Senior AI Data Engineer

We are seeking a forward-thinking AI Data Engineer to bridge the gap between our user data assets and advanced AI capabilities. In this role, you will be the architect of our user data foundation, building a robust data warehouse and a dynamic tagging system. Crucially, you will leverage this data to integrate with third-party Large Language Models (LLMs), enabling intelligent, data-driven interactions and next-generation user experiences.

Key Responsibilities

• User Data Warehouse Construction & Architecture

• Data Tagging & Profile System (User 360)

• LLM Integration & Data Intelligence

• Intelligent Interaction Development

• Education: Master’s degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field.
• Experience: 3-5 years of experience in Data Engineering or Backend Development with a focus on data.

• Data Stack:

• AI/LLM Skills:

• Soft Skills: Strong problem-solving abilities and the ability to translate business needs into technical data requirements.

Preferred Skills (Nice to Haves)

• Experience with Prompt Engineering and optimizing context windows for efficient data feeding.
• Knowledge of Knowledge Graphs (Neo4j, NebulaGraph) and how to combine them with LLMs.
• Experience in model fine-tuning (SFT, RLHF).
• Familiarity with privacy regulations (GDPR/CCPA) regarding user data and AI.
• Experience with mature launched projects serving a large user base on cloud platforms (AWS, etc.).

OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

The US base salary range for this full-time position is $100,000-$300,000 bonus long term incentives benefits. Our salary ranges are determined by role, level, and location.