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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 of150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.
Note: The nature of this role requires candidates to be based in the Buenos Aires area, though there isn't an in-office requirement.
The Opportunity
We’re looking for an 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.
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 Open Telimetry and deep familiarity with distributed tracing concepts.
- Familiarity with AI frameworks (CrewAI, Langchain, Langgraph, Di Fy, 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. Total compensation also includes unlimited paid time off, generous parental leave plan, and others for mental and wellness support.
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/
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
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뉴스 & 버즈
Arize AI Partners With M12 for San Francisco AI Production Event - TipRanks
TipRanks
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3w ago
AI Without Security Is a Liability, Not an Advantage
https://i.redd.it/ojgwpna4jkrg1.gif In 2026, AI systems can't ignore security architecture. I've explained how you can implement in simple. 𝗦𝘁𝗲𝗽 1 – 𝗜𝗱𝗲𝗻𝘁𝗶𝘁𝘆 & 𝗔𝗰𝗰𝗲𝘀𝘀 (𝗔𝗰𝗰𝗲𝘀𝘀 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝗟𝗮𝘆𝗲𝗿) • This layer controls who can use AI systems and models. • It ensures only authorized users, apps, or agents get access. • Prevents unauthorized access to sensitive AI resources. 𝗘𝘅𝗮𝗺𝗽𝗹𝗲𝘀: Okta, Microsoft Entra ID, Auth0. Without this layer,
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Agentic + AI Observability Night at Terra Gallery (San Francisco) on March 26th, 2026
Join Databricks, Anthropic, Arize, Sentry, Factory, and LanceDB for the next Agentic + AI Observability Night at Terra Gallery in San Francisco on March 26th, 2026! We’re bringing together an incredible group of builders and researchers pushing the frontier of AI, Observability, LLMOps, and Agentic Systems 👉 RSVP: [https://luma.com/ajbkfwvg](https://luma.com/ajbkfwvg) Here’s a sneak peek at the lineup: ⚡ Self-healing Agents: How Droid Closes Its Own Feedback Loop with David G
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Arize AI Co-Hosts Technical Event on Production AI Agents With Microsoft’s Venture Fund - TipRanks
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