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Job Title


Back End Developer


Company : NurseBee


Location : rajkot,


Created : 2026-04-12


Job Type : Full Time


Job Description

Backend Developer NurseBee •  Contract • Remote (India) About NurseBee NurseBee is a healthcare staffing startup building AI-powered tools to match nurses with facilities faster and smarter. Our backend sits at the intersection of data engineering, machine learning, and real-time APIs — and we need a polyglot backend engineer who's equally at home in Node.js and Python. The Role You'll design and build scalable APIs, integrate LLM and ML models into production workflows, and own the data layer. This is a contract role with high autonomy — you'll work closely with the frontend engineer and report directly to the founding team. ✅ Must-Have Skills Candidates who don't meet these requirements will not be considered: ✓   Node.js + TypeScript — 3+ years building production APIs (Express.js or similar)  ✓   Python — 2+ years production experience; pandas, numpy, scikit-learn or XGBoost  ✓   PostgreSQL — schema design, query optimization, indexes, transactions  ✓   RESTful API Design — HTTP methods, status codes, auth patterns, versioning  ✓   AI/ML API Integration — OpenAI, Anthropic, or similar LLM APIs; embeddings & vector search  ✓   Machine Learning — trained and deployed at least 1 production ML model (classification, ranking, or regression)  ✓   AWS — EC2/ECS, RDS, S3, basic networking  ✓   Auth & Security — JWT, bcrypt, RBAC, HTTPS/TLS  ✓   2+ shipped production web applications from scratch  ✓   Integrated 3+ external APIs with error handling and retry logic  ✓   Experience with applications handling sensitive data (PII, financial, or healthcare)  AI/ML-Specific Requirements Vector databases (Pinecone, Weaviate, Milvus) or vector similarity search Embeddings and semantic search concepts Python ML pipelines: data preprocessing, feature engineering, model training Model evaluation metrics: AUC-ROC, precision, recall, F1-score Structured output from LLMs (JSON mode, function calling) Deploying ML models as REST APIs or microservices Nice-to-Have Background job processing: Bull, Celery, or RabbitMQ Healthcare tech, HIPAA compliance, or regulated industry background MLflow, Weights & Biases, or experiment tracking tools Redis for caching, sessions, or real-time features Monitoring/observability: Datadog, Sentry, New Relic CI/CD pipelines and infrastructure as code PyTorch or TensorFlow What We're Looking For Polyglot mentality: Switch between Node.js and Python without friction Ownership mindset: End-to-end from design to deployment to monitoring Pragmatic problem-solver: Ship working features fast, iterate on feedback Data-driven: Metrics-based decisions, A/B testing, model performance improvements Clear communicator: Write clean documentation, collaborate with frontend Startup mindset: Comfortable with ambiguity, excited about wearing multiple hats How to Apply Click the link below to complete a 5-minute AI video screening (3 questions, on your own schedule). No recruiter call needed first.