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AI Engineer - Rapid Prototyping

AI Engineer - Rapid Prototyping

Hashone CareersPune
30+ days ago
Job description

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 :

  • 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.

Requirements :

  • 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.
  • Understands 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.

    • Bonus Points :

  • Understanding of how AI tools work under the hood.
  • If you have experience with using different AI models integrated together

    • (ref : hirist.tech)

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