AI Engineer - Digital Development Centre

Siemens España; Hong Kong; On-site; HKD 300,000 - 520,000; Full time

Job summary

Siemens Mobility Limited in Hong Kong is seeking a Junior Professional to support AI solution design and development for digital transformation projects. The role includes building prototypes with LLMs, RAG and enterprise AI platforms, and collaborating with cross‑functional teams in an agile setting.

You will work under guidance to test AI features, ensure traceability, and contribute to reusable components.

Qualifications

• Bachelor's or Master's degree in CS, AI, Data Science or related field.
• Up to 3 years of software/AI development experience.
• Strong Python foundation and OO programming.
• Experience with Git and writing clear code and documentation.
• Familiarity with APIs, prompt engineering, embeddings and RAG.
• English proficiency; Cantonese/Mandarin an advantage.

Responsibilities

• Support design and development of AI solutions 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.
• Build working prototypes using large language models, retrieval‑augmented generation (RAG), APIs and Siemens 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 per project requirements.
• Create test cases, run experiments and evaluate 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 in an agile environment.
• Keep up with developments in applied AI and share practical findings with teams.

Skills

Python

Object-oriented programming

Git

AI development

English communication

Education

Bachelor's or Master's degree in CS/AI or related field

Tools

LangGraph

LangChain

Docker

Semantic Kernel

Job description

527401

28-Oct-2026

Mobility

Siemens Mobility Limited

Profesional Junior

• Hong Kong - Hong Kong - Hong Kong

About the role

Job scope:

• 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

Job 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