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Senior AI Product Engineer, Fullstack
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Arize AI·Remote (United States)·10 дек.

Senior AI Product Engineer, Fullstack

≈ от 270 000 ₽наша оценка по вакансиям этой роли и грейда, у работодателя вилка не указана
🌍 УдалённоSeniorПолная занятость🌐 Глобал
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Наша компания

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. 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

Чем предстоит заниматься

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
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

Наши требования

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
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 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
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
A
Arize AI
Remote (United States)

ГрейдSenior
ЗанятостьПолная занятость
РегионСША
ФорматУдалённо
ИсточникСкрыто
Опубликовано10 дек.
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