Applied AI Product Engineer

Applied AI Product Engineer

Location:

New York City, NY

On-site role requiring five days per week in the Flatiron District, New York City.

Compensation: $185,000 – $260,000 Base + 0.03–0.1% Competitive Equity

Visa:
Open to H-1B and OPT visa transfers. Fresh H-1B sponsorship is not available.

Company Stage:
Early-Stage / Growth-Stage AI Company

Industry: Artificial Intelligence, AI Agents, Software Testing, Developer Tools, E-Commerce Technology, SaaS, Browser Automation, Quality Assurance

About the Company:

Our client is building an AI-native quality assurance platform that uses autonomous browser agents to test websites and applications like real users. The platform enables e-commerce and digital teams to replace brittle testing scripts and manual QA processes with intelligent AI agents that can explore applications, validate user flows, adapt to UI changes, and identify real bugs automatically. The company is experiencing significant inbound demand and is running multiple customer pilots each week with leading e-commerce and consumer brands.

The team is exceptionally small and highly technical, consisting of builders with backgrounds at leading AI and technology companies, former founders, and customer-facing engineering organizations. The company owns its technology stack end-to-end, including browser infrastructure, simulators and emulators, AI agent systems, backend infrastructure, and the customer-facing product experience. As an Applied AI Product Engineer, you'll join a small team where engineers are expected to operate as generalists, work across the entire technical stack, interact directly with customers, and ship product improvements extremely quickly.

This is a high-agency startup environment where engineers are expected to take ownership of problems from initial customer feedback through implementation and production deployment.

• Ship end-to-end features across the full software stack
• Build and improve AI-powered testing agents that interact with websites and applications like real users
• Work on agent infrastructure, browser orchestration, and the systems powering autonomous testing
• Build product experiences and customer-facing interfaces for AI-powered QA workflows
• Develop applications using Type Script, React, Next.js, and modern web technologies
• Work directly with customers to understand product feedback and identify opportunities for improvement
• Translate customer feedback into product improvements and ship changes rapidly
• Iterate on product experiences based on real-world customer usage
• Build AI agents capable of adapting to changes in application interfaces
• Work with LLMs and agentic systems to improve autonomous testing capabilities
• Develop systems that allow AI agents to explore, validate, and test complex user workflows
• Build infrastructure supporting browser automation and agent execution
• Work across frontend, backend, AI, infrastructure, and Dev Ops/SRE systems as needed
• Own technical problems end-to-end rather than working within narrowly defined responsibilities
• Debug complex issues across the application and infrastructure stack
• Design reliable systems capable of running AI-powered tests at scale
• Partner closely with product and engineering teammates to prioritize and execute high-impact work
• Gather customer feedback and close the loop through rapid product iteration
• Help shape product direction through direct interaction with users
• Build and ship production software with minimal hand-holding
• Make independent technical decisions in ambiguous environments
• Balance engineering quality with speed and customer impact
• Contribute across the entire product lifecycle from idea through production
• Help improve the underlying infrastructure that powers autonomous browser agents
• Work on systems spanning browser infrastructure, AI agents, application code, and product UI
• Operate with a high level of curiosity, ownership, and urgency
• Take responsibility for solving difficult technical problems rather than waiting for direction
• Help define engineering practices and product development patterns as the company scales

• 1–4 years of experience as a software…