localsearch Industry · Engineering Part-time

AI Product Engineer (80–100%)

CHF 130'000 – 150'000 / year
ZÜRICH
AI-TITLELLMRAGPROMPT ENGINEERINGVECTOR DATABASE

Description

localsearch is the leading marketing and advertising partner for Swiss SMEs. We make customers successful in the digital world. Our Marketing, Audience & Communication division is looking for a new team member for our two platforms local.ch and search.ch.

Are you ready to revolutionize the way Swiss SMEs are found digitally? You are a builder, not a consultant. While others are still discussing, you already have the first prototype live. With AI tools, you build in days what used to take weeks — and deliver results that inspire the team.

Responsibilities

  • Collaboration with Product, Business and Innovation to identify the core problems behind each idea
  • Rapid Prototyping of functional products with AI-assisted development (Claude Code, Cursor, GitHub Copilot, v0 or similar)
  • Integration of LLM-APIs and third-party services into functioning end-to-end flows — not just UI mockups
  • Developing frontend interfaces (React/Next.js) that are good enough for user tests — not just for a demo
  • Connecting prototypes to real backends — REST/GraphQL-APIs, Cloud Functions, databases — so that stakeholders see realistic behavior
  • Driving fast feedback loops: iterating or discarding ideas within days
  • Creating engineering handoff packages: annotated code, architecture decisions, edge cases, and a clear "This is the intention" briefing
  • Translating in both directions: business stakeholders understand technical tradeoffs, engineering understands the business context

Qualifications

  • AI-native: You use AI development tools daily — not occasionally. Claude Code, Cursor, Copilot or similar tools are your standard workflow
  • Code competence: You write working code in JavaScript/TypeScript. You are familiar with React and Next.js
  • LLM experience: Practical experience with LLM-APIs (OpenAI, Anthropic or similar) — Prompt Engineering, Chaining, Tool Use
  • Shipping mentality: Idea to working prototype in under a week. You build while others are still talking.
  • Cloud experience: Deployment on GCP, AWS or Vercel. REST/GraphQL integration is routine
  • Communication: You write technical briefings that a Senior Engineer respects and explain to business stakeholders why something (doesn't) work

Nice to have:

  • Experience with Rapid-Scaffolding-Tools (v0, Bolt, Lovable) in addition to classic React/Next.js development
  • Knowledge of RAG architectures, Vector Databases or AI Agent Patterns
  • Background in Product Management, UX or Design Thinking
  • Experience in startup and enterprise environments

You are not:

  • A Senior Software Engineer who owns and maintains production systems
  • A Business Analyst who writes requirements documents instead of code
  • Someone who considers documentation optional
  • Someone who needs full requirements before writing a line of code