineering — Python / FastAPI / Node.js
- Full-stack exposure — React / Next.js / TypeScript
- SQL, databases, cloud infrastructure and APIs
- Ability to independently build and ship production-grade products
- Strong product thinking and comfort operating in a fast-moving startup environment
Why Join?
You’ll be an early member of the technology team with significant ownership over how AI gets embedded across our products and consumer experiences.
If you love AI + product engineering and want to build products from scratch, we’d love to speak.
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