人工智能应用工程师,亚太区
AI Application Engineer, APJ
关于 Arize
AI 正在迅速改变世界。随着生成式 AI 重塑各个行业,团队需要强大的方式来监控、排查问题并优化他们的 AI 系统。这就是我们的用武之地。Arize AI 是领先的 AI 与智能体工程可观测性和评估平台,使 AI 工程师能够交付高性能、可靠的智能体和应用。从第一个原型到生产规模,Arize AX 在一个工作区中统一了构建、测试和运行——让团队可以更有信心地快速交付。
我们是一家 C 轮融资公司,由顶级投资者支持,获得超过 1.35 亿美元的融资,并拥有快速增长的客户群,包括 150 多家领先企业和财富 500 强公司。Booking.com、Uber、西门子和百事公司等客户使用 Arize 来实现有效运作的 AI。
机会介绍
我们正在寻找一位 AI 应用工程师,他擅长通过代码解决难题。在这个职位上,你将有机会在生成式 AI 的最前沿工作,拥有自主权和责任感。虽然我们是一家以远程办公为主的企业,但该职位要求候选人位于新加坡地区。
你将负责
- 调试并修复我们平台的问题(并提交包含你修复的 PR)。
- 构建由生成式 AI 驱动的内部工具和协作者,提升我们团队的效率。
- 快速为客户的用例构建原型。
- 与工程、产品和解决方案团队合作,解除客户障碍,推动 AI 采用的边界。
我们寻找的人选
- 具有 2-5 年软件经验。
- 精通 Python 和 Golang;熟悉在生产系统中发布修复。
- 熟练使用生成式 AI(LLM API、框架、构建协作者或自动化工具)。
- 熟悉 OpenTelemetry 和分布式追踪概念。
- 熟悉 AI 框架(CrewAI、Langchain、Langgraph、DiFy、LiteLLM 等)。
- 熟悉或有意愿学习 JavaScript/TypeScript。
- 优秀的调试者,富有创造力的问题解决者,快速学习者。
- 独立且善于利用资源。你创造解决方案,而不是依赖他人。
加分项(非必需)
- 有面向客户的工作经验
- 构建过协作者、插件或自定义生成式 AI 驱动的应用程序
- 开源或对真实代码库做出过 PR 贡献
- 有初创企业或快节奏环境的经验
实际薪资根据多种与工作相关的因素确定,可能包括可转移的工作经验、技能集和资格
查看英文原文
About Arize
AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence.
We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.
The Opportunity
We’re looking for an AI Application Engineer who thrives on solving hard problems with code. In this role, you'll have the opportunity to work at the cutting edge of generative AI in a high-impact role with autonomy and ownership. While we are a remote-first company, the nature of this role requires candidates to be based in the Singapore area.
What You’ll Do
- Debug and fix issues in our platform (and ship PRs with your fixes).
- Build internal tools and copilots powered by generative AI to supercharge our team.
- Rapidly prototype proof-of-concepts for customer use cases.
- Work across Engineering, Product, and Solutions to unblock customers and push the boundaries of AI adoption.
What We’re Looking For
- You have 2-5 years of experience in software.
- Strong in Python and Golang; comfortable shipping fixes in production systems.
- Hands-on with generative AI (LLM APIs, frameworks, building copilots or automations)
- Hands-on with OpenTelemetry and deep familiarity with distributed tracing concepts.
- Familiarity with AI frameworks (CrewAI, Langchain, Langgraph, DiFy, LiteLLM, etc).
- Familiarity or eagerness to learn JavaScript/TypeScript.
- Great debugger, creative problem solver, and fast learner.
- Independent and resourceful. You create solutions, not dependencies.
Bonus Points (but not required!)
- Experience in a customer-facing role
- Built copilots, plugins, or custom GenAI-powered applications.
- Open-sourced or contributed PRs to real codebases.
- Startup or fast-moving environment experience.
Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Arize is committed to offering competitive and locally compliant compensation and benefits packages for employees outside the United States. Benefits, employment terms, and statutory offerings vary by country and will be shared during the hiring process based on the location of the role. Eligibility for specific programs and benefits is determined by local laws, market practices, and employment arrangements.
More About Arize
Arize’s mission is to make the world’s AI work—and work for people.
Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale.
Learn more about what we're doing here:
https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/
https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/
Diversity & Inclusion @ Arize
Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture
- Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI
- Culturally conscious events such as LGBTQ trivia during pride month
- We have an active Lady Arizers subgroup