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.

What You'll Do

• 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 TypeScript, 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 DevOps/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

Ideal Candidate Background

Experience Requirements

• 1–4 years of experience as a software engineer preferred
• Strong full-stack engineering experience
• Experience building production applications using TypeScript and React
• Experience working with modern web application frameworks
• Experience shipping software end-to-end
• Experience working across frontend and backend systems
• Experience building customer-facing products preferred
• Experience working directly with customers or users preferred
• Experience operating in fast-moving startup environments preferred
• Experience working in ambiguous, loosely defined problem spaces
• Demonstrated ability to independently solve technical problems
• Strong ownership mentality with a track record of shipping
• Ability to move quickly from idea to implementation
• Experience working on AI-powered products or systems preferred
• Experience with LLMs or AI agents preferred
• Experience at reputable startups, high-growth technology companies, or similarly demanding environments preferred
• Strong builder mentality and willingness to work across the stack

Technical Requirements

• Strong software engineering fundamentals
• Strong TypeScript development experience
• Strong React experience
• Experience with Next.js or similar modern web frameworks
• Ability to build and ship full-stack applications
• Strong frontend engineering capabilities
• Strong backend engineering capabilities
• Experience working with APIs and application architecture
• Experience building production-quality web applications
• Experience working with LLMs or AI-powered systems preferred
• Familiarity with AI agents and agentic workflows preferred
• Understanding of browser automation or browser infrastructure preferred
• Experience debugging complex technical systems
• Ability to work across application and infrastructure layers
• Comfortable learning unfamiliar technologies quickly
• Ability to build and iterate rapidly
• Strong understanding of software architecture and engineering best practices
• Comfortable working with DevOps, infrastructure, or SRE systems when required
• Ability to reason about reliability and production performance
• Strong technical problem-solving ability
• Ability to translate ambiguous requirements into working software
• Strong understanding of data flows, APIs, and application state
• Comfortable deploying and operating production applications
• Ability to make pragmatic technical trade-offs in fast-moving environments

Education

• Bachelor's degree preferred
• Computer Science, Engineering, Mathematics, or equivalent technical disciplines preferred
• Strong technical or quantitative academic background preferred
• Exceptional practical engineering experience can compensate for academic pedigree

Soft Skills

• Extremely high agency and ownership
• Strong bias toward action
• Highly curious and intellectually engaged
• Comfortable operating independently
• Strong builder mentality
• Comfortable working across the entire technical stack
• Strong customer empathy
• Comfortable speaking directly with users
• Strong product intuition
• Excellent problem-solving ability
• Comfortable working through ambiguity
• Fast learner
• Strong technical judgment
• High intensity and urgency
• Comfortable taking responsibility for outcomes
• Strong communication skills
• Comfortable receiving and acting on customer feedback
• Willing to iterate quickly based on real-world usage
• Low-ego and highly collaborative
• Comfortable working in a small, elite engineering team
• Excited by difficult technical problems
• Excited by AI and emerging technologies
• Comfortable with rapid product iteration
• Willing to work across engineering, product, infrastructure, and customer-facing responsibilities
• Excited by building products rather than narrowly defined engineering tasks
• Comfortable operating with minimal hand-holding
• Comfortable working onsite five days per week in New York City

Compensation & Benefits

• Base Salary: $185,000 – $260,000
• Competitive equity package of approximately 0.03–0.1%
• Opportunity to build autonomous AI agents from the ground up
• Work directly on cutting-edge AI-powered QA technology
• Opportunity to work across the entire technical stack
• Direct exposure to customer feedback and product development
• Opportunity to build browser infrastructure and AI agent systems
• High degree of engineering ownership and autonomy
• Opportunity to work alongside highly technical founders and engineers
• Fast-paced startup environment with significant technical growth
• Opportunity to influence product direction directly
• Work on products used by leading e-commerce and consumer brands
• H-1B and OPT transfers available
• Five-day in-office environment in New York City

Why Join

This is an opportunity to join a small, elite AI company building autonomous browser agents that are fundamentally changing how software quality assurance works.

As an Applied AI Product Engineer, you'll work across the entire technology stack — from browser infrastructure and AI agents to backend systems and customer-facing product experiences.

You'll work directly with customers, receive feedback in real time, and have the opportunity to turn that feedback into shipped product improvements within hours rather than weeks.

The role offers unusually broad engineering ownership for an early-career engineer. You'll work with LLMs and agentic systems while simultaneously building production software, infrastructure, and product experiences.

You'll operate in a highly autonomous environment alongside engineers and builders from leading technology companies, where speed, curiosity, craftsmanship, and customer obsession are deeply valued.

If you enjoy full-stack engineering, AI agents, building from scratch, working directly with customers, solving difficult technical problems, and shipping extremely quickly, this role offers exceptional scope and growth.