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
  

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
  

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