AI Implementation Engineer at lastminute.com

Chiasso, Ticino, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

11 May, 26

Salary

0.0

Posted On

10 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Development, Machine Learning, Natural Language Processing, Generative AI, Data Pipelines, APIs, Python, JavaScript, Cloud Platforms, Docker, Kubernetes, Git, CI/CD, Low-Code Platforms, Technical Troubleshooting, Security Awareness

Industry

Software Development

Description

Company Description At lastminute.com, 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, DevOps, 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: Languages & Tools: Hands-on experience with n8n, low-code platforms (like Mendix), and programming in Python and/or JavaScript. AI/ML Development: Skilled in building and deploying machine learning models using frameworks such as TensorFlow 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 to work from anywhere for a period of time per year defined according to local regulations How we learn together: Fri-Yays: half a day on Friday morning with a no-meeting mandate and dedicated to deep work, personal growth, learning and training and/or focus time. Professional and managerial skills development training paths, access to e-learning platforms such as O’reilly, Udemy, Coursera (depending on the department), and to our internal platform offering bespoke training content Other perks: 2 paid days off per year for volunteering purposes Occasional social events to foster connections among colleagues Travel industry discounts and flash exclusive staff fares We support our employees through life's significant moments with leave options (e.g parental responsibilities, marriages, bereavements, relocations, etc.) in line with local laws. Wish you were here? We do, too! Selection process steps*: HR interview (10-30 minutes) 1st interview (Manager): soft skills + technical knowledge Business Case 2nd interview (Business stakeholder) - Optional 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. Department: Automation

Responsibilities

The AI Implementation Engineer will design and build custom AI solutions to enhance the travel experience for holidaymakers. They will also integrate AI tools with existing systems and develop machine learning models for various business processes.