Senior AI Engineer

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 applicationor network, before employees notice the issue. As the first solutionto 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 millionemployees. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, Nexthink has 9 offices worldwide.

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 asanSeniorAIEngineer!

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,establishbest 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

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

Optimizesystems 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

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, ora relatedfield.

5+ years of professional software engineering experience, including shipping and operating cloud services in production

Hands-on experience inLLM-powered production applicationsor ML/NLP applications.

Strongproficiencyin 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-onMLOpsexperience: 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 quicklyidentifyregressions

Proven experience with AWS and cloud-based AI deployments.

Strong communicationskills 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.

Ifyou’reexcited about pushing the boundaries of AI and mentoring the next generation of engineers,we’dlove to hear from you!Even if youdon’tmeet every requirement, we encourage you to apply—we valueexpertise, 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.

We want to be the best place for tech talent to work. 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.
• 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.