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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
Neurons Lab

Neurons Lab

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