Job Title: AI Engineer - Graph RAG and LLM Models Specialist 

Location: Bangalore

Job Type: Full-time 

About the Role: We are seeking a highly skilled and experienced AI Engineer to join our dynamic team. The ideal candidate will have extensive knowledge and hands-on experience in working with concepts of Graph Relational Augmented Generation (Graph RAG) and building large language models (LLMs) tailored for integration with Microsoft Co-pilot and Open Azure AI. Additionally, the candidate should possess strong expertise in relational databases, particularly across SQL and other Microsoft technologies. This role will focus on leveraging the Azure Samples Graph RAG Accelerator to develop and deploy live AI applications. 

Key Responsibilities: 

• Design, develop, and implement Graph RAG models to enhance data relationships and knowledge retrieval. 
• Build, train, and fine-tune LLMs to work seamlessly with Microsoft Co-pilot and Open Azure AI. 
• Integrate AI models with relational databases, ensuring robust and efficient data management. 
• Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications. 
• Deploy and maintain AI applications in live environments, ensuring high availability and performance. 
• Utilize the Azure Samples Graph RAG Accelerator to accelerate development and deployment processes. 
• Continuously monitor and optimize the performance of AI models and applications. 
• Stay up-to-date with the latest advancements in AI, machine learning, and Microsoft technologies. 

Qualifications: 

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 
• Proven experience in developing and deploying AI models, specifically Graph RAG and LLMs. 
• Strong proficiency in working with relational databases (SQL) and other Microsoft technologies. 
• Hands-on experience with Microsoft Azure, including Azure AI and related services. 
• Familiarity with the Azure Samples Graph RAG Accelerator is highly desirable. 
• Solid understanding of machine learning frameworks and libraries. 
• Excellent problem-solving skills and the ability to work independently and as part of a team. 
• Strong communication skills, both written and verbal. 

Preferred Skills: 

• Experience with Microsoft Co-pilot integration. 
• Knowledge of cloud-based AI deployment and management. 
• Proficiency in programming languages such as Python, R, or similar. 
• Familiarity with DevOps practices and tools for continuous integration and deployment.