Full Stack Engineer (React + Supabase + AI) (Contract to Hire)

3 - 5 years

0 Lacs

Posted:2 weeks ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Company Description

Bionesca is a cutting-edge AI-dermatology platform focused on creating personalised, data-driven personalised skincare solutions. We are developing a data-driven, digital first assessment tool that leverages dermatological insights, clinical actives, and AI-driven analysis.

Full-Stack Engineer

Role description

As our Full-Stack Engineer, you will take ownership of connecting the React front end with our Supabase backend, integrating AI models into the workflow, and helping build a robust recommendation engine. You'll work closely with the founder to bring the MVP to a polished, customer-ready product.

Responsibilities

  • Connect the existing

    React/Next.js front end

    to the

    Supabase

    backend (Auth, DB, API routing, Edge Functions)
  • Implement a logic-based

    Product Matcher

    using output from questionnaire-based scoring
  • Build database architecture and optimize Supabase queries / triggers.
  • Integrate AI models for:
  • Image analysis inputs
  • Ingredient mapping
  • Recommendation scoring
  • Complete UI workflows and ensure smooth end-to-end customer flow.
  • Improve performance, security, and reliability of the platform.
  • Work with the founder on iterative releases and feature improvements.

Must-Have

  • 35+ years experience in

    React/Next.js

  • Strong experience with Supabase

    (Auth, SQL, API, Functions)
  • Experience integrating

    AI APIs or ML models

  • Ability to architect full-stack features end-to-end

  • Solid understanding of web performance, debugging, and deployment

  • Strong ownership and ability to work autonomously in a startup environment

  • Based in India

Nice-to-Have

  • Experience with image analysis or recommendation systems
  • UI/UX experience with clean design principles
  • Familiarity with beauty, wellness, or personalization platforms

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