Artificial Intelligence Engineer - LLM/RAG

<p><p><b>Description :</b></p><p><br/></p><p>We are seeking an AI Engineer with hands-on experience in Azure AI services, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) to join our team.<br/><br/></p><p>The ideal candidate will design, develop, and deploy intelligent solutions using generative AI, AI agents, and conversational systems.<br/><br/></p><p>This role involves working closely with data scientists, architects, and business stakeholders to deliver scalable AI-powered applications and integrate them into enterprise systems.<br/><br/><b>Roles and Responsibilities :</b></p><p><p><b><br/></b></p>- Develop AI solutions using Azure OpenAI and Cognitive Services.<br/><br/>- Build and optimize LLM-based applications with RAG, prompt engineering, and fine-tuning.<br/><br/>- Develop and deploy AI agents for task automation, conversational AI, and knowledge management.<br/><br/>- Integrate AI systems with enterprise applications, APIs, and data sources.<br/><br/>- Collaborate with data engineers and scientists to prepare and manage training datasets.<br/><br/>- Ensure AI solutions follow security, compliance, and responsible AI guidelines.<br/><br/><b>Experience :</b></p><p><p><b><br/></b></p>- 2- 4 years of experience in AI/ML engineering, with at least 1 year in LLM and GenAI projects.<br/><br/>- Experience with Azure AI stack or Open-Source models using ollama or llama.<br/><br/>- Hands-on expertise in building RAG pipelines and integrating vector databases (Azure AI Search, Milvus, Qdrant etc.<br/><br/>- Experience developing and orchestrating AI agents using frameworks like LangChain.<br/><br/>- Strong Python programming skills; experience with APIs (FastAPI) for deployment.<br/><br/>- Familiarity with containerization (Docker).<br/><br/>- Understanding of prompt engineering, embeddings, and fine-tuning approaches.<br/><br/>- Knowledge of MLOps practices, model lifecycle management, and monitoring.<br/><br/>- Knowledge in enterprise security, data privacy, and responsible AI principles.<br/><br/>- Strong communication and collaboration skills to work with cross-functional teams.</p><br/></p> (ref:hirist.tech)