Position Overview:We are seeking a skilled RAG and AI Agentic Developer to join our innovative team. The ideal candidate will have a strong background in artificial intelligence, natural language processing, and software development. This role involves designing, developing, and implementing advanced RAG systems and agent-based solutions that enhance user interaction and content retrieval.Key Responsibilities:Develop and implement Multi-Modal RAG systems that effectively combine retrieval techniques with generative models.Design and create Multi-agentic frameworks that facilitate intelligent, context-aware interactions.Collaborate with data scientists and engineers to refine algorithms and improve the performance of AI models.Conduct thorough testing and validation of developed systems to ensure accuracy and reliability.Stay updated with industry trends and advancements in AI, machine learning, and natural language processing.Prerequisites:Proficiency in programming languages such as Python, Java, C/C++Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch).Familiarity with natural language processing (NLP) techniques and libraries.Experience with retrieval systems and techniques, including search algorithms and indexing.Proven experience in developing AI or machine learning applications, preferably in a RAG or agent-based context.Familiarity with leading embedding models and techniques such as OpenAIs models, BERT, and Sentence Transformers.Experience in deploying applications on cloud platforms.