RF Engineer Intern

Viasat; Lausanne; Hybrid; CHF 140.000 - 190.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Competitive compensation package

Beautiful office near Prilly-Malley

Relocation assistance

Zusammenfassung

Nexthink is seeking a Senior AI Engineer to prototype, mature, and ship AI-powered capabilities into its cloud platform. You will lead architectural decisions, establish best practices, and ensure AI systems are scalable, observable, and production-grade.

You will mentor engineers, collaborate cross-functionally, and drive impactful AI projects in a fast-paced environment. Hybrid work model with competitive compensation awaits.

Qualifikationen

• Bachelor's or Master’s degree in Computer Science, ML, Data Science, or related field.
• 5+ years of professional software engineering experience, shipping and operating cloud services in production.
• Hands-on experience with LLM-powered production applications or ML/NLP applications.
• Strong Python skills and familiarity with AI frameworks.
• Experience with NLP systems (embeddings, semantic search, retrieval) and MLOps practices.

Aufgaben

• Design, develop, and operate production-grade AI/ML systems, including LLM-powered apps and RAG pipelines.
• Make architectural decisions across model selection, training, fine-tuning, retrieval, orchestration, and infra.
• Integrate external AI services into Nexthink’s cloud platform.
• Address data collection, retrieval, evaluation, latency, and cost optimization challenges.
• Collaborate with product, design, and software teams to ship features.

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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 1200 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.

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.