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AI Engineer

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Onsite

AI Engineer

Hong Kong Technology Venture Company Limited

AI Engineer

Skills

Google Cloud PlatformE-commerce WebsitesMobile DevelopmentDockerPythonData SciencePyTorchMachine LearningAIAWSNo-code AutomationsAzure

25 days ago

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Important information


Contract type:

Permanent

Work mode:

Onsite

Published on:

28 September 2026

What they need


What You will be Doing

  • Design, develop, and deploy Agentic AI and Generative AI (GenAI) solutions for enterprise use cases, including information extraction, workflow automation and predictive modelling.
  • Research and evaluate the latest AI models, tools, skills, frameworks, and coding agents to identify suitable technologies for business requirements.
  • Build AI applications using modern LLM frameworks and orchestrate multi-agent workflows where appropriate.
  • Establish evaluation methodologies, observability, and AI guardrails to ensure reliable, secure, and responsible AI systems.
  • Collaborate with software engineers and product teams to integrate AI capabilities into web and mobile applications.
  • Optimize AI application performance, cost, latency, and user experience through continuous experimentation and iteration.
  • Document technical designs, best practices, and reusable AI components.

Who is Our Right Fit

  • Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, Mathematics, Statistics, or a related discipline.
  • 1–2 years of experience in AI software development, machine learning or related fields. (Fresh graduates are also welcome)
  • Hands-on experience building AI applications with coding agents such as Claude Code, Codex, OpenCode, Cursor, or similar AI-assisted development tools.
  • Familiarity with LLM application frameworks such as LangChain, LangGraph, LlamaIndex, or comparable orchestration frameworks.
  • Understanding of prompt engineering, context engineering, RAG (Retrieval-Augmented Generation), and evaluation techniques for LLM applications.
  • Experience with AI observability, testing, monitoring, and guardrails to improve model quality and reliability is an advantage.
  • Familiarity with Python and modern AI/ML libraries (e.g. PyTorch, Transformers, OpenAI SDK, Anthropic SDK, or similar).
  • Basic understanding of REST APIs, Git, Docker, and cloud platforms (AWS, Azure, or GCP) is a plus.
  • Familiarity with e-commerce platforms and online business workflows is an advantage.
  • Strong analytical and problem-solving skills with a proactive, self-driven learning mindset in a rapidly evolving AI landscape.
  • Good command of written and spoken Cantonese, English, and Mandarin.

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