AI Engineer - Rapid Prototyping, Automation & Product Engineering

About Wednesday
Wednesday is a global engineering consultancy.

We partner with ambitious companies to build AI-native products, modernize data platforms, and accelerate software development.

We work at the early and most ambiguous stages of product development — where craft, clarity, and execution speed determine success.

Our teams include engineers, designers, and product managers who care deeply about the work they do.

We treat software like a craft, and our clients like long-term collaborators.
What You’ll Do
- Rapid Prototyping & Vibe Coding: Spin up clickable UIs and workflows using no-code/low-code “vibe coding” platforms (MCPs) to validate UX in hours.
- Automation & Workflow Orchestration: Design, deploy, and maintain end-to-end automation pipelines with tools like n8n, Gumloop, or Zapier, complete with error handling and monitoring.
- Lightweight Backend Integration: Build minimal backend services (serverless functions, FastAPI/Express) and integrate third-party APIs (CRM, CMS, analytics, auth) to support prototypes and production roll-outs.
- Product Engineering & Strategy: Independently evaluate product opportunities, define MVP feature sets, translate ambiguous concepts into clear requirements, and iterate based on user feedback and metrics.
- Cross-Functional Collaboration: Partner with designers, PMs, and senior engineers to align prototypes with business goals, document flows, and ensure smooth hand-off to delivery teams.
You’ll Thrive in This Role If You…
- Have 2–4 years’ hands-on experience with no-code/low-code MCPs and AI prototyping.
- Are proficient in building and monitoring automation workflows (n8n, Gumloop, Zapier).
- Can independently evaluate product ideas, define MVP scope, and drive prototype iterations under tight timelines.
- Have built lightweight backend services using Python, Node.js, or serverless functions.
- Understand API integration patterns and can glue together disparate systems quickly.
- Demonstrate a solid grasp of web fundamentals (HTML, CSS, JavaScript, HTTP protocols) to vet AI-generated code and ensure it follows best practices.
- Are comfortable demoing prototypes, gathering feedback, and iterating rapidly.
- Communicate clearly in writing (documentation) and verbally (client demos).
- Experience with version control and testing frameworks for low-code solutions.
- Basic prompt engineering or integration of AI-powered UI components (chat widgets, document viewers).
- Familiarity with frontend frameworks (React/Next.js) to extend prototypes into production.
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Bonus Points:
- Understanding of how AI tools work under the hood
- If you have experience with using different AI model integrated together