Experience:

• 6-8 years overall IT experience

Responsibilities:

• Design, develop, and deploy Generative AI applications using Azure AI Services and OpenAI models
• Build and optimize RAG-based solutions leveraging vector databases and semantic search
• Develop scalable backend services and APIs using Python
• Integrate LLMs such as GPT, Llama, Claude, or similar models into enterprise applications
• Implement prompt engineering, fine-tuning, and model evaluation strategies
• Work with Azure AI Studio, Azure OpenAI, Azure Cognitive Search, and Azure Machine Learning
• Develop AI agents, chatbots, and intelligent automation solutions
• Collaborate with cross-functional teams to understand business requirements and translate them into AI-driven solutions
• Monitor, optimize, and maintain AI applications in production environments
• Ensure security, governance, and compliance standards are followed in AI implementations

Nice to have:

• Experience with AI Agents and Multi-Agent Frameworks
• Exposure to MLOps and CI/CD pipelines
• Experience with Docker and Kubernetes
• Knowledge of data engineering concepts and ETL pipelines
• Familiarity with Git, Azure DevOps, and Agile methodologies

More skills:

Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector Databases (FAISS, Pinecone, ChromaDB, Weaviate), REST API development, Microservices architecture