AI Engineer

OPPO US Research Center

$100K — $200K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in CS, AI, ML, CV, NLP, or related field; or Bachelor's with 2+ years of experience.
  • Hands-on experience with LLM APIs and modern foundation models.
  • Strong understanding of prompt engineering and context management in AI systems.
  • Ability to independently evaluate, debug, tune, and optimize AI systems.
  • Preferred experience in deploying AI agents and multimodal applications.

Responsibilities

  • Develop and optimize AI applications using LLMs and multimodal models.
  • Design and improve workflows for prompt and context engineering.
  • Build and enhance AI agent systems focusing on memory and context management.
  • Collaborate with cross-functional teams to scale AI solutions in actual products.
  • Evaluate AI model quality, latency, and cost trade-offs.

Benefits

  • Opportunity to work on next-generation AI products.
  • Cross-functional collaboration with research, engineering, and product teams.
  • Exposure to advanced AI technologies and applications.
  • Involvement in real-world product development and user experience enhancement.
  • Potential for bonuses and long-term incentives.
Full 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.

Requirements

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.

Benefits

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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