AI Automation Engineer

Job Description

JOB DESCRIPTION 

We are looking for an AI Automation Engineer to help us power up the traveller's journey for millions of holidaymakers. If you are passionate about designing & building AI solutions, keep on reading, as you might be the perfect fit for this job. 

The job in brief: 

Job Title -  AI Automation Engineer

Working model -  hybrid from Switzerland

Team -  you will join the Automation Engineering team within the Automation department.

Level - Professional 

Location -  Chiasso, Switzerland (only for hybrid positions)

Contract -  Permanent - full-time (EUR 36 h/week) 

What your impact will be:

• Build and scale n8n automation workflows.

Design, build, and maintain production-grade workflows on our self-hosted n8n Enterprise platform (AWS EKS), supporting business units across the company and helping grow our Citizen Developer / self-service automation program.

• Design and build custom AI solutions.
  Develop applications and tools that use AI to support key business processes. These solutions will be tailored to specific needs across different departments.

• Connect AI tools with our systems.
  Integrate external AI platforms (such as OpenAI, Google Gemini or Anthropic Claude) with our existing tools using APIs, low-code platforms like n8n, and custom connectors.

• Contribute to our governed knowledge layer.

Support and extend our Company Context / Universal RAG Knowledge Base, including document ingestion pipelines, retrieval quality, and access governance.

• Work with natural language processing (NLP).
  Create tools for analyzing conversations, automating emails, and generating insights from customer interactions.

• Build generative AI solutions.
  Use generative AI to automate tasks like content creation and communication personalization.

• Maintain and improve systems.
  Update code, monitor system performance, and retrain models regularly to ensure everything runs smoothly.

• Collaborate with tech teams.
  Work closely with data engineers, DevOps, and other developers to make sure AI tools are scalable and reliable.

What You Might Build:

• n8n workflows automating cross-department processes

• NLP-based systems that analyze calls and emails

• RAG-powered assistants and chatbots grounded in our Company Context knowledge base

• Virtual assistants and chatbots to support internal teams

• Recommendation engines that guide real-time sales or support actions

• Automated tools to generate personalized content

• Dashboards and reporting tools that surface AI-generated insights

Your expertise:

• 3+ years of hands-on AI development:
  You’ve built and shipped AI solutions that led to real business impact—whether that’s increased revenue, reduced cost, or improved customer satisfaction (NPS).

• Fast, practical builder:
  You move quickly from idea to working prototype, and improve as you go. You aim for results, not perfection.

• End-to-end problem solver:
  You take ownership from idea to deployment—writing documentation only when needed, and focusing on what works.

• Strong technical troubleshooting:
  You can quickly find the cause of technical issues using logs, dev tools, or pattern matching.

• Security-aware mindset:
  You understand authentication, authorization scopes, and safe handling of credentials.

• Communicator and storyteller:
  You present your ideas clearly, show live demos with confidence, and help business teams understand the value of your work.

Your Skills and Tools

• Automation Platforms:

Hands-on experience with n8n (or similar low-code platforms such as Make, Zapier), including self-hosted/enterprise deployments.

• Languages:
  Proficiency in Python and/or JavaScript.

• AI/ML Development:
  Experience with LLMs (e.g. Claude, Gemini, OpenAI), prompt engineering, and building agentic workflows; familiarity with ML frameworks such as TensorFlow or PyTorch is a plus.

• RAG & Knowledge Systems:

Experience with retrieval-augmented generation, vector databases, and document ingestion pipelines.

• Data & APIs:
  Strong understanding of APIs, cloud-based infrastructure, and microservices architecture.

• Software Practices:
  Familiar with Git, CI/CD pipelines, and the full software development lifecycle.

• Cloud & Deployment:
  Comfortable working with cloud platforms (AWS, Azure, GCP), container tools (Docker, Kubernetes), and serverless architectures.

Selection process steps*:

- HR interview (10-30 minutes)

- 1st interview (Manager): soft skills + technical knowledge

- Business/Technical Case

- Offer extended
(*Please note the process can slightly vary. The recruiter in charge will share more details when setting up the interview)

Our commitment to celebrate diversity and generate belonging

At the heart of our culture is a commitment to inclusion across race, gender, age, sexual orientation, religion, gender identity or expression, and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel.

Eligibility criteria:
By submitting your information and application, you confirm that you are legally authorised to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.

Qualifications

Additional Information