Company Name: Neurons Lab

Job Details: Be,an,Early,Applicant,17,Locations,In-Office,or,Remote,Mid,level

Job Url: https://builtin.com/job/software-engineer/8057646

Job Description: About the projectYou'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 engagementObjectiveBackend API Development: Build and maintain production-ready REST APIs using FastAPI with proper authentication, authorization, and error handlingGraph Database Implementation: Implement and optimize Memgraph database models, Cypher queries, and knowledge graph structures for medical dataAI/GenAI Integration: Integrate backend services with AI engines for document processing, entity extraction, and classificationMulti-Tenant SaaS Architecture: Develop tenant-aware data models, queries, and APIs ensuring complete data isolation between organizationsKPIMaintain 70%+ test coverage for backend codeComprehensive API documentation kept up-to-dateComplete technical documentation for all implemented featuresKnowledge transfer documentation for system maintenanceAreas of ResponsibilityDesign and implement REST APIs using FastAPI with Pydantic modelsDevelop business logic for medical document processing workflowsDesign graph data models and write optimized Cypher queriesIntegrate with external data sources and third-party servicesWrite unit and integration tests using pytestDocument APIs and maintain coding standardsSkillsRequired:Python: Advanced proficiency in Python 3.9+, FastAPI, Pydantic, async programmingSQL Databases: PostgreSQL experience for relational data storageRESTful API Design: Strong understanding of REST principles, API versioning, error handlingTesting: pytest, unit testing, integration testing, mocking frameworksDevelopment Tools: Git, Docker, Linux/UNIX command lineStrong Plus:Workflow Orchestration: Airflow experience for pipeline developmentGenAI/LLM Integration: Experience integrating LLM APIs, RAG systems, or document processing AIMulti-Tenant SaaS: Experience building tenant-isolated architecturesGraph Databases: Hands-on experience with Memgraph or Neo4j, Cypher query languageReact/Frontend: Full-stack capability with React for UI development (nice to have for occasional frontend contributions)Experience4+ years of hands-on Python backend development2+ years FastAPI or similar async frameworks (Flask, Django REST)1+ years of multi-tenant SaaS developmentProven track record of building production-ready APIs