Full Stack AI Audit Application Engineer

• Conduct risk/data analysis for audit projects related to sales, production operations, other operational cycles, and legal compliance processes. 2. Responsible for the front-end and back-end design and development of the large language model (LLM) application system, including user interface, API connection, and data flow design. 3. Cooperate with the audit department to understand business needs and design compliant AI solutions. 4. Integrate mainstream LLM (such as OpenAI, Llama, etc.) APIs, and implement prompt design, MCP, RAG and other technologies. 5. Responsible for system deployment, architecture design, performance optimization and information security protection.

Main Requirements and Qualifications

• Necessary conditions
• 1. Experience in front-end and back-end development, familiar with Python, JavaScript, React/Vue and other technologies.
• 2. Experience in AI/ML application development, familiar with Database(MSSQL,SPLUNK,GCP etc.) process and LLM API connection and application.
• 3. Practical experience in cloud platform (AWS/GCP/Azure) and containerization (Docker/K8s)
• 4. Good communication skills and cross-departmental collaboration.
• Bonus conditions
• 1. Experience in wafer design or semiconductor-related industry sales/production or internal auditing.
• 2. Large-scale data processing: implemented distributed architecture (Spark/Dask) or deep database optimization
• 3. Experience in MCP, RAG and vector database (such as Pinecone, Weaviate, Milvus)
• 4. Process billions of data sets and optimize high-performance data pipelines