Summary: Join Neurons Lab as a Python Backend Developer to build a GenAI-powered healthcare SaaS platform, focusing on robust APIs, graph databases, and AI integration for medical document processing. Highlights: 1. Contribute to a cutting-edge GenAI healthcare SaaS platform 2. Work with graph databases and integrate AI/GenAI pipelines 3. Focus on robust API development and compliance for healthcare clients **About the project** --------------------- You'll be joining Neurons Lab as a **Python Backend Developer** to contribute to the development of a cutting\-edge **healthcare SaaS platform**. This is a GenAI\-powered project in the healthcare domain where you'll work alongside an AI Architect to build production\-ready systems for processing medical documents, classifying medical device incidents, and delivering automated monitoring reports. As a Software Engineer, you'll be responsible for implementing robust APIs, working with graph databases, integrating AI/GenAI pipelines, and ensuring the platform meets strict compliance and auditability requirements for healthcare clients. You'll focus on code quality, testing, and day\-to\-day delivery while the AI Architect leads the technical vision. This role requires strong expertise in **Python backend development**, **graph databases**, **API design**, and a willingness to work with **GenAI technologies**. Experience in healthcare or regulated industries is a significant advantage. **Duration:** 2\-month project engagement **Objective** ------------- * **Backend API Development**: Build and maintain production\-ready REST APIs using FastAPI with proper authentication, authorization, and error handling * **Graph Database Implementation**: Implement and optimize Memgraph database models, Cypher queries, and knowledge graph structures for medical data * **AI/GenAI Integration**: Integrate backend services with AI engines for document processing, entity extraction, and classification * **Multi\-Tenant SaaS Architecture**: Develop tenant\-aware data models, queries, and APIs ensuring complete data isolation between organizations **KPI** ------- * Maintain 70%\+ test coverage for backend code * Comprehensive API documentation kept up\-to\-date * Complete technical documentation for all implemented features * Knowledge transfer documentation for system maintenance **Areas of Responsibility** --------------------------- * Design and implement REST APIs using FastAPI with Pydantic models * Develop business logic for medical document processing workflows * Design graph data models and write optimized Cypher queries * Integrate with external data sources and third\-party services * Write unit and integration tests using pytest * Document APIs and maintain coding standards **Skills** ---------- **Required:** * **Python**: Advanced proficiency in Python 3\.9\+, FastAPI, Pydantic, async programming * **SQL Databases**: PostgreSQL experience for relational data storage * **RESTful API Design**: Strong understanding of REST principles, API versioning, error handling * **Testing**: pytest, unit testing, integration testing, mocking frameworks * **Development Tools**: Git, Docker, Linux/UNIX command line **Strong Plus:** * **Workflow Orchestration**: Airflow experience for pipeline development * **GenAI/LLM Integration**: Experience integrating LLM APIs, RAG systems, or document processing AI * **Multi\-Tenant SaaS**: Experience building tenant\-isolated architectures * **Graph Databases**: Hands\-on experience with Memgraph or Neo4j, Cypher query language * **React/Frontend**: Full\-stack capability with React for UI development (nice to have for occasional frontend contributions) **Experience** -------------- * **4\+ years** of hands\-on Python backend development * **2\+ years** FastAPI or similar async frameworks (Flask, Django REST) * **1\+ years** of multi\-tenant SaaS development * Proven track record of building production\-ready APIs