Senior AI Software Engineer
Razer is hiring a Senior AI Software Engineer. Level rates it ; you can apply on Razer.
Level's read on this job
- Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
- Tools and skills the posting cites include Claude, Deepseek and LangChain.
- Level classifies it as a senior role.
- Level lists 148 other open roles at Razer.
AI in this role
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.
Job Responsibilities/ 工作职责 :
Job Overview:
We are seeking a passionate and creative AI Agent Software Engineer. You will be a key member of our core AI R&D team, responsible for designing, developing, and optimizing AI Agents capable of autonomous perception, planning, decision-making, and execution. You will own the entire lifecycle from proof-of-concept to product launch, making a significant impact on the practical application of AI technology.
Key Responsibilities:
Design & Development: Participate in designing and implementing efficient, reliable, and scalable AI Agent system architectures.
Agent Core Capability Building: Develop the core modules of Agents, including but not limited to: task planning and decomposition, tool usage (APIs, functions), memory mechanisms (short-term/long-term), multi-step reasoning, and self-reflection capabilities.
Large Language Model Integration & Application: Gain a deep understanding of and integrate various large language models (e.g., GPT, Claude, DeepSeek), leveraging their capabilities for prompt engineering, chain-of-thought optimization, and building complex Agent workflows.
Tool Ecosystem Development: Develop and manage a suite of tools (e.g., web search, database query, code execution, software API calls) for Agents, expanding their capability boundaries.
Evaluation & Iteration: Establish a scientific evaluation framework for the continuous testing, measurement, and iterative optimization of AI Agent performance, reliability, and safety.
Technology Exploration: Stay abreast of the latest research advancements in the AI Agent field (e.g., ReAct, COT, LangChain, AutoGPT) and apply cutting-edge techniques to real-world products.
Qualifications:
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), familiar with common LLM APIs and usage patterns.
Understanding of fundamental AI Agent frameworks and concepts (e.g., ReAct, Tool Use).
Excellent problem-solving skills, teamwork spirit, and communication abilities.
Preferred Qualifications:
Project experience with mainstream AI Agent development frameworks (e.g., LangChain, LlamaIndex, AutoGen, CrewAI).
Familiarity with vector databases and Retrieval-Augmented Generation (RAG) technology.
Some understanding and application experience with multimodal models (vision, speech).
Relevant open-source projects on GitHub or a technical blog demonstrating passion and understanding of AI technology.
职位概述:
我们正在寻找一位充满热情、富有创造力的AI Agent软件工程师。您将成为我们核心AI研发团队的一员,负责设计、开发和优化能够自主感知、规划、决策和执行的AI Agent。您将对从概念验证到产品上线的整个生命周期负责,并对AI技术的实际应用产生深远影响。
主要职责:
设计与开发:参与设计并实现高效、可靠、可扩展的AI Agent系统架构。
Agent核心能力构建: 开发Agent的核心模块,包括但不限于:任务规划与分解、工具调用(API、函数)、记忆机制(短期/长期)、多步推理与自我反思能力。
大语言模型集成与应用: 深入理解和集成各类大语言模型(如GPT、Claude、DeepSeek等),利用其能力进行提示工程、思维链优化,并构建复杂的Agent工作流。
工具生态建设: 为Agent开发和管理一系列工具(如网络搜索、数据库查询、代码执行、软件API调用),扩展其能力边界。
评估与迭代: 建立科学的评估体系,对AI Agent的性能、可靠性、安全性进行持续测试和迭代优化。
技术探索: 紧跟AI Agent领域的最新研究进展(如ReAct、COT、LangChain、AutoGPT等),并将先进技术应用于实际产品中。
任职要求:
计算机科学、人工智能或相关领域的学士及以上学位。
熟练掌握Python编程语言,具备扎实的软件工程能力和良好的编码习惯。
拥有基于大语言模型(LLM)进行应用开发的实际经验,熟悉常见的LLM API和使用模式。
了解AI Agent的基本框架和概念(如ReAct, Tool Use等)。
具备良好的问题解决能力、团队合作精神和沟通能力。
优先考虑:
有使用主流AI Agent开发框架(如LangChain、LlamaIndex、AutoGen、CrewAI)的项目经验。
熟悉向量数据库及相关检索增强生成(RAG)技术。
对多模态模型(视觉、语音)有一定的了解和应用经验。
在GitHub上有相关的开源项目或技术博客,能够展示您对AI技术的热情和理解。
Pre-Requisites/ 任职要求 :
Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best.
Are you game?
How we rate this
Senior AI Software Engineer at Razer rates 93 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $167k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- What's a project where you used Claude hands-on?
- Walk me through how you've used Deepseek in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, AI agents, Claude, and Deepseek. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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