AI Engineer - Digital Development Centre

Siemens; Hong Kong; On-site; HKD 420,000 - 660,000; Full time

Job summary

Siemens in Hong Kong seeks a proactive AI software engineer to design and prototype AI-enabled solutions and orchestration workflows for digital transformation. You will work under technical guidance to develop AI features and orchestrate workflows using LLMs, RAG and Siemens platforms.

Join a multidisciplinary team to integrate AI prototypes with simulation, digital twins and operational data, while ensuring logging, explainability and maintainable code.

Qualifications

• 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

Responsibilities

• Support design and development of AI solutions and orchestration workflows for digital transformation projects
• 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 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

Skills

Python

OOP

Debugging

Software testing

Analytical skills

Learning ability

Problem solving

Proactiveness

English proficiency

Chinese language (Cantonese/Mandarin)

TypeScript

Java

Education

Bachelor’s or Master’s degree in Computer Science/AI/Data Science/Engineering

Tools

Git

Docker

LangChain

LangGraph

Semantic Kernel

Vector databases

Cloud platforms

Model evaluation

Monitoring

TypeScript

Java

Job description

Location(s)

- 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