Key Responsibilities : - Design, develop, and deploy Generative AI applications using LLMs and modern AI frameworks.- Build and optimize RAG-based solutions to enable context-aware information retrieval and generation.- Develop AI agents and agentic AI workflows to automate complex tasks and business processes.- Implement effective prompt engineering techniques to improve model accuracy, relevance, and response quality.- Develop AI-powered applications, chatbots, virtual assistants, and intelligent automation solutions.- Integrate LLMs, APIs, vector databases, and external data sources into AI applications.- Evaluate model performance, troubleshoot issues, and optimize AI solutions for accuracy, scalability, and reliability.- Collaborate with cross-functional teams and stakeholders to understand requirements and deliver effective AI solutions.- Stay updated on emerging Generative AI technologies, frameworks, tools,



and industry best practices.Required Skills & Qualifications : - Solid programming and coding proficiency in Python is mandatory.- Strong understanding of Generative AI concepts and Large Language Models (LLMs).- Hands-on knowledge of Retrieval-Augmented Generation (RAG) and semantic search.- Understanding of AI agents, agentic AI architectures, and multi-step AI workflows.- Knowledge of prompt engineering techniques and LLM application development.- Familiarity with APIs, data processing, and integrating AI models into applications.- Strong analytical, problem-solving, and debugging skills.- Ability to learn new technologies quickly and work in a collaborative environment. (ref:hirist.tech)

📌 Generative AI Engineer - LLM/RAG (Hyderabad)
🏢 KPI PARTNERS INDIA PRIVATE
📍 Hyderabad