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Full Stack AI Audit Application Engineer

Mediatek — Taiwan · Posted ~4 days ago

Skills

Full-stack development Python JavaScript React Vue AI/ML application development LLM API integration Prompt engineering MCP RAG Database development System deployment Architecture design Performance optimization Information security Risk and data analysis OpenAI Llama LLM APIs MSSQL Splunk GCP

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Summary ✨ AI‑Generated

Join a technical team building AI-powered applications that support audit, compliance, and operational decision-making. You will own both front-end and back-end development, connect LLM APIs, design prompts and retrieval workflows, and work with modern AI integration patterns such as MCP and RAG. The role also covers architecture, deployment, performance, data, and security, making it a strong opportunity for an engineer who enjoys broad end-to-end ownership.

Highlights

Opportunity to build end-to-end AI applications for audit and compliance workflows, combining modern LLM technologies with full-stack engineering. The role offers broad ownership across application architecture, APIs, data flows, deployment, performance, and security while working closely with business stakeholders.

Description

Job Description 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 conditions1. 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 conditions1. 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 optimization3. Experience in MCP, RAG and vector database (such as Pinecone, Weaviate, Milvus)4. Process billions of data sets and optimize high-performance data pipelines