Frontend Engineer, AI Prototyping

1-800 Contacts•Draper, UT

17h•Onsite

About The Position

SeekWell is the parent company of 1-800 Contacts, Luna, and The Framery, focused on making vision care simpler, easier, and more accessible. We foster an award-winning culture and develop innovative products. Owned by KKR, our customer-first approach has driven industry change. We are building toward a future of seamless, informed, and personal vision care interactions, with AI being central to this vision. The CX Incubator rapidly builds and tests new mobile app concepts before larger investments. This role is for a hands-on Frontend Engineer specializing in AI prototyping, combining software engineering, AI application experience, and strong product/design instincts to transform ambitious customer experience ideas into functional, testable prototypes. You will collaborate with a marketer and designer to move concepts from ideation to realistic simulations and prototypes, building customer-facing experiences that integrate existing AI technologies like conversational AI, content decisioning, recommendations, personalization, generative experiences, and voice interactions. Utilizing AI-native development tools and workflows, you will accelerate the process from idea to working simulations and prototypes. This role emphasizes understanding, evaluating, and applying AI to solve customer problems and independently developing Proofs of Concept (POCs) to validate customer experience and technology, rather than building final production solutions. It's ideal for a builder comfortable with ambiguity, quick creation, and experimental learning.

Requirements

Strong software engineering skills with experience building web or native mobile applications using React, Angular, or similar frameworks.
Hands-on experience integrating and applying existing AI technologies, models, or services within applications, prototypes, or customer experiences.
Experience working with applied AI technologies such as LLMs, conversational AI, recommendation or decisioning systems, personalization, retrieval/grounding, agents, or generative AI.
Demonstrated ability to independently take an ambiguous AI-powered concept, determine how to build it, and deliver a functional POC or prototype.
Experience integrating APIs, cloud services, data sources, and external systems.
Familiarity with AI-native development tools such as Cursor, Claude, Copilot, or similar technologies.
Strong product and design instincts and an appreciation for great customer experiences.
Comfort with ambiguity and rapid iteration.
Experience incorporating user or customer feedback into prototypes and iterating based on what you learn.
Portfolio, prototypes, side projects, or examples that demonstrate curiosity and self-directed building.

Nice To Haves

Experience with iOS development is a plus.

Responsibilities

Turn ideas, customer problems, and hypotheses into functional, testable prototypes, starting with our mobile app.
Build AI-powered experiences using LLMs, existing AI models and services, APIs, customer and product data, and modern web and mobile app technologies.
Research, evaluate, and prototype with AI models, services, and capabilities to determine the right approach for customer use cases such as content and intelligent decisioning, recommendations, personalization, generative content, conversational AI, and voice experiences.
Independently determine the technical approach needed to take loosely defined AI-powered concepts from idea to a functional, testable POC.
Create realistic customer simulations that can be tested with internal and external audiences.
Explore how to ground, guide, and evaluate AI experiences using customer profile data, customer context, and human-defined guardrails.
Connect prototypes to content libraries, AI SDKs, and staging systems.
Contribute reusable components and integrations to our prototyping platform.
Use AI-native development workflows with tools like Cursor, Claude, Copilot, and similar technologies.
Help define practical guardrails for safe, reliable, and brand-appropriate customer-facing AI experiences.
Use feedback from customer and user testing to rapidly iterate on prototypes and explore different approaches.