IT & Softwareentwickler Stellenangebote in der Schweiz

AI Engineer (f/m/d)
CHF 125’000 - 135’000
Hapimag AG
Sumpfstrasse 18, Steinhausen, ZG
CHF 125’000 - 135’000
Anforderungen
Muss:
• Completed degree (FH, University, ETH) with a focus on computer science or equivalent.
• Minimum 5 years experience as a Software Engineer, preferably backend (Python or Java).
• Good knowledge of large language models (LLMs), retrieval-augmented generation (RAG), agentic design patterns, generative AI, Model Context Protocol and machine learning.
• In-depth understanding of modern software architectures and development best practices.
• Experience in end-to-end building and operating scalable AI-based systems.
• Proven experience in developing and integrating enterprise applications and solutions.
• Knowledge of DevOps (Kubernetes), databases (MySQL, PostgreSQL), GCP ecosystem, API gateways (e.g., Apigee) and Pub-Sub technologies (Kafka or similar) is a big plus.
• Fluent communication (oral/written) in English is a prerequisite; German skills and other foreign languages are a significant advantage.
• Proactive, collaborative personality with a high sense of responsibility and didactic skills.
Verantwortlichkeiten
• Take a leading role in the AI journey of Hapimag by supporting the definition of the AI strategy and being a main part in its execution.
• Challenge current processes and boost their efficiency by integrating AI features.
• Oversee and implement AI-related features, from content creation to chatbots.
• Drive the process of delivering new features for both customer- and staff-facing systems.
• Play a key role in Hapimag’s digital transformation process.
Methodologie
Beschreibung
AI Engineer (f/m/d) Steinhausen (Zug), SWITZERLAND Workload: 80-100% Starting: Immediately / Upon agreement We are Hapimag: a sharing community for vacation rentals. We own and operate 56 vacation rentals in various popular destinations across Europe – by the sea, in the mountains, and in cities. And why? Because we want to go on vacation in a relaxed and mindful way. Our team is highly committed to simplifying the holiday experience for our guests and members, from booking their stay to planning their next vacation. All processes for guests and employees are designed to be so intuitive and efficient that our guests not only look forward to their next stay but also take many wonderful memories with them and are happy to come back. To fulfill our mission, we are looking for an enthusiastic and energetic team player! What we offer: • Challenging tasks and varied activities with the chance to develop and realize your potential in an international environment. • A modern open-office workplace at the Hapimag headquarters in Steinhausen (ZG) with good transport links. • Hybrid working model (up to 40% remote work) and the opportunity to occasionally work from a resort. • Attractive employee benefits for holidays in the Hapimag resorts. • Support for personal responsibility and further development of our employees. Apply now: Have we convinced you to become part of our Hapimag family and success story? We look forward to receiving your complete application file by E-Mail directly to: [email protected] Please note that for this position, Hapimag is exclusively considering and reviewing LinkedIn and direct E-Mail applications from candidates with an existing, valid residence and work permit for Switzerland. About Hapimag: As pioneers of the sharing economy, we are a team of over 1,800 people and approximately 120,000 members. Our common goal is to offer a high-quality and sustainable vacation experience. Together, we use 56 different vacation resorts in popular destinations across Europe – by the sea, in the mountains, or in cities – because we want to vacation in a relaxed and responsible way. Privacy policy for applicants: https://jobs.hapimag.com/en/privacy-notice
Zusatzleistungen
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Das Unternehmen mit den meisten offenen Stellen ist Rockstar Recruiting AG das fĂĽr 28 verschiedene Machine Learning Ingenieur Stellenangebote in der Schweiz einstellt. Sie sind wahrscheinlich sehr bemĂĽht, gute Machine Learning Ingenieure zu finden.