TVB Limited
Software Analyst (AI-assisted Development)
Skills
16 days ago
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Important information
Contract type:
Permanent
Location:
Hong Kong
Work mode:
Onsite
Published on:
5 October 2026
What they need
Responsibilities:
Gather, analyze document business and system requirements, including AI/ML and data-driven use cases
Translate functional requirements into technical specifications, user stories, and system/process workflows
Support design and implementation of AI-enabled solutions such as RAG pipelines, knowledge bases, or workflow automation
Collaborate with development teams on integrating AI services (e.g., LLM APIs, embeddings, retrieval systems) into applications
Assist in coordinating system development, testing, UAT, and deployment activities
Utilize AI tools (e.g., GitHub Copilot, Gemini, LLM platforms) to enhance analysis, documentation, and testing efficiency
Participate in validation and evaluation of AI outputs, including prompt tuning, result quality checks, and basic performance monitoring
Support system integration via APIs and ensure alignment with architecture and security standards
Assist in monitoring system performance, including basic tracking of latency, usage, and error handling for AI services
Maintain system documentation, including functional specs, workflows, and user guides
Ensure compliance with data privacy, security, and governance requirements when handling sensitive data
Requirements:
Bachelor’s degree or above in Computer Science, Information Technology, Engineering, or related discipline
Minimum 2 years of experience in system analysis, business analysis, or application development
Solid understanding of SDLC and experience in requirements gathering and documentation
Basic programming or scripting knowledge (e.g., Python, Node.js, Java, PHP) is preferred
Familiarity with databases such as MySQL, MongoDB or PostgreSQL
Exposure to AI/ML concepts, such as LLMs, prompt engineering, embeddings, or RAG, is an advantage
Experience working with APIs and system integration
Knowledge of cloud platforms (AWS, Azure, GCP, Alibaba Cloud, Tencent Cloud) is a plus
刊登日期 2026/10/05
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