Software Engineer AI Research (Mid-Senior)

Nexthink is the leader in digital employee experience management software. The company provides IT leaders with unprecedented insight allowing them to see, diagnose and fix issues at scale impacting employees anywhere, with any application or network, before employees notice the issue. As the first solution to allow IT to progress from reactive problem solving to proactive optimization, Nexthink enables its more than 1,300 customers to provide better digital experiences to more than 18 million employees. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, Nexthink has 9 offices worldwide.

We are looking for a hands-on software engineer to join the AI research team at Nexthink. Your job is to build advanced prototypes that test whether an AI idea works, with enough value to put in front of real users, and to prove which ones are worth becoming products for Nexthink customers. You do not need to be an AI researcher, but you should be excited about the technology and keen to experiment and hack with it.

Engineering depth matters here: a prototype that meets real data and real users still has to be built well, and the design calls you make determine whether it can be productised later. We also expect you to be obsessed with the user: to imagine the whole journey and build the smoothest possible experience, not just a technical capability. The team works AI-first by default, and you will work closely with product, engineering and leadership so clear and structured communication is essential.

Responsibilities

Build advanced prototypes of AI-powered capabilities: fast, and good enough to put in front of real users; Build demos, run experiments and evaluations that show whether a capability works for our users and is worth pursuing; Make the design and architecture calls that keep a prototype fast to change now and viable to productise later; Experiment with new AI tools and techniques, share what you learn with the internal AI community, and raise the engineering bar through code review, pairing and mentoring

Requirements

BSc/MSc in Computer Science, Software Engineering, or a related field; 5+ years of professional software engineering experience, with a track record of building and shipping real software; Strong foundation in software engineering, system design and architecture, including enterprise-scale or distributed systems; Proven experience taking an idea from prototype to something real that people actually used; Hands-on and code-first, and comfortable with ambiguity and research-driven work; Obsessed with user experience: you think in user journeys, you have taste, and you can judge when something is good enough to put in front of a customer; Strong interest in AI and a real willingness to experiment: you have built things with LLMs or AI tooling, at work or on your own time, and want to do more of it; Comfortable taking technical ownership and mentoring less experienced engineers