Applied AI Product Engineer

Recruiting From Scratch•New York, NY

3d•Onsite

About The Position

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.

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
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
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
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

Nice To Haves

Experience building customer-facing products
Experience working directly with customers or users
Experience operating in fast-moving startup environments
Experience working on AI-powered products or systems
Experience with LLMs or AI agents
Experience at reputable startups, high-growth technology companies, or similarly demanding environments
Experience with LLMs or AI-powered systems
Familiarity with AI agents and agentic workflows
Understanding of browser automation or browser infrastructure
Comfortable working with DevOps, infrastructure, or SRE systems when required
Computer Science, Engineering, Mathematics, or equivalent technical disciplines
Strong technical or quantitative academic background

Responsibilities

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