AI Prototyping Engineer

The AI Prototyping Engineer is responsible for turning emerging business ideas into working, deployable prototypes using AI-enabled development tools. This role bridges business users and the software development team by rapidly testing concepts, building functional solutions, and preparing successful prototypes for efficient transition into production.

• Turn early-stage business ideas and loosely defined concepts into working prototypes using AI-enabled development tools and rapid experimentation.
• Partner with business users, AI prototypers, and developers to clarify objectives, translate needs into functional solutions, and determine when a prototype has sufficiently proven a concept.
• Build and refine AI-enabled features, including prompt design, agent workflows, API integrations, and methods for evaluating the quality and reliability of AI-generated output.
• Package successful prototypes for effective handoff to the development team, using clear structure, version control, and documentation so production development can build on the work rather than restart it.
• Apply firm data, privacy, and security practices during prototyping so solutions can transition appropriately to live firm data and production environments.
• Use AI tools as a primary part of the prototyping and development process while independently reviewing, testing, and validating all generated output before it is relied upon.
• Evaluate prototypes critically, identifying limitations, edge cases, and risks and determining when additional refinement is valuable versus when the concept is ready for handoff or should be discontinued.
• Stay current with rapidly evolving AI development tools and techniques and apply new capabilities where they can improve speed, quality, or business value.

• Bachelor’s degree in computer science, software engineering, information systems, data science, or a related field, or equivalent demonstrated experience; recent graduates with strong project experience are encouraged to apply.
• Demonstrated ability to take an idea from concept to a working, usable prototype through coursework, internships, hackathons, side projects, or professional experience.
• Strong comfort using current AI development tools to create and refine working solutions, with the judgment to recognize when AI-generated output is incomplete, inaccurate, or unreliable.
• Working knowledge of version control, APIs, integrations, hosting, and deployment concepts needed to move a prototype toward a deployable solution.
• Foundational software development skills; experience with Type Script, React, Python, or similar technologies is preferred but not required at an advanced level.
• High degree of initiative and comfort working through ambiguity, changing requirements, unfamiliar tools, and problems without an established playbook.
• Strong judgment and practical problem-solving skills, including the ability to balance speed with quality and recognize when a prototype has achieved its intended purpose.
• Ability to communicate and collaborate effectively with both technical and non-technical stakeholders and translate between business needs and development requirements.
• Curiosity, adaptability, and a willingness to experiment, learn quickly, and move on from prototypes that do not demonstrate sufficient value.
• A portfolio or examples of working projects that demonstrate the ability to build and ship functional solutions is strongly preferred.

• Health insurance
• dental insurance
• vision insurance
• an employer funded profit-sharing plan with a 401(k) option (upon meeting eligibility requirements)
• group term life insurance
• disability insurance
• flexible spending accounts
• a flexible time off and paid leave program