RAG Engineer @ MCI Careers

RAG Engineer @ MCI Careers RAG Engineer MCI Careers•, 54d•Onsite Apply About The Position MCI is seeking a highly skilled RAG Engineer to build Retrieval-Augmented Generation (RAG) systems that combine the power of Large Language Models with enterprise knowledge and information retrieval technologies. This role is focused on creating AI solutions that deliver accurate, context-aware responses by leveraging structured and unstructured organizational data. You will play a key role in developing scalable knowledge systems that enhance AI reliability, trust, and business impact. To be considered for this role, you must complete a full application on our company careers page, including all screening questions and a brief pre-employment test. Requirements - Bachelor's Degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, Software Engineering, or a related field. - Minimum 3 years of experience in software engineering, AI engineering, machine learning, or information retrieval. - Strong proficiency in Python and experience developing production-grade applications. - Experience building APIs, microservices, or cloud-native applications. - Solid understanding of Large Language Models (LLMs) and Generative AI concepts. - Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions. - Understanding of embeddings, vectorization techniques, and semantic search methodologies. - Experience working with structured and unstructured data sources. - Knowledge of data ingestion, indexing, and retrieval pipelines. - Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform. - Strong analytical, troubleshooting, and problem-solving skills. - Excellent communication and stakeholder engagement abilities. Nice To Haves - Experience with Pinecone, Weaviate, Milvus, Chroma, or similar vector databases. - Experience with LangChain, LlamaIndex, Haystack, or related frameworks. - Knowledge of knowl