AI Engineer

AI Engineer

Siemens Mobility Limited

If you really want to make a difference – make it with us

Mobility goes digital. Siemens Mobility is the world’s leading provider of mobility solutions that enable the efficient, safe and environmentally friendly transport of people and goods – and help improve the quality of everyday life for millions of people in Hong Kong. Driven by innovation, we develop intelligent solutions for the increasing digitalization of the transport sector. Our range of offerings includes rail vehicles, rail automation, road traffic management systems and rail electrification. Our data-driven services offer customers value-added that is unique, and not only in our industry. We are looking for the best talent to shape the technology of the future. Come build your career in one of the best companies in the world! Welcome to visit: https://www.mobility.siemens.com/hk/en.html

Responsibilities:

• Support the design and development of AI solutions, intelligent applications and orchestration workflows for digital transformation projects, from early prototype through pilot, under technical guidance

• Develop and test AI-assisted features for scenario analysis, decision support and operator advisory, with clear separation from vital, safety-related functions

• Build working prototypes using large language models, retrieval-augmented generation (RAG), APIs and Siemens enterprise AI platforms such as the LLM Gateway

• Support integration of AI prototypes with simulation, digital-twin, operational-data and test environments

• Implement logging, traceability and explainability features based on defined project requirements

• Create test cases, run experiments and evaluate the quality, reliability and limitations of AI outputs using agreed methods and metrics

• Follow established software engineering, secure development, testing and version-control practices

• Build simple human–AI interface prototypes and demonstrate results to project teams and stakeholders

• Contribute to reusable AI components, technical documentation and team knowledge sharing

• Collaborate with AI, software, system and safety engineers, as well as global Siemens teams, in an agile working environment

• Keep up with developments in applied AI, experiment with relevant technologies and share practical findings with teams

Requirements:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering or a related field

• Up to 3 years of experience in software, data or AI development. Fresh graduates with relevant academic projects, internships, research or personal portfolios are also welcome

• Good programming foundation in Python and familiarity with object-oriented programming, debugging and basic software testing

• Basic understanding of large language model applications, APIs, prompt engineering, embeddings and retrieval-augmented generation (RAG)

• Practical experience using Git and the ability to write clear, maintainable code and technical documentation

• Strong analytical and learning ability, attention to details and willingness to explore fast-moving technologies responsibly

• Ability to understand operational or business problems; contribute to practical AI solutions and work effectively in a multidisciplinary team

• Proactive, responsible and willing to contribute ideas, seek feedback and see ambiguity as an opportunity to experiment and grow

• Good written and spoken English; Cantonese and/or Mandarin is an advantage

• Exposure to LLM or agent frameworks such as LangGraph, LangChain, AutoGen or Semantic Kernel; Vector databases, cloud platforms, Docker, model evaluation or monitoring is an advantage

• Knowledge of TypeScript or Java, simulation, digital twins, machine learning frameworks, knowledge graphs, blockchain or immutable ledger technologies is also a plus

How to Apply:

We are an equal opportunity employer and welcome applications from all qualified candidates. Attractive remuneration package and excellent career prospects will be offered to the right candidate. Interested persons, please send your full resume with expected salary in your application by clicking “Apply Now”.

Applicants not hearing from us within 4 weeks from the date of advertisement may consider their applications filed for future reference. We reserve the right to review applications received for suitability for other posts within the company. Personal data provided by job applicants will be used strictly for recruitment related purpose only. We shall retain the personal data of unsuccessful applicants for a period of 2 years.