Software Engineer AI Research (Mid-Senior)

Nexthink Lausanne, Vaud – Schweiz Veröffentlicht am 24/09/2026
Stellenbeschreibung
Overview

As a hands-on software engineer in Nexthink’s AI research team, you will build fast, real-world AI prototypes and evaluate their value for users. You’ll collaborate with product, engineering, and leadership to shape prototypes that can become products. Your work balances technical depth with a strong focus on user experience, ensuring designs are adaptable for future productization. This role offers the chance to experiment with AI while contributing to a broader mission of proactive IT体验 optimization.

Leistungen / Benefits
  • Permanent contract with competitive compensation
  • Hybrid work model with onboarding structure
  • Flexible hours and unlimited vacation plus 3 company-paid volunteer days
  • Fitness centre access
  • Reimbursement of half-fare travel card
  • Relocation package
Verantwortungsbereiche
  • Build advanced AI-powered prototypes fast enough for real users
  • Create demos and run experiments to validate user value and product potential
  • Make architecture decisions to keep prototypes easy to iterate and product-ready
  • Experiment with new AI tools and techniques, share learnings, and raise engineering standards via code reviews, pairing, and mentoring
Zentrale Anforderungen
  • BSc in Computer Science, Software Engineering, or related field
  • 5+ years of professional software engineering experience
  • Strong foundation in software engineering, system design and architecture (enterprise-scale or distributed systems)
  • Proven experience turning ideas from prototype into real, used software
  • Hands-on, code-first mindset with comfort in ambiguity and research-driven work
  • Obsessed with user experience and able to judge when something is good enough for customers
  • Strong interest in AI and willingness to experiment with AI tooling (LLMs)
  • Willingness to take technical ownership and mentor less experienced engineers
  • user-focused mindset
  • clear and structured communication
  • mentoring and pairing with others
  • AI tooling and experimentation with LLMs
  • prototype-to-product mindset
  • strong software engineering and system design
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