
AI Data Integration Engineer
- Austin, TX
- Permanent
- Full-time
- 10+ years in UX/UI development, with 3+ in data, enterprise, or AI product environments.
- Eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment.
- Ability to lead development of AI experiences from start to finish.
- Expert in JavaScript frameworks (React, Angular, or Vue) and CSS libraries (such as Tailwind, Bootstrap) for responsive, scalable designs.
- Experience developing applications with React or Vue, leveraging state management (Redux, Zustand) for seamless user experiences.
- Comfort with ambiguity. Ability to architect a full orchestrator and business context layer for sales.
- Strong portfolio demonstrating LLM/AI interactions, system design, and experimentation.
- Deep understanding of Sketch or Figma, design systems, and design token management.
- Familiarity with telemetry and user feedback loops for continuous improvement.
- Experience working with data science teams.
- Knowledge of project management and productivity tools such as Wrike.
- Strong time management skills with the ability to collaborate across multiple teams.
- Able to balance competing priorities, long-term projects, and ad hoc requirements.
- Ability to work in a fast-paced, dynamic, constantly evolving business environment.
- B.S Degree in Computer Science or similar engineering field.
- Experience articulating and translating business questions into AI solutions.
- Experience designing interfaces for GenAI tools, AI agents, or NLP systems.
- Understanding of prompt design, fallback UX, and agent transparency models.
- Familiarity with enterprise UX constraints and scalable frameworks (e.g., Material, Fluent).
- Prior experience in sales tools or internal platform design.
- Portfolio demonstrating your design thinking, hands-on expertise, and problem solving skills.
- A deep understanding of the Apple design aesthetic & principles.
- Experience creating VisionOS & iOS apps is a plus.
- Advanced Degree in Computer Science or similar engineering field.