CIM資訊工程師

Responsibilities: 

1. Data analysis and data processing. 

2. Design and develop LLM applications such as chatbots, virtual assistants, and content generation tools. 

3. Build and optimize RAG pipelines. 

4. Fine tune LLMs and implement prompt engineering 

5. Collaborate with teams to integrate AI models into daily work flow or business model. 

6. Stay up to date with cutting-edge advancements in generative AI and actively contribute to solution innovation. 

Requirements： 

1. Strong expertise in LLMs and RAG 

2. Experienced in model training, system integration, and developing AI applications  

3. Proficiency in Python, Statistics and key ML/AI development tools (e.g. PyTorch, TensorFlow) 

4. Experienced in developing or deploying AI products or solutions 

5. Experience with MLOps practices(model deployment, CI/CD) is plus

Responsibilities: 

• Design, develop, and maintain full-stack web applications and internal systems. 

• Develop backend services and APIs to support data processing, analytics, and business workflows. 

• Implement frontend interfaces to visualize data, manage workflows, and improve user experience. 

• Build and maintain data processing pipelines for data ingestion, transformation, and storage. 

• Integrate systems with databases, data sources, and external services. 

• Ensure system reliability, performance, security, and scalability. 

• Collaborate with data, AI, and business teams to translate requirements into technical solutions. 

• Participate in system optimization, refactoring, and ongoing maintenance. 

Requirements： 

• Proficiency in backend development using Python, JavaScript, C# or similar server-side languages. 

• Experience with frontend development frameworks (e.g. React, Vue, or similar). 

• Solid experience with SQL and relational databases. 

• Understanding of data processing workflows and system integration. 

• Familiarity with APIs and system architecture design. 

• Ability to work across frontend, backend, and data layers. 

• Strong problem-solving skills and attention to detail. 

Plus (Nice to Have): 

• Experience with cloud platforms, containerization, or CI/CD pipelines. 

• Experience integrating data pipelines or analytics systems. 

• Familiarity with Linux environments or system operations. 

• Experience working in data-driven or enterprise system environments. 

• Exposure to AI or data analytics projects is a plus.