Note: The job is a remote job and is open to candidates in USA. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. The Senior AI Product Engineer, Fullstack will write maintainable code, design APIs, and collaborate with teams to enhance product offerings in the rapidly evolving AI landscape.

Responsibilities

• 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

Skills

• 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

Benefits

• A competitive equity package
• 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
• For all other employees, there is a WFH monthly stipend to pay for co-working spaces

Company Overview

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