Senior AI Engineer at Nexthink

Lausanne, Vaud, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

28 Sep, 26

Salary

0.0

Posted On

30 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Engineering, LLM Application Development, RAG Pipelines, MLOps, Python, AWS, NLP, Multi-agent Systems, Model Evaluation, CI/CD, Kubernetes, Docker, Semantic Search, Prompt Engineering, Cloud Architecture, Mentorship

Industry

Software Development

Description

Company Description 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. #LI-Hybrid Job Description Are you passionate about AI and eager to drive innovation in a fast-paced, impact-driven environment? Do you have experience developing AI-powered applications and enjoy mentoring others? If so, we invite you to join Nexthink as an Senior AI Engineer! As a senior member of the AI team, you will prototype, mature, and ship AI-powered capabilities into Nexthink’s cloud platform. You will lead architectural decisions, establish best practices, and ensure AI systems are scalable, observable, and production-grade. Responsibilities AI Engineering & Architecture Design, develop, and operate production-grade AI/ML systems, including LLM-powered applications, NLP models, RAG pipelines, and multi-agent systems Make key architectural decisions across model selection, training strategies, fine-tuning, retrieval mechanisms, orchestration layers, and infrastructure Integrate external AI services (e.g., LLM providers) into Nexthink’s cloud platform Solve engineering challenges related to data collection, retrieval, evaluation, inference, latency, and cost optimization AI Done Right – Evaluation & Quality Define robust online and offline evaluation frameworks and success metrics Instrument dashboards and monitoring systems to track quality and detect regressions in production Design automated evaluation pipelines for prompts, embeddings, models, and agent workflows Ensure observability and reliability of AI systems at scale MLOps & Cloud Engineering Implement and maintain reproducible ML pipelines and CI/CD workflows for AI components Manage deployment, monitoring, and lifecycle of models and AI artifacts in production Optimize systems for scalability, performance, throughput, and cost Work with AWS (or equivalent cloud platforms), Docker, and orchestration frameworks (Kubernetes/ECS) Product & Cross-Functional Collaboration Collaborate closely with product managers, designers, software engineers, and data scientists Translate ambiguous product requirements into incremental, testable engineering plans Proactively propose new AI capabilities based on user insights and technology advancements Communicate complex AI concepts clearly to both technical and non-technical stakeholders Leadership & Mentorship Mentor and coach junior AI engineers in production best practices Establish engineering standards and AI best practices within the team Foster a culture of experimentation, learning, and knowledge sharing Qualifications Bsc/Master’s degree in Computer Science, Machine Learning, Data Science, or a related field. 5+ years of professional software engineering experience, including shipping and operating cloud services in production Hands-on experience in LLM-powered production applications or ML/NLP applications. Strong proficiency in Python and AI frameworks Strong understanding of machine learning fundamentals (supervised/unsupervised learning, optimization, model evaluation). Solid understanding of machine learning fundamentals (training, optimization, evaluation) Experience with NLP systems (embeddings, semantic search, retrieval systems, text classification, etc.) Experience integrating and operating LLMs (prompting, evaluation, observability, RAG, agentic workflows) Hands-on MLOps experience: reproducible pipelines, experiment tracking, automated evaluation, CI/CD for models and prompts Knowledge of reinforcement learning, retrieval-augmented generation (RAG), and multi-agent AI architectures. Strong data intuition: ability to inspect logs, design metrics, and quickly identify regressions Proven experience with AWS and cloud-based AI deployments. Strong communication skills in English, capable of explaining complex AI concepts to technical and non-technical stakeholders Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. Strong Plus Strong AWS (or equivalent cloud platform) experience for scalable AI infrastructure. Experience optimizing models for latency, throughput, and cost. Experience fine-tuning large language models. Familiarity with multi-agent systems and orchestration frameworks. Experience designing AI systems in enterprise or B2B environments. If you’re excited about pushing the boundaries of AI and mentoring the next generation of engineers, we’d love to hear from you! Even if you don’t meet every requirement, we encourage you to apply—we value expertise, passion, and the drive to learn. Additional Information We are the pioneers and trailblazers of a global IT Market Category (DEX) that is shaping the future of how the world works, giving our customers’ IT Teams total digital visibility across their enterprise. Our innovative solutions integrate real-time analytics, automation, and employee feedback across all endpoints. This enables our IT teams to solve complex technical challenges, create ever more productive workplaces, and deliver happy, satisfied employees in the digital workplace. With over 1000 employees across 5 continents, Nexthink operates as One Team, connecting, collaborating and innovating to continuously grow. We call our employees ‘Nexthinkers’ and our commitment to diversity, inclusion, and equity is second to none. We currently have over 75 nationalities working with us, from all cultures and backgrounds, speaking many different languages. If you are looking for a change and like a nice atmosphere, lots of challenges, and having fun while working, this is a great opportunity for you! Check what we offer: 💼 Permanent Contract and a competitive compensation package. 📍 Beautiful office, conveniently located next to the Prilly-Malley train station 🏡 Hybrid work model balancing office and remote work, with a structured approach for new hires to foster connections and onboarding. 🏖️ Flexible Hours and unlimited vacation (employees have unlimited paid time off on top of the 25 days of holidays we offer) plus 3 company-paid volunteer days. 🤸 Free access to a fitness centre inside the building. 🚞 Reimbursement of the half-fare travel card for public transport. 🧑‍🏫 Reimbursement up to 50% of the cost of French classes. 🍉 Fresh fruit, cookies, and soft drinks as well. 🤝 Regular company and team events like Voluntary Days, Pizza talks, Team Building activities, hosting Meetups at the office and more! 📣 Bonuses for referring successful hires after three months of continuous employment. 🚚 We offer a relocation package to people who are coming from another country. Please note that not all the benefits listed above are available for temporary, contract, and internship roles. To ensure you have the most up-to-date information, we recommend checking with your Recruitment Partner. Department: Diagnostics Dept: Diagnostics Division: Engineering

Responsibilities

Design, develop, and operate production-grade AI/ML systems, including LLM-powered applications and RAG pipelines. Lead architectural decisions and mentor junior engineers to ensure scalable and observable AI capabilities within the cloud platform.