AI Engineer

Role & responsibilities : Design, develop, and deploy AI/GenAI solutions using Azure OpenAI or AWS Bedrock. Build intelligent applications using Large Language Models (LLMs). Develop and optimize data pipelines using PySpark and Databricks. Implement Retrieval-Augmented Generation (RAG) architectures. Design prompt engineering frameworks for AI applications. Integrate AI services with enterprise applications and data platforms. Work on vector databases, embeddings, and semantic search solutions. Collaborate with Data Engineers, Architects, and Business teams to translate business requirements into AI solutions. Build scalable and secure AI applications on Azure or AWS cloud. Monitor, evaluate, and improve AI model performance and response quality. Ensure deployment best practices, governance, and responsible AI principles. Participate in performance tuning, troubleshooting, and production support activities. Develop documentation, technical designs, and reusable AI components. Stay updated with emerging AI/ML and Generative AI technologies. Preferred candidate profile 3-5 years of Data Engineering/AI Engineering experience. Hands-on experience in Azure OpenAI or AWS Bedrock. Strong Python programming skills. Experience in Databricks or PySpark development. Experience building enterprise GenAI solutions. Strong communication and stakeholder management skills. Education BE / BTech / MCA / MSc (Computer Science, IT, AI, Data Science)