Software Engineer (Python)

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

• 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

• 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

• 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

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)

• 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