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Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Aug 27, 2026. Arize AI scores A on the Alion truth index.

Overview
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Arize AI is a software company that provides an observability and evaluation platform for machine learning models and generative AI applications. Its tools monitor model performance and data drift, trace and evaluate LLM and agent behaviour, and help teams troubleshoot problems in production, and it maintains the open-source Phoenix project. The company is headquartered in San Francisco, California, United States.

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.

Note: Arize is a remote-first company but certain roles often appear at in-person events. The nature of this role requires candidates to be based in the San Francisco Bay metro area, though there isn't an in-office requirement.

The Opportunity

AI is rapidly transforming the world. Whether it's developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives. Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production.

The Role

We are looking for an AI Applied Engineer focused on developer growth. This team fits in developer advocacy in the product team, outside of core engineering, connecting product to the AI Engineer ecosystem. This role is ideal for people with an entrepreneurial mindset and passion to grow our developer community through code, education, content, and hack-a-thons. You will be joining a team of engineers, product and marketing with experience building the next generation of AI systems from agents to assistants to LLM applications.  

What You'll Do

  • Write code and build examples that our community can reference - agents & assistants in different frameworks
  • Create awareness through technical content that educates AI developers - e.g. Github repos, blogs, eBooks, product documentation, workshops, demos
  • Build out Claude code and Cursor skills for automating systems
  • Improve the growth marketing experience 
  • Be the “voice of the AI engineer” across Arize’s base of users and the AI developer community at large
  • Serve as a product advocate for Arize's core SaaS or OSS offerings. Distill market insights and developer feedback to inform roadmap and GTM activities
  • Craft best practices and novel perspectives on troubleshooting and improving production ML models and LLM-powered applications
  • Plan and speak at Arize-hosted and industry events and conferences

Who We're Looking for

  • Working knowledge of generative AI
  • Technical experience with the LLM app development stack (e.g. agents, orchestration frameworks, vector databases, evaluation libraries) with proficiency in Python
  • Engaged in technical communities via GitHub, Medium, DZone, Stack Overflow, Reddit, LinkedIn, etc.
  • A data-driven creative who thrives in ideating and delivering on novel activities that earn the attention and trust of AI/ML practitioners
  • A self-learner who isn’t daunted by technical complexity and welcomes the challenge to develop their own POV
  • Excellent written and verbal communication
  • Willingness to attend evening meetups and events in the SF Bay Area

The estimated annual salary for this role is between $100,000 - $175,000, plus a competitive equity package. 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 a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.

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
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