You’re the kind of person who sees a manual process and immediately starts thinking about how to eliminate it. At Kainjoo, you’ll build the automation layer that connects our clients’ tools, APIs, and data — and increasingly, you’ll weave AI into those workflows to do things that weren’t possible before.
You’ll design and build production automation workflows across a wide range of client use cases — from document processing and CRM syncing to AI-powered scoring and classification. You’ll work with a lot of different APIs, a lot of edge cases, and a lot of creative problem-solving.
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Design and build automation workflows using tools like n8n, Make, or similar platforms
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Integrate third-party APIs across CRM, accounting, communication, marketing, and productivity tools
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Build AI-powered workflows using LLM APIs for classification, summarisation, extraction, and scoring
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Implement both event-driven and scheduled (cron-based) automation patterns
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Connect automation outputs to databases, spreadsheets, and client systems
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Set up error handling, alerting, and observability for production workflows
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Test, debug, and monitor live automations in production
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Document workflows clearly for handover and client training
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Collaborate with developers to define API endpoints that workflows can consume
Personality
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You enjoy figuring out how to connect things that weren’t designed to connect
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You’re persistent — you dig into API docs, you test edge cases, you don’t give up easily
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You document your work well so others can maintain it
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You’re pragmatic: you use the right tool for the job, not the most impressive one
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You stay curious about what’s new in the AI and automation space
Experience
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2+ years of experience building production automations with tools like n8n, Make, or Zapier
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Strong understanding of REST APIs, webhooks, and OAuth flows
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Comfortable writing JavaScript or Python for custom logic and data transformation
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Experience with both event-driven and scheduled automation patterns
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Experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production workflows
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Ability to set up monitoring and error alerting for production workflows
Nice to Have
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n8n experience specifically (self-hosted a plus)
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Familiarity with Google Workspace APIs
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Background in data engineering or ETL processes
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Experience with vector databases or RAG architectures
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Knowledge of Notion or similar workspace APIs
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Bachelor’s degree in Computer Science, IT, or equivalent practical experience
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Fluent in English; French is a plus
Location
Morges, Switzerland
Engagement type
Remote
Department
KJ. Tech Engineering
