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, LangChain, LangGraph, etc.
Experience with Semantic Kernel is highly desirable
Very solid hands-on experience with core AWS services relevant to AIML and software development e.g. S3, EC2, Lambda, SageMaker, DynamoDB, etc.
Expertise in modern software development practices including Git/GitHub, Agile methodologies, Scrum/Kanban, and CICD 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 models
Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes