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Senior AI Engineer at Nexthink | Lausanne

NexthinkLausanne
On-site Full-time

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Experience Level

Mid to Senior

Qualifications

Qualifications:Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field. Over 5 years of professional software engineering experience, including deploying and operating cloud services in a production environment. Practical experience with LLM-powered production applications or ML/NLP applications. Strong proficiency in Python and AI frameworks. Deep understanding of machine learning fundamentals (supervised/unsupervised learning, optimization, model evaluation). Familiarity with NLP systems (embeddings, semantic search, retrieval systems, text classification, etc.). Experience integrating and managing LLMs (prompting, evaluation, observability, RAG).

About the job

Are you driven by a passion for artificial intelligence and eager to foster innovation in a dynamic, impactful setting? If you possess experience in developing AI-enhanced applications and take pleasure in mentoring others, we would love to have you join Nexthink as a Senior AI Engineer!

In this pivotal role within our AI team, you will prototype, refine, and deploy AI-driven functionalities into Nexthink’s cloud platform. You will guide architectural decisions, establish best practices, and ensure that our AI systems are scalable, observable, and production-ready.

Key Responsibilities:

AI Engineering & Architecture

  • Design, develop, and manage production-grade AI/ML systems, including applications powered by large language models (LLMs), natural language processing (NLP) models, retrieval-augmented generation (RAG) pipelines, and multi-agent systems.

  • Make critical architectural choices regarding model selection, training methodologies, fine-tuning processes, retrieval frameworks, orchestration layers, and infrastructure.

  • Integrate external AI services, such as LLM providers, into Nexthink’s cloud ecosystem.

  • Tackle engineering challenges linked to data collection, retrieval, evaluation, inference, latency, and cost optimization.

AI Done Right – Evaluation & Quality

  • Establish robust online and offline evaluation frameworks along with success metrics.

  • Implement dashboards and monitoring systems to gauge quality and identify regressions in production.

  • Create automated evaluation pipelines for prompts, embeddings, models, and agent workflows.

  • Ensure the observability and reliability of AI systems at scale.

MLOps & Cloud Engineering

  • Develop and uphold reproducible machine learning pipelines and CI/CD workflows for AI components.

  • Oversee the deployment, monitoring, and lifecycle of models and AI artifacts in a production environment.

  • Enhance systems for scalability, performance, throughput, and cost efficiency.

  • Utilize AWS or equivalent cloud platforms, Docker, and orchestration frameworks (Kubernetes/ECS).

Product & Cross-Functional Collaboration

  • Work closely with product managers, designers, software engineers, and data scientists.

  • Translate ambiguous product requirements into clear, incremental, and testable engineering plans.

  • Proactively suggest new AI capabilities based on user insights and technological advancements.

  • Clearly communicate intricate AI concepts to both technical and non-technical stakeholders.

Leadership & Mentorship

  • Guide and mentor junior AI engineers in best practices for production.

About Nexthink

Nexthink stands at the forefront of digital employee experience management software. We equip IT leaders with unparalleled insights, enabling them to identify, diagnose, and resolve issues at scale that affect employees anywhere, across any application or network, before they even notice a problem. As the pioneering solution that transitions IT from reactive problem-solving to proactive optimization, Nexthink empowers over 1,300 customers to enhance digital experiences for more than 18 million employees. With dual headquarters in Lausanne, Switzerland, and Boston, Massachusetts, Nexthink operates across nine global offices.#LI-Hybrid

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