Software Engineer

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: 2-month 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

• Audit Trail & Compliance: Implement comprehensive audit logging and provenance tracking for all user and AI decisions to meet healthcare regulatory requirements

• Workflow Integration: Connect backend services with Airflow pipelines for document processing and batch operations

KPI

Code Quality:

• Maintain 80%+ test coverage for all backend code

• Zero critical bugs in production releases

• Pass all code reviews with minimal revision cycles

API Reliability:

• 99%+ API uptime during business hours

• API response times under 2000ms for standard operations

• Comprehensive API documentation kept up-to-date

Compliance & Documentation:

• 100% of user and AI actions captured in audit trails

• Complete technical documentation for all implemented features

• Knowledge transfer documentation for system maintenance

Areas of Responsibility

Backend Development (50%):

• Design and implement REST APIs using FastAPI with Pydantic models

• Develop business logic for medical document processing workflows

• Implement authentication, authorization, and multi-tenant data isolation

• Build tenant-aware API endpoints for SaaS platform features

Graph Database & Data Layer (25%):

• Design graph data models and write optimized Cypher queries

• Implement ontology structures (RDF, OWL) and provenance tracking (PROV)

• Build data validation and integrity checks for graph operations

Integration & Workflows (15%):

• Connect backend services with Airflow DAGs for document processing

• Develop APIs to invoke AI engines and handle processing results

• Integrate with external data sources and third-party services

Quality & Compliance (10%):

• Write unit and integration tests using pytest

• Build comprehensive audit logging for all user and AI actions

• Document APIs and maintain coding standards

Skills

Required:

• Python: Advanced proficiency in Python 3.9+, FastAPI, Pydantic, async programming

• Graph Databases: Hands-on experience with Memgraph or Neo4j, Cypher query language

• 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

• AI Code Generation Tools: Proficiency with Claude Code, Cursor, or similar

• 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

• Ontology Standards:

  • RDF (Resource Description Framework) - standard model for data interchange

  • OWL (Web Ontology Language) - semantic markup for ontologies

• PROV Ontology: W3C Provenance standard for tracking data lineage and history

• Healthcare Domain: Experience with regulated industries

• React/Frontend: Full-stack capability with React for UI development (nice to have for occasional frontend contributions)

Experience

Python Backend Development:

• 4+ years hands-on Python backend development

• 2+ years FastAPI or similar async frameworks (Flask, Django REST)

• 1+ years multi-tenant SaaS development

• Proven track record of building production-ready APIs

Graph Databases:

• 1+ years working with graph databases (Neo4j, Memgraph, or similar)

• Proficiency in Cypher query language

• Experience with knowledge graph design and implementation

Testing & Quality:

• 2+ years production API development with comprehensive testing

• Experience with pytest and automated testing practices

• Code review experience and familiarity with coding standards

Preferred Experience:

• 1+ years GenAI/LLM integration or document processing AI (strong plus)

• Healthcare domain experience (strong plus)

• Airflow or similar workflow orchestration (plus)