Software Engineer

📋 Description

• • Shape the future of healthcare AI: join Neurons Lab as a Python Backend Developer on a high-impact, 2-month engagement to build a GenAI-powered SaaS platform that processes millions of medical documents, classifies device incidents, and delivers real-time monitoring reports to hospitals and regulators worldwide.
• • Own the backend backbone: design and maintain production-grade REST APIs in FastAPI with Pydantic models, OAuth2 authentication, role-based authorization, and bullet-proof error handling that scales to thousands of concurrent tenants without a single dropped request.
• • Master graph intelligence: model complex medical ontologies in Memgraph, craft lightning-fast Cypher queries, and build knowledge graphs that map patient journeys, device lifecycles, and adverse events so clinicians can ask natural-language questions and get evidence-based answers in milliseconds.
• • Integrate bleeding-edge GenAI: wire up LLM pipelines (Claude, GPT-4, custom fine-tuned models) for document ingestion, entity extraction, and incident classification; build RAG systems that retrieve context from the graph and generate audit-ready summaries that satisfy FDA and EMA inspectors.
• • Deliver multi-tenant magic: implement row-level security, tenant-isolated schemas, and zero-downtime migrations so every hospital, insurer, and regulator sees only their data while the platform runs on a single, cost-efficient cluster.
• • Build bullet-proof audit trails: capture every API call, AI decision, and user action in immutable logs that comply with HIPAA, GDPR, and 21 CFR Part 11; generate provenance graphs using PROV-O so auditors can replay any decision path in seconds.
• • Orchestrate data workflows: create Airflow DAGs that ingest PDFs, DICOM images, HL7 feeds, and FHIR bundles; chain OCR, NLP, and GenAI tasks; monitor SLAs and auto-retry failures so critical safety reports are never late.
• • Champion code quality: maintain ≥80 % test coverage with pytest, enforce pre-commit hooks, run mutation testing, and keep CI pipelines green; every PR must pass peer review, static analysis, and load tests before it reaches staging.
• • Document like a pro: auto-generate OpenAPI specs, write interactive Swagger docs, and maintain architecture decision records so future engineers can onboard in hours, not weeks.
• • Collaborate across the stack: pair daily with the AI Architect on system design, occasionally jump into React front-end fixes, and present sprint demos to clinicians who speak medicine, not code.
• • Hit aggressive KPIs: 99 % API uptime during business hours, p95 response times <2 s, zero critical bugs in production, and full knowledge-transfer docs ready by project end so the platform lives on long after the contract closes.