Arize AIAA

Senior AI Product Engineer - Fullstack

Arize AI is an AI observability and LLM evaluation platform designed to help AI engineers and developers surface model issues, resolve their root cause, and improve model performance.

Arize AI

Employee count: 51-200

Salary: 125k-225k USD

United States only

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 Team

Our Fullstack Engineering team builds both the highly scalable distributed services that power Arize's ML observability platform and the intuitive frontend applications that bring these capabilities to life. The team primarily works in TypeScript and Python to create seamless data visualization and monitoring experiences, with some services written in Go. We focus on delivering robust features that help clients interpret, visualize, and monitor their AI and ML models across the entire stack.

You will be a part of the core team that drives product innovation at Arize. You will be challenged with understanding how some of the most impactful engineering teams are developing AI and LLM-powered applications, and how to build the right tools to enable them to do their best work. Our product solutions range from clean APIs that magically instrument applications, interactive playgrounds for prompt engineering and agent development, or scaling up real-time evaluation infrastructure to handle millions of annotations per second

What You’ll Do

  • Write maintainable, scalable, and performant code across the stack primarily in Typescript and React with opportunities to work in Python and Go.
  • Design and build APIs, and domain / object models specific to our customers’ Machine Learning and LLM workflows.
  • Design and build out performant and reusable react components that will be used throughout the application.
  • Research and implement cutting-edge visualization dimensionality reduction algorithms in a distributed environment.
  • Collaborate with our product, design, and directly with customer engineering teams to enhance and expand our product offerings.
  • Contribute to the build our own in-house AI Agents
  • Participate in or lead architectural decisions for new and existing features in collaboration with product, design and our backend teams.
  • Contribute to design code reviews and technical documentation.

What We’re Looking For

  • 5+ years of frontend experience working on external user-facing UI’s - preferably in React and Typescript
  • Previous experience debugging complex systems in a team environment.
  • Enthusiasm and interest in the AI and LLM ecosystem, with a desire to learn and stay updated on emerging technologies.
  • Previous work building and operating highly complex, high-volume SaaS platforms/systems.
  • Strong sense of product ownership in order to push features over the line.
  • Passion for creating beautiful UX design with the end user in mind.
  • A good teammate, someone who sees supporting their team as a core part of the job

Bonus Points, But Not Required

  • Experience working with GraphQl or a comparable API technology.
  • Experience working with ML, analytics, data science or data visualization products.
  • Working knowledge of Machine Learning and/or Data Science.
  • First-hand experience working with large language models (LLMs) or developing AI products.

The estimated annual salary for this role is between $125,000 - $225,000, plus a competitive equity package. Actual compensation is determined based on a variety of job-related factors that may include transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefits package, including medical, dental, vision, a 401(k) plan, unlimited paid time off, a generous parental leave plan, and additional support for mental health and wellness.

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 the people. Our founders came together through a common frustration: investments in AI are growing rapidly across businesses and organizations of all types, yet it is incredibly difficult to understand why a machine learning model behaves the way it does after it is deployed into the real world.

Learn more about Arize in an interview with our founders: https://www.forbes.com/sites/frederickdaso/2020/09/01/arize-ai-helps-us-understand-how-ai-works/#322488d7753c

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

About the job

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Posted on

Job type

Full Time

Experience level

Senior

Salary

Salary: 125k-225k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Arize AI

Learn more about Arize AI and their company culture.

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Arize AI is dedicated to helping customers navigate the complexities of artificial intelligence and machine learning model performance. Many organizations invest heavily in developing AI models, only to find that their real-world performance is difficult to track, understand, and improve. Our customers face challenges such as model drift, where a model's predictive accuracy degrades over time due to changes in data; data quality issues that can silently corrupt model inputs and outputs; and the 'black box' nature of many AI systems, making it hard to diagnose why a model is making certain predictions or behaving unexpectedly. These challenges can lead to poor business outcomes, loss of customer trust, and inefficient use of resources.

To address these critical pain points, Arize AI provides a comprehensive AI observability and LLM evaluation platform. We empower AI engineers, data scientists, and ML practitioners to surface model issues quickly, trace them to their root cause, and ultimately, improve model performance and reliability. Our platform offers real-time monitoring, automated drift detection, explainability tools, and robust analytics to provide a clear view into how models are behaving in production. By offering a centralized inference store and connecting offline training and validation data with online production data, we enable teams to proactively identify and resolve issues before they significantly impact business operations. Whether our customers are working with traditional machine learning models, large language models (LLMs), or complex AI agents, Arize AI offers the tools and insights needed to ensure their AI initiatives are successful, transparent, and deliver tangible value. We are committed to fostering a future where AI works effectively and responsibly for everyone.

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Arize AI hiring Senior AI Product Engineer - Fullstack • Remote (Work from Home) | Himalayas