H
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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