Full-Stack Developer (React / Next.js + Python or Node | AI-Enabled Health Tech MVP)

About the project.

We are building an early-stage chat-based therapy platform with an embedded therapist-side AI assistant.

This is a small, well-defined MVP with clear scope, clinical constraints, and a strong focus on clean architecture and data privacy.

What you will build (MVP scope)

1. Client Web Application

- secure chat interface between client and therapist

- simple view for assignments / exercises

- mobile-friendly, responsive UI

2. Therapist Console

-view full conversation history

- AI-generated:draft replies (for therapist review), conversation summaries

-clear separation between human and AI content

3. Backend API

-session management, messages, assignments

-openAI API integration

-basic role separation (client / therapist)

Technical Stack (preferred, flexible)

Frontend:

- react or Next.js

-focus on clarity, responsiveness, and maintainability

Backend:

-fastAPI (Python) preferred or Node.js (Express / NestJS)

- RESTful API design

Database:

-managed PostgreSQL (Supabase, Neon, or similar)

-relational modeling for users, sessions, messages

-basic migrations and indexing

AI:

OpenAI API (GPT-4o / GPT-4o-mini).

Use cases:

- draft therapist responses

- conversation summaries

- assignments

Responsibilities:

1. Design and implement a small but well-structured full-stack application

2. Maintain clear separation between:

- API routes

- business logic

- database layer

- AI / LLM layer

3. Build the system so that:

- AI models can be swapped later

- future self-hosting is possible

4. Implement basic security and privacy practices:

- safe handling of API keys

- minimal PII

- user anonymity (nicknames)

5. Collaborate closely with the founder:

- translate prompt specifications and clinical rules into APIs

- iterate quickly based on feedback

Working Style & Expectations:

-early-stage product: small scope

-clear requirements

-architecture and code quality matter more than speed alone

Format:

Full-time (4 - 5 weeks).