Senior AI Product Engineer (Fullstack)

TL;DR

Senior AI Product Engineer (Fullstack): Building and optimizing high-performance features across the stack for an AI platform focused on observability, evaluation, and performance optimization for modern machine learning and LLM systems, with an accent on API design, domain models, and advanced visualization techniques. Focus on solving complex technical challenges, delivering exceptional user experiences, and driving architectural decisions for AI-driven products.

Location: U.S. (Remote/Hybrid — varies by candidate)

Salary: $125,000–$225,000 base

Company

Our client is a fast-growing AI platform company focused on observability, evaluation, and performance optimization for modern machine learning and LLM systems, enabling engineering teams to build reliable, production-grade AI applications with confidence.

What you will do

• Build scalable, maintainable, and high-performance features across the stack, primarily using TypeScript and React, with opportunities to work in Python and Go.
• Design APIs, domain models, and system architectures tailored to customer ML and LLM workflows.
• Develop performant, reusable UI components and implement advanced visualization and dimensionality-reduction techniques.
• Partner cross-functionally with product, design, and customer engineering teams to expand platform capabilities.
• Contribute to development of internal AI agents and intelligent tooling, and help drive architectural decisions.
• Participate in code reviews, design discussions, and technical documentation.

Requirements

• 5+ years of experience building production frontend applications, ideally with React + TypeScript.
• Track record of debugging complex systems in collaborative engineering environments.
• Experience working on high-scale, high-volume SaaS platforms.
• Strong product ownership mindset and ability to ship features end-to-end.
• Passion for crafting intuitive, high-quality user experiences.
• Genuine interest in AI, LLMs, and emerging technologies.
• Strong communication and teamwork skills.

Nice to have

• GraphQL or comparable API technologies.
• Experience with data, analytics, ML, or visualization platforms.
• Working knowledge of machine learning or data science concepts.
• Hands-on experience building with or integrating large language models.

Culture & Benefits

• Total compensation includes equity.
• Comprehensive benefits package featuring medical, dental, and vision coverage.
• 401(k).
• Unlimited PTO and generous parental leave.
• Mental health and wellness support.