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AI Implementation Engineer

Job in 6830, Chiasso, Ticino, Switzerland
Listing for: lastminute.com
Full Time position
Listed on 2026-01-10
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 36 EUR Hourly EUR 36.00 HOUR
Job Description & How to Apply Below
Location: Chiasso

At , we live for the holidays. We are the European Travel-Tech leader in Dynamic Holiday Packages. With technology, we turn spontaneous thoughts into meaningful experiences, helping people travel the world.

Job Description

We are looking for an AI Implementation 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 Implementation Engineer
  • Working model - hybrid from Switzerland
  • Team - you will join the new Automation department.
  • Level - Professional
  • Location - Chiasso, Switzerland (only for hybrid positions)
  • Contract - Permanent - full-time (EUR 36 h/week)

What your impact will be:

  • 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 or Google Gemini) with our existing tools using APIs, low-code platforms like n8n, and custom connectors.
  • Create data pipelines: Build systems that collect and prepare data for use in AI models and machine learning workflows.
  • Develop and train ML models: Work on models for tasks like lead scoring, forecasting, customer experience (CX) optimization, and qualification of prospects.
  • 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, Dev Ops, and other developers to make sure AI tools are scalable and reliable.

What You Might Build

  • NLP-based systems that analyze calls and emails
  • 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
Qualifications

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:

  • AI/ML Development: Skilled in building and deploying machine learning models using frameworks such as Tensor Flow or PyTorch.
  • 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.
  • NLP & Generative AI: Experience with natural language processing tools and large language models (LLMs) for generative tasks.
  • Cloud & Deployment: Comfortable working with cloud platforms (AWS, Azure, GCP), container tools (Docker, Kubernetes), and serverless architectures.
Additional Information

Perks of working with us:

How we work together:

  • An inclusive, friendly, and international environment (you’ll be working with colleagues from +10 countries and over 48 nationalities)
  • Shorter working week (36h as full time), with a half working day on Fridays
  • Flexible start and end of the working day, with core hours from 10:00 to 4:00 pm
  • Possibility…
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