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About the role
Job Responsibilities
• Develop and maintain AI application and ML models for tasks including natural language processing, computer vision ensuring high performance and scalability, with a strong focus on building and optimizing Retrieval-Augmented Generation (RAG) applications using Azure AI Search or related tools for efficient information retrieval and indexing.
• Research, design, and implement agentic AI workflows, enabling autonomous agents to handle complex, multi-step tasks through tool integration and decision-making logic.
• Explore and prototype latest AI and ML concepts, such as the Model Context Protocol (MCP), to enhance application interoperability and functionality.
• Conduct performance tuning, A/B testing, and monitoring of AI and ML systems in production environments, deploying solutions on OpenShift for containerized orchestration.
• Perform prompt tuning upon use of large language model (LLM) and any other foundation models to achieve requirements
• Collaborate with software engineers and solution architects to embed AI and ML capabilities into web /mobile applications, using Python for scripting, automation, and model development in prototype level
• Document technical designs, contribute to code reviews, and maintain best practices in AI and ML.
Requirements / Qualifications
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• Bachelor's or Master's degree in Computer Science, Data Science, Electrical Engineering, or a related field.
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• 2+ years of professional experience in Data Science and Machine Learning or enterprise application development
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• Experience in AI engineering or software development with AI components is advantage
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• Experience in using different large language models such as OpenAI, Anthropic, Amazon Nova, Meta Llama etc. is a plus
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• Strong experience with cloud platforms (AWS, GCP, or Azure) for deploying AI and ML workloads, with specific hands-on knowledge of cloud platform offerings such as Azure AI Search and Copilot Studio for RAG and agentic implementations is a plus
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• Excellent problem-solving skills and ability to work in agile environments.
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• Strong communication skills, with the ability to explain complex AI and ML concepts to non-technical stakeholders.
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• Experience with vector databases or knowledge graphs for RAG is a plus. Job type: Contract Division: eTeam Workforce Limited- HK Reference: 26-00500
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