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AI Innovation Manager

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Job Description - AI Innovation Manager

Responsibilities:
  • Conduct ongoing research into the latest AI technologies, tools, and integration patterns to keep our solutions on the cutting edge.
  • Master the art of prompt engineering to elicit the best possible performance from various LLMs.
  • Familiarity with RAG frameworks, vector databases, or Knowledge Base integration.
  • Architect and develop production grade AI agent systems, defining their workflows, tools, and decision-making processes.
  • Collaborate with product and engineering teams to seamlessly integrate AI functionalities into new and existing products.
Requirements:
  • Degree in Information Technology, Artificial intelligence, Computer Science or related discipline.
  • 3 or above years in solution design, system architecture, or AI application development.
  • Excellent communication and project management skills for cost-functional collaboration.
  • Proficiency in Python: Demonstrated ability to write clean, efficient, and scalable Python code is essential.
  • Have AI Application Experience: Proven track record of developing applications and solutions that leverage AI, particularly LLMs.
  • HaveMajor AI Platform Knowledge: Hands-on experience using APIs from at least one major platform (e.g., OpenAI, Google Gemini, Anthropic, Grok).
  • Excellent AI System Design Skills: Ability to design AI workflows, such as multi-step agent systems or LLM-integrated product functions.
  • Experience with Local LLMs: Verifiable experience in setting up and running large language models in a local environment (e.g. ollama, xInference).
If you are applying for in-scope position(s) under the Mandatory Reference Checking Scheme (i.e., A role carrying out regulated activities licensed by the IA, SFC & MPFA), you are required to undergo the Mandatory Reference Checking. Our responsible recruiter will inform you the details of the MRC process and the requirements in due course. For details, please click here .

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