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AI Application Engineer, APJ

Arize AI · Remote (Singapore)

Remote
LangChainArizeObservabilityPythonTypeScriptJavaScriptOpenAI APITool useOrchestrationLLM-as-judgeLangSmithGoGPU

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  JavaScrip

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