Role Overview
As a Full Stack Developer , you will be responsible for building the end-to-end product—from backend APIs to a clean, responsive frontend.
You’ll take full ownership of the development process, ensuring quality, scalability, and performance.
Key Responsibilities
- Develop, test, and deploy the SaaS platform using FastAPI , React 18 , and PostgreSQL .
- Implement a split → process → reduce pipeline for breaking down user prompts and aggregating responses.
- Integrate OpenAI SDK (GPT-5 High) and manage structured outputs, token/cost estimations, and performance limits.
- Build a responsive and intuitive web interface using React + Vite + Tailwind , including WebSockets for real-time updates.
- Implement file upload and parsing (PDF, TXT, DOCX, CSV) with basic OCR support .
- Generate PDF and DOCX exports (using Puppeteer, docx/docxtemplater).
- Deploy on Railway , manage environment variables, and implement monitoring via Sentry and Plausible .
- Maintain database structure and metrics logging in PostgreSQL .
- Collaborate closely with the technical lead to ensure code quality, scalability, and security.
Required Experience:
- 4–6 years of full-stack experience.
- At least one SaaS product built and delivered using FastAPI + React .
- Able to work independently with minimal supervision and deliver production-ready code quickly.
- Experience with OpenAI SDK or LLM orchestration.
Required Technical Skills
Backend (FastAPI & Python 3.11+):
- Expertise in asynchronous programming (asyncio), retry/backoff strategies with jitter, and timeout management.
- Experience integrating OpenAI SDK, handling structured outputs, and managing token usage (tiktoken).
- Strong understanding of dependency management, concurrency, and parallel execution.
Frontend (React + Vite + Tailwind):
- Proficiency in modern React (v18), WebSockets, and responsive UI implementation.
- Ability to build clean UIs from wireframes without complex design dependency.
Infra & Database:
- Hands-on experience deploying to Railway or similar environments.
- Knowledge of structured logging, secrets management, and Twelve-Factor configuration.
- Familiarity with PostgreSQL , including query optimization and schema design.