Full Stack AI Audit Application Engineer

Job Description

• Conduct risk/data analysis for audit projects related to sales, production operations, other operational cycles, and legal compliance processes.
  • 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.
  • Cooperate with the audit department to understand business needs and design compliant AI solutions.
  • Integrate mainstream LLM (such as OpenAI, Llama, etc.) APIs, and implement prompt design, MCP, RAG and other technologies.
  • 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