Senior AI Engineer
Virtusa
Office
NSW
Full Time
Senior AI Engineer-(CREQ232819)
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 AI/ML 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 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 models
Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.
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, LangChain, LangGraph, 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, SageMaker, 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 models
Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.
Primary Location
:AU-NSW-SydneySchedule
:Full TimeEmployee Status
:Individual ContributorJob Type
:ExperiencedTravel
:NoJob Posting
:13/09/2025, 7:29:19 AMSenior AI Engineer
Office
NSW
Full Time
September 13, 2025