You'll be joining Neurons Lab as a part-time Python Backend Developer (20 hours/week, ~4 hours per day) 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.

Engagement Details:

Duration: 3-5 months project engagement
Allocation: 0.5 FTE (20 hours per week / ~4 hours per day)
Schedule: Flexible hours within the EMEA timezone

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