AI Engineer

OPPO US Research Center

Palo Alto (CA)

On-site

USD 100,000 - 200,000

Full time

14 days+
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Benefits offered by this job

Bonus
Long-term incentives
Equal opportunity workplace

Job summary

OPPO US Research Center in Palo Alto is seeking a passionate AI Engineer to help develop next‑generation AI products and systems. You will work on advanced LLM and AI Agent technologies, integrating text and vision capabilities for real-world applications.

The ideal candidate should have experience with AI applications, strong problem-solving skills, and the ability to collaborate across teams. This full-time position offers a competitive salary ranging from $100,000 to $200,000, plus bonuses and benefits.

Qualifications

  • Master’s or Bachelor’s degree in relevant fields with industry experience.
  • Hands-on experience with LLM APIs and foundation models.
  • Strong understanding of AI system evaluation and optimization.

Responsibilities

  • Develop and optimize AI applications based on LLMs.
  • Design workflows for AI evaluation and tuning.
  • Build AI agent systems with memory and context management capabilities.

Skills

LLM APIs
Prompt engineering
Context engineering
AI agent architectures
Problem-solving

Education

Master’s degree in CS, AI, ML, CV, NLP, or related field
Bachelor’s degree with 2+ years of industry experience

Tools

LangChain
OpenAI API
Vector databases

Job description

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.

Key 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.
Minimum Qualifications
  • 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.
Preferred Qualifications
  • 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.

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–$200,000 + bonus + long‑term incentives benefits. Our salary ranges are determined by role, level, and location.

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