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Generative AI Engineer

QuickFloHayward, CA🇺🇸United StatesPosted Sep 25, 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Hayward, CA, United States
Posted
20 hours ago
FastAPINext.jsNode.jsSQLLLMPyTorchPythonReactTensorFlowTypeScript

Job Description

Job Description

🚀 We’re Hiring: AI/ML + Full Stack Engineer

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Location: Gurgaon | Full-time | In-office

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Experience: 2–6 years

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House of Habits is building a new-age consumer health platform, combining technology, data and AI to create highly personalized health and wellness experiences.

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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.

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What You’ll Work On

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  • Build AI-native consumer health products from 0→1
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  • Develop and productionize LLM/GenAI, recommendation and personalization systems
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  • Build AI agents, RAG pipelines and intelligent workflows
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  • Work with structured and unstructured consumer/product data
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  • Build scalable APIs, backend services and data pipelines
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  • Develop and ship frontend product experiences
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  • Rapidly prototype, test and deploy new AI-led product ideas
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  • Own architecture, deployment, monitoring and iteration
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What We’re Looking For

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  • Strong Python + AI/ML fundamentals
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  • Hands-on experience with LLMs, RAG, embeddings, vector databases and AI APIs
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  • Experience with frameworks such as PyTorch / TensorFlow / LangChain / similar
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  • Strong backend engineering — Python / FastAPI / Node.js
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  • Full-stack exposure — React / Next.js / TypeScript
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  • SQL, databases, cloud infrastructure and APIs
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  • Ability to independently build and ship production-grade products
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  • Strong product thinking and comfort operating in a fast-moving startup environment
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Why Join?

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You’ll be an early member of the technology team with significant ownership over how AI gets embedded across our products and consumer experiences.

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If you love AI + product engineering and want to build products from scratch, we’d love to speak.

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