Job Title

Backend DeveloperNurseBee •  Contract • Remote (India)About NurseBeeNurseBee 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 RoleYou'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 SkillsCandidates 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 RequirementsVector databases (Pinecone, Weaviate, Milvus) or vector similarity searchEmbeddings and semantic search conceptsPython ML pipelines: data preprocessing, feature engineering, model trainingModel evaluation metrics: AUC-ROC, precision, recall, F1-scoreStructured output from LLMs (JSON mode, function calling)Deploying ML models as REST APIs or microservicesNice-to-HaveBackground job processing: Bull, Celery, or RabbitMQHealthcare tech, HIPAA compliance, or regulated industry backgroundMLflow, Weights & Biases, or experiment tracking toolsRedis for caching, sessions, or real-time featuresMonitoring/observability: Datadog, Sentry, New RelicCI/CD pipelines and infrastructure as codePyTorch or TensorFlowWhat We're Looking ForPolyglot mentality: Switch between Node.js and Python without frictionOwnership mindset: End-to-end from design to deployment to monitoringPragmatic problem-solver: Ship working features fast, iterate on feedbackData-driven: Metrics-based decisions, A/B testing, model performance improvementsClear communicator: Write clean documentation, collaborate with frontendStartup mindset: Comfortable with ambiguity, excited about wearing multiple hatsHow to ApplyClick the link below to complete a 5-minute AI video screening (3 questions, on your own schedule). No recruiter call needed first.