
Front End Engineer, Internal AI Ops
- Lehi, UT
- $97,000-154,500 per year
- Permanent
- Full-time
- Design, architect, and implement modern, responsive front-end applications that deliver AI-powered automation solutions.
- Build reusable, scalable UI components and front-end frameworks that enhance user experience and developer productivity.
- Develop and optimize AI-driven interfaces, including crafting prompts, dashboards, and visualizations that make decision-making faster and more intuitive.
- Collaborate with product, design, and backend engineers to define requirements and ensure seamless end-to-end user experiences.
- Write clean, maintainable, and well-tested code in modern front-end frameworks (e.g., React, Angular, Vue).
- Continuously research and experiment with emerging AI tools, frameworks, and UI technologies to deliver innovative front-end solutions.
- Monitor, test, and optimize UI performance to ensure reliability, scalability, and accessibility across devices.
- 3+ years of professional front-end software development experience.
- Proficiency in modern JavaScript/TypeScript and at least one front-end framework (React, Angular, Vue, or similar).
- Demonstrable experience leveraging AI-powered development tools (e.g., Cursor AI, GitHub Copilot, Tabnine) for enhanced code generation, refactoring, debugging, and overall development efficiency.
- Experience working with APIs and integrating back-end services into front-end applications.
- Familiarity with Generative AI tools and ability to design UI components that incorporate LLM-driven workflows.
- Strong understanding of responsive design, accessibility standards, and cross-browser compatibility.
- Excellent analytical, problem-solving, and communication skills.
- Knowledge of front-end engineering best practices, including testing, code reviews, and CI/CD pipelines.
- Experience with state management libraries (Redux, Zustand, MobX) or front-end performance optimization.
- Background in data visualization and building dashboards to surface AI insights.
- Familiarity with AI/ML APIs (OpenAI, Anthropic, Azure AI) and prompt engineering best practices for user-facing applications.
- Experience with cloud services (AWS, Azure, or GCP) and front-end deployment pipelines.
- Previous work on building internal tools or AI-driven user experiences.