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Manager (AI Engineer), Masters Programmes (at the rank of Executive Officer) in the Faculty of Business and Economics (Ref.: 537085) (to commence as soon as possible, on a two-year fixed-term basis with contract-end gratuity and University contribution to a retirement benefits scheme, totaling up to 10% of basic salary, with the possibility of renewal subject to satisfactory performance) Key Responsibilities including but not limited to: • analyze data, processes, and operational needs to identify opportunities for applying artificial intelligence and advanced analytics; • design, develop, deploy, and continuously improve secure and reliable AI solutions, including agentic and RAG workflows using LangGraph and LangChain; • provide research and technical support to the Faculty’s Masters Programmes Office in areas related to admissions, students’ performance, career-related services, and programme administration. • collaborate with academic, administrative, IT, and data-governance stakeholders to translate business requirements into practical solutions and integrate them with existing systems and workflows; • manage the production lifecycle of AI applications, APIs, system integrations, and data pipelines, including cloud deployment, CI/CD, monitoring, incident response, documentation, and performance and cost optimization; and • keep abreast of developments in artificial intelligence, evaluate their potential application within the Faculty, and carry out other duties as assigned. Qualifications: • bachelor’s degree or above in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related discipline, with strong software-engineering foundations; • approximately 5 years of relevant software, machine-learning, or AI engineering experience, including a proven record of deploying and operating production generative-AI applications. Technical leadership experience is highly desirable; • advanced proficiency in Python and SQL, with hands-on experience building production APIs using FastAPI or an equivalent framework. Knowledge of TypeScript or JavaScript is an advantage. • production experience with LangGraph and LangChain is required. Familiarity with LlamaIndex, DSPy, Microsoft Agent Framework, OpenAI Agents SDK or comparable tools is advantageous; • strong knowledge of LLM and agent integration, tool calling, structured outputs, RAG, embeddings, vector databases, context engineering, evaluation, observability, guardrails, and human-in-the-loop design; • hands-on experience developing multimodal pipelines for speech, documents, images, and video. • experience with cloud platforms, Docker, Kubernetes, infrastructure as code, CI/CD, and MLOps or LLMOps practices; • sound knowledge of privacy-by-design, application security, responsible AI, and data governance; and • experience in higher education and proficiency in written and spoken English and Chinese, including Putonghua, are advantageous. The appointee will work at the Faculty's Cyberport campus. Shortlisted candidates will be invited to attend an interview. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The University only accepts online application for the above post. Applicants should apply online at the University’s careers site (http://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will commence as soon as possible and continue until August 27, 2026 , or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.