Scope of Responsibilities

• High-Fidelity Prototyping: Develop functional, data-driven prototypes that go far beyond Figma. You will build tools that prove a concept's technical viability using modern web frameworks.

• AI Implementation: Integrate LLMs, diffusion models, and vector databases into user-facing interfaces. You won't just call an API; you’ll optimize prompts and RAG flows to improve the overall UX.

• Bridge Design & Engineering: Serve as the "connective tissue." You will translate UX wireframes and complex design requirements into technical specifications that our engineering teams can scale.

• Technical Feasibility: Collaborate with designers early in the process to assess whether a proposed concept is technically achievable, bringing a "builder’s perspective" to design critiques.

• Documentation: Research and document emerging AI models, APIs, and developer tools to keep the team at the bleeding edge of what's possible.

Requirements

• Academic Background: Currently pursuing a masters degree in Computer Science, Software Engineering, HCI, or a related technical field. A minor or concentration in Design is a plus.

• Technical Proficiency: Strong foundation in React, TypeScript, and Node.js. You should be comfortable spinning up a full-stack environment from scratch without a starter kit.

• AI Fluency: Demonstrated experience working with AI APIs. You must understand how to manipulate model parameters and structure data for AI consumption.

• Prompt Engineering: Hands-on experience crafting, testing, and refining prompts to achieve specific, reproducible outputs—not just passive use of consumer AI tools.

• Design Fundamentals: Basic understanding of visual hierarchy, interaction design, and user-centric thinking. You understand why a feature should exist, even if your primary focus is how to code it.
  

Preferred Skills

• Python Proficiency: Experience with Python for scripting and data processing.

• Data Architecture: Familiarity with vector databases or the architectural concepts of RAG.

• Design Prototype: Experience in working with Figma MCP; adept at integrating AI tools to accelerate rapid prototyping and iterative design.

• Rapid Iteration: Participate in hackathons, coding competitions, or AI-focused build sprints.

Submission

• Portfolio (Must Have): A comprehensive portfolio showcasing your end-to-end process, technical execution, and project impact. We are looking for live web apps and technical experiments, not just static mockups or case studies.
  

Target Base Hourly Range: $30.00 USD - $36.00 USD

Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.

NOTE: Candidate can reside anywhere in the US.

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