Agentic AI Engineer
Job Description
We are seeking a talented and enthusiastic Generative AI Engineer to join our growing AI practice. The ideal candidate should have hands-on experience in developing Generative AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Python. Exposure to cloud platforms such as AWS, Azure, or GCP is essential. This role involves building AI-powered applications, intelligent assistants, chatbots, and enterprise knowledge solutions utilizing modern GenAI frameworks and cloud-native technologies. Technical Requirements: • Primary skills:Artificial Intelligence->Artificial Intelligence - ALL,Technology->Data Science->Machine Learning->Generative AI->LLM Responsibilities: • Design, develop, and deploy Generative AI applications using Large Language Models (LLMs). • Build and maintain Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases. • Develop AI-powered chatbots, virtual assistants, document intelligence, and knowledge search solutions. • Create scalable backend services and APIs using Python. • Integrate LLMs with enterprise applications, databases, and external APIs. • Work with vector databases for semantic search and document retrieval. • Deploy AI solutions on AWS, Azure, or GCP cloud platforms. • Optimize prompts, embeddings, and retrieval mechanisms for improved performance. • Collaborate with Data Scientists, ML Engineers, and Cloud Engineers to deliver production-ready AI solutions. • Implement monitoring, evaluation, and governance for GenAI applications. Preferred Skills: Technology->AI-Data science->Machine Learning,Technology->AI-Generative AI->Artificial Intelligence - BASIC,Technology->AI-Generative AI->Generative AI for Data Analytics