Senior AI Product Engineer (Fullstack)

TL;DR

Senior AI Product Engineer (Fullstack): Building the next generation of AI observability and evaluation tools for production-scale machine learning and generative AI systems with an accent on scalable services, APIs, and intuitive user experiences. Focus on designing distributed systems, optimizing LLM observability workflows, and implementing advanced data visualization for AI evaluation.

Location: Must be based in United States

Salary: $125,000 – $225,000

Company

A technical product company specializing in AI observability and evaluation tools for enterprises deploying LLMs at scale.

What you will do

• Design and maintain scalable fullstack features using TypeScript, React, and Python.
• Develop and optimize APIs and data models specifically for machine learning and LLM observability use cases.
• Build high-performance frontend components and data visualization interfaces to improve system interpretability.
• Collaborate on architectural decisions across the frontend, backend, and data layers.
• Contribute to the development of AI-driven features, including in-house agents and experimental ML tooling.
• Research and implement scalable approaches for handling large-scale AI evaluation data.

Requirements

• 5+ years of frontend or fullstack engineering experience.
• Strong expertise in React and TypeScript for building user-facing applications.
• Proven experience designing and operating scalable SaaS systems or complex distributed applications.
• Strong understanding of system design and backend integration, with proficiency in Python.
• Must be based in the United States.
• Genuine interest in AI, LLMs, and modern machine learning systems.

Nice to have

• Experience with Go (Golang).

Culture & Benefits

• Competitive compensation package including base salary and equity opportunities.
• Comprehensive health, dental, and vision insurance coverage.
• Unlimited paid time off and generous parental leave policies.
• 401(k) retirement savings plan.
• Monthly work-from-home stipend for co-working spaces and home office needs.
• Flexible remote-first culture with optional in-person collaboration.