AI summary: Builds and scales AI automation workflows using n8n, integrates AI platforms with business systems, and develops custom AI solutions to support key business processes.
Launched in 1998, this pioneering British-born brand has specialized in creating amazing experiences and unforgettable memories - from hotels, city breaks, and holidays to theatre, entertainment, and spa days. Experts in brightening up online travel, lastminute.com is among the worldwide leaders in the field, helping hundreds of thousands of customers every year find, and do, “whatever makes them pink”.
lastminute.com is part of lm group, publicly-traded multinational Group, among the worldwide leaders in the online travel industry. Every month, the Group reaches across all its websites and mobile apps (in 17 languages and 40 countries) 60 million unique users that search for and book their travel and leisure experiences. More than 1,200 people enjoy working with us and contribute to provide our audience with a comprehensive and inspiring offering of travel related products and services.
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 -Â AI Automation Engineer
Working model -Â hybrid from Switzerland
Team -Â you will join the Automation Engineering team within the Automation department.
Level - Professional
Location -Â Chiasso, Switzerland (only for hybrid positions)
Contract -Â Permanent - full-time (EUR 36 h/week)
What your impact will be:
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.
Develop applications and tools that use AI to support key business processes. These solutions will be tailored to specific needs across different departments.
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.
Support and extend our Company Context / Universal RAG Knowledge Base, including document ingestion pipelines, retrieval quality, and access governance.
Create tools for analyzing conversations, automating emails, and generating insights from customer interactions.
Use generative AI to automate tasks like content creation and communication personalization.
Update code, monitor system performance, and retrain models regularly to ensure everything runs smoothly.
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:
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).
You move quickly from idea to working prototype, and improve as you go. You aim for results, not perfection.
You take ownership from idea to deployment—writing documentation only when needed, and focusing on what works.
You can quickly find the cause of technical issues using logs, dev tools, or pattern matching.
You understand authentication, authorization scopes, and safe handling of credentials.
You present your ideas clearly, show live demos with confidence, and help business teams understand the value of your work.
Your Skills and Tools
Hands-on experience with n8n (or similar low-code platforms such as Make, Zapier), including self-hosted/enterprise deployments.
Proficiency in Python and/or JavaScript.
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.
Experience with retrieval-augmented generation, vector databases, and document ingestion pipelines.
Strong understanding of APIs, cloud-based infrastructure, and microservices architecture.
Familiar with Git, CI/CD pipelines, and the full software development lifecycle.
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.