AI Engineer
Job description
"Minimum of 10 years of professional experience in Python programming and data-related fields. Minimum of 2 years of hands-on experience in designing and implementing RAG (Retrieval-Augmented Generation) systems." "Demonstrable experience with Agentic AI frameworks (e.g., Semantic Kernel, Lang. Chain, Lang. Graph, etc.)
Experience with Semantic Kernel is highly desirable. Very solid, hands-on experience with core AWS services relevant to AI/ML and software development (e.g., S3, EC2, Lambda, Sage. Maker, DynamoDB, etc.)" "Expertise in modern software development practices, including Git/GitHub, Agile methodologies (Scrum/Kanban), and CI/CD pipelines.
Exposure to .net stack" "Strong experience with Data Deep understanding of large language models (LLMs) and their application in real-world scenarios." "Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication and collaboration skills." Experience with MLOps and productionizing machine learning
Description copied from Virtusa's careers page. Read the full posting before you apply.
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