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Senior AI Software Engineer (AI)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
China
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior AI Software Engineer (AI/LLM): Designing, developing, and optimizing autonomous AI Agents with an accent on perception, planning, decision-making, and execution. Focus on building core agent capabilities, integrating LLMs, and developing tool ecosystems for real-world product application.

Location: Chengdu, China

Company

Razer is a global gaming lifestyle brand on a mission to revolutionize the way the world games.

What you will do

  • Design and implement efficient, reliable, and scalable AI Agent system architectures.
  • Develop core modules for AI Agents, including task planning, tool usage (APIs, functions), memory mechanisms, and multi-step reasoning.
  • Integrate various LLMs (GPT, Claude, DeepSeek) using prompt engineering and chain-of-thought optimization to build complex workflows.
  • Develop and manage a tool ecosystem including web search, database queries, and code execution.
  • Establish scientific evaluation frameworks for continuous testing and iterative optimization of agent performance and safety.
  • Research and apply cutting-edge advancements in the AI Agent field, such as ReAct, COT, and LangChain.

Requirements

  • Bachelor's degree or higher in Computer Science, Artificial Intelligence, or a related field.
  • Proficiency in Python programming with solid software engineering skills and good coding practices.
  • Hands-on experience in application development using Large Language Models (LLMs) and common LLM APIs.
  • Understanding of fundamental AI Agent frameworks and concepts, such as ReAct and Tool Use.
  • Excellent problem-solving skills, teamwork spirit, and communication abilities.

Nice to have

  • Project experience with AI Agent frameworks like LangChain, LlamaIndex, AutoGen, or CrewAI.
  • Familiarity with vector databases and Retrieval-Augmented Generation (RAG) technology.
  • Understanding and application experience with multimodal models (vision, speech).
  • Relevant open-source projects on GitHub or a technical blog demonstrating passion for AI.

Culture & Benefits

  • Opportunity to make a global impact working across a team spanning 5 continents.
  • Accelerated personal and professional growth within a gamer-centric environment (#LifeAtRazer).
  • Inclusive, respectful, and fair workplace committed to equal opportunity.
  • Dynamic and creative R&D environment focused on practical AI applications.

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