• Design, develop, and maintain scalable fullstack applications using JavaScript, TypeScript, React, and Node.js
• Build and integrate RESTful APIs, ensuring robust data flow and security
• Develop backend services using Python and FastAPI, optimized for performance and scalability
• Implement and manage CI/CD pipelines for automated testing and deployment
• Containerize applications using Docker and orchestrate them with Kubernetes on Azure Kubernetes Service (AKS)
• Work with SQL databases and Cosmos DB for structured and unstructured data storage
• Integrate and fine-tune LLM-based applications using Azure OpenAI, Prompt Engineering, and Embeddings
• Implement Retrieval-Augmented Generation (RAG) patterns using Vector DBs for enhanced contextual responses
• Evaluate model performance and optimize inference pipelines for production readiness
• Leverage Azure AI Search and Azure ML for intelligent search and machine learning workflows
• Collaborate with cross-functional teams to translate business requirements into technical solutions
• Maintain code quality and version control using Git, and participate in code reviews

Requirements

Technical Skills

• Proficiency in JavaScript, TypeScript, React, Node.js
• Strong backend development experience with Python and FastAPI
• Hands-on experience with REST APIs, SQL, Docker, Kubernetes, and Git
• Familiarity with CI/CD tools and cloud-native deployment practices
• Experience building and deploying LLM-powered applications
• Knowledge of Prompt Engineering, Embeddings, Vector Databases, and RAG
• Exposure to Azure OpenAI, Azure AI Search, Azure ML, Cosmos DB, and AKS

Soft Skills

• Strong problem-solving and analytical abilities
• Excellent communication and collaboration skills
• Ability to work in a fast-paced, agile environment

Preferred Qualifications

• Experience with model evaluation and optimization techniques
• Prior work on production-grade AI applications
• Contributions to open-source AI or ML projects