AI Engineer

OPPO US Research Center•Palo Alto, CA

11d•$100,000 - $200,000

About The Position

OPPO AI Center is seeking a passionate AI Engineer to help build next-generation AI products and intelligent agent systems. In this role, you will design, develop, and deploy advanced LLM and AI Agent technologies that integrate text and vision capabilities. You will work closely with cross-functional teams to build scalable AI solutions and bring AI technologies into real-world products and user experiences.

Requirements

Master’s degree in CS, AI, ML, CV, NLP, or a related field; or Bachelor’s degree with 2+ years of industry experience in related areas.
Hands-on experience with LLM APIs and modern foundation models, with solid understanding of model trade-offs across quality, latency, scalability, and cost efficiency in real-world AI applications.
Strong understanding of prompt engineering, context engineering, AI agent architectures, memory and context management, and tool-calling workflows, with the ability to independently perform AI system evaluation, debugging, tuning, and optimization.

Nice To Haves

Experience building and deploying AI agent systems, including tool-use agents, workflow automation agents, and multimodal AI applications in production environments.
Familiarity with modern AI frameworks and ecosystems such as LangChain, OpenAI API, Anthropic API, Gemini API, vector databases, RAG pipelines, and agent orchestration frameworks.
Strong problem-solving and communication skills, with the ability to rapidly prototype, iterate, and collaborate across research, engineering, and product teams in a fast-paced AI development environment.

Responsibilities

Develop and optimize AI applications based on LLMs and multimodal foundation models, with strong understanding of model quality, latency, and cost trade-offs.
Design and improve prompt engineering and context engineering workflows, including AI evaluation, debugging, and tuning for real-world product scenarios.
Build and improve AI agent systems with capabilities such as memory management, context management, and tool usage for production AI applications.