Data Scientist

Job Title: Senior AI Engineer / GenAI Engineer Experience 5-12 Virtual Interview : 25th July Location Bangalore / Pune / Hyderabad Job Summary We are looking for a highly skilled Senior AI Engineer with strong expertise in Generative AI, Agentic AI, and Large Language Models (LLMs) to design and develop intelligent AI applications. The ideal candidate should have hands-on experience building scalable GenAI solutions using modern frameworks, cloud AI services, and Python-based backend technologies. Key Responsibilities Design, develop, and deploy Generative AI and Agentic AI applications for enterprise use cases. Build intelligent AI agents using LangChain, LangGraph, and LlamaIndex . Develop Retrieval-Augmented Generation (RAG) pipelines leveraging Vector Databases and enterprise knowledge sources. Integrate Large Language Models (LLMs) using Azure OpenAI, AWS Bedrock, and Azure AI Foundry. Design and develop REST APIs using Python and FastAPI. Build conversational AI solutions, chatbots, and NLP-based applications. Implement prompt engineering techniques to optimize LLM performance and response quality. Work with structured and unstructured data using SQL and vector databases. Collaborate with cross-functional teams to integrate AI capabilities into enterprise applications. Optimize AI solutions for scalability, performance, security, and cost efficiency. Required Skills Strong experience in Python Hands-on experience with FastAPI and REST API development Strong understanding of Generative AI and Agentic AI Experience with LangChain , LangGraph , and LlamaIndex Expertise in Retrieval-Augmented Generation (RAG) Experience with Vector Databases (Pinecone, ChromaDB, FAISS, Milvus, Weaviate, etc.) Hands-on experience with Large Language Models (LLMs) Strong knowledge of Prompt Engineering Experience building Chatbots and Conversational AI solutions Good understanding of Natural Language Processing (NLP) Strong SQL skills Cloud & AI Platforms AWS Bedrock Azure AI Foundry (Microsoft AI Foundry) Azure OpenAI Service Experience deploying AI applications on Azure and/or AWS cloud platforms Preferred Skills Experience with Docker and Kubernetes CI/CD pipeline implementation Knowledge of AI model evaluation and monitoring Exposure to AI governance, Responsible AI, and security best practices Experience with Git and Agile development methodologies Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field. 48 years of software development experience, with at least 23 years of hands-on experience in Generative AI technologies. Nice to Have Experience with multi-agent systems and autonomous AI workflows Fine-tuning and evaluation of LLMs Knowledge of MLOps and model deployment Exposure to MCP (Model Context Protocol) and AI orchestration frameworks Experience with OpenAI APIs, Anthropic Claude, Google Gemini, or other foundation models