Generative AI and LLM Engineer

Key Responsibilities

• Assist in developing and implementing Generative AI applications using Large Language Models (LLMs).
• Design, test, and optimize prompts to improve AI-generated responses.
• Support the development of Retrieval-Augmented Generation (RAG) pipelines for document-based question answering.
• Work with Python and AI frameworks such as LangChain and LlamaIndex.
• Explore LLM APIs and open-source models to build AI-powered chatbots and virtual assistants.
• Work with vector databases and embedding models for semantic search and information retrieval.
• Assist in integrating AI models with APIs, databases, and web applications.
• Test AI outputs for accuracy, relevance, consistency, and reliability.
• Collaborate with development teams to troubleshoot issues and improve AI application performance.
• Stay updated with emerging Generative AI technologies, tools, and best practices. Required Skills
• Basic to intermediate knowledge of Python programming.
• Understanding of AI, machine learning, NLP, and LLM fundamentals.
• Familiarity with prompt engineering and Generative AI concepts.
• Basic understanding of RAG, embeddings, and vector databases.
• Familiarity with REST APIs, Git, and common development tools.
• Strong analytical, problem-solving, and communication skills.
• Willingness to learn new AI technologies and work on practical projects.