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: 3-5 months 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
This is a 3-5 months project engagement.
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
