Automation Engineer
Kainjoo SA · Remote · Geneva
Job description
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.
What you’ll be doing
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.
- Design and build automation workflows using tools like n8n, Make, or similar platforms
- Integrate third-party APIs across CRM, accounting, communication, marketing, and productivity tools
- Build AI-powered workflows using LLM APIs for classification, summarisation, extraction, and scoring
- Implement both event-driven and scheduled (cron-based) automation patterns
- Connect automation outputs to databases, spreadsheets, and client systems
- Set up error handling, alerting, and observability for production workflows
- Test, debug, and monitor live automations in production
- Document workflows clearly for handover and client training
- Collaborate with developers to define API endpoints that workflows can consume
Who we’re looking for
Personality
- You enjoy figuring out how to connect things that weren’t designed to connect
- You’re persistent — you dig into API docs, you test edge cases, you don’t give up easily
- You document your work well so others can maintain it
- You’re pragmatic: you use the right tool for the job, not the most impressive one
- You stay curious about what’s new in the AI and automation space
Experience* 2+ years of experience building production automations with tools like n8n, Make, or Zapier
- Strong understanding of REST APIs, webhooks, and OAuth flows
- Comfortable writing JavaScript or Python for custom logic and data transformation
- Experience with both event-driven and scheduled automation patterns
- Experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production workflows
- Ability to set up monitoring and error alerting for production workflows
Nice to Have* n8n experience specifically (self-hosted a plus)
- Familiarity with Google Workspace APIs
- Background in data engineering or ETL processes
- Experience with vector databases or RAG architectures
- Knowledge of Notion or similar workspace APIs
Education
- Bachelor’s degree in Computer Science, IT, or equivalent practical experience
- Fluent in English; French is a plus
Location Morges, Switzerland Engagement type Remote Department KJ. Tech Engineering
ML/AI Work links you to the employer's original posting — always verify the details there before applying.
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