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Vurvey Labs, Inc.

Software Engineer- Experiences

Posted 3 Hours Ago
Be an Early Applicant
In-Office
New York, NY, USA
Mid level
In-Office
New York, NY, USA
Mid level
Build custom AI-powered interactive experiences for major events and client web platforms. Design user flows and interfaces, develop Flutter apps for iOS, Android, and touchscreens, build React and TypeScript web components, integrate conversational AI with streaming and voice features, maintain GraphQL APIs, and rapidly prototype under live-event deadlines.
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ABOUT VURVEY LABS
Vurvey Labs is where frontier intelligence meets real human experience. Our core product, Freckle, allows organizations to move beyond what people say, building People Models that capture how they actually think, feel, and behave. By blending advanced AI simulations with real-world validation, we help major global brands and agency partners co-create deeply with their audiences.


Why Join Us:

  • Category-Defining Work: You aren't just maintaining legacy systems; you're actively ensuring that real human voices remain central to AI. Your work lands directly in the hands of global industry leaders.
  • A Unified, Autonomous Team: We believe in small, cross-functional teams where researchers, engineers, and strategists work in one seamless loop. You will always see the big picture and own your piece of the puzzle.
  • Driven by Connection: We prioritize genuine human connection in everything we do. We are intentional about how we collaborate, fostering a culture of transparency, trust, and deep respect for the people behind the work.


About the Role

At Vurvey Labs, we are redefining how people and brands collaborate through AI-powered insights and storytelling. As a Software Engineer on our Experiences team, you will help design and build custom AI agent applications that bring Vurvey to life at major global events—such as Cannes Lions, CES, and Advertising Week—and directly on our clients' web platforms.


Blending visual design, software engineering, and AI, you will partner alongside a senior engineer to take projects from initial concept to live interactive experiences across mobile apps, large touch-screen displays, and embeddable web widgets. In this role, you will champion an AI-first workflow to create engaging, memorable interfaces that make users stop, interact, and connect with intelligent agents in real time.

What you'll do:

  • Design End-to-End User Experiences: Translate brand guidelines into intuitive visual identities, user flows, and interactive interfaces without relying on pre-existing Figma designs. 
  • Build Cross-Platform AI Applications: Develop and deploy multi-platform applications using Flutter for iOS, Android, and touch-screen displays, alongside React and TypeScript for embeddable web components.
  • Animate Conversational Interfaces:  Create engaging AI-driven user experiences with streaming responses, voice input, and smooth animations using Flutter animations and Motion for React.
  • Prototype and Iterate Rapidly: Turn creative ideas into working prototypes quickly, adjusting designs based on feedback and navigating tight timelines around major live events.
  • Support Full-Stack Integrations: Extend and maintain Node.js and TypeScript GraphQL APIs to supply necessary endpoints and backend functionality for front-end experiences.
  • Leverage AI Development Assistants: Utilize modern AI-powered tools like Claude Code within daily workflows to accelerate delivery speed while maintaining high software quality.


What you'll bring:

  • 2–5 years of software engineering experience or a strong portfolio demonstrating custom-designed, 
  • High proficiency in TypeScript and React, alongside Flutter/Dart experience or an eagerness to master Flutter rapidly.
  • Exposure to LLM integrations, conversational UI design, or utilizing AI development tools to optimize engineering workflows
  • Experience with API design (GraphQL preferred), Git version control, and web or mobile deployment environments.


  • Deep experience with AI prompting, building AI agents, and evaluating LLM output quality for production use cases.
  • Familiarity with version control, deployment pipelines, and operational systems for managing AI workflows and testing frameworks.
  • Strong cross-functional communication skills with a bias for action and the ability to seamlessly translate analytical findings into design execution.

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