Senior AI Engineer

ppNexthink 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. /pp#LI-Hybrid /ppAre 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 /ppAs 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. /ph3Responsibilities /h3h3AI Engineering Architecture /h3ulliDesign, develop, andoperateproduction-grade AI/ML systems, including LLM-powered applications, NLP models, RAG pipelines, and multi-agent systems /liliMake key architectural decisions across model selection, training strategies, fine-tuning, retrieval mechanisms, orchestration layers, and infrastructure /liliIntegrate external AI services (e.g., LLM providers) into Nexthink’s cloud platform /liliSolve engineering challenges related to data collection, retrieval, evaluation, inference, latency, and cost optimization /li /ulh3AI Done Right – Evaluation Quality /h3ulliDefine robust online and offline evaluation frameworks and success metrics /liliInstrument dashboards and monitoring systems to track quality and detect regressions in production /liliDesign automated evaluation pipelines for prompts, embeddings, models, and agent workflows /liliEnsure observability and reliability of AI systems at scale /li /ulh3MLOps Cloud Engineering /h3ulliImplement andmaintainreproducible ML pipelines and CI/CD workflows for AI components /liliManage deployment, monitoring, and lifecycle of models and AI artifacts in production /liliOptimizesystems for scalability, performance, throughput, and cost /liliWork with AWS (or equivalent cloud platforms), Docker, and orchestration frameworks (Kubernetes/ECS) /li /ulh3Product Cross-Functional Collaboration /h3ulliCollaborate closely with product managers, designers, software engineers, and data scientists /liliTranslate ambiguous product requirements into incremental, testable engineering plans /liliProactively propose new AI capabilities based on user insights and technology advancements /liliCommunicate complex AI concepts clearly to both technical and non-technical stakeholders /li /ulh3Leadership Mentorship /h3ulliMentor and coach junior AI engineers in production best practices /liliEstablish engineering standards and AI best practices within the team /liliFoster a culture of experimentation, learning, and knowledge sharing /li /ulh3Strong Plus /h3ulliBsc/Master’s degree in Computer Science, Machine Learning, Data Science, ora relatedfield. /lili5+ years of professional software engineering experience, including shipping and operating cloud services in production /liliHands-on experience inLLM-powered production applicationsor ML/NLP applications. /liliStrongproficiencyin Python and AI frameworks /liliStrong understanding of machine learning fundamentals (supervised/unsupervised learning, optimization, model evaluation). /liliSolid understanding of machine learning fundamentals (training, optimization, evaluation) /liliExperience with NLP systems (embeddings, semantic search, retrieval systems, text classification, etc.) /liliExperience integrating and operating LLMs (prompting, evaluation, observability, RAG, agentic workflows) /liliHands-onMLOpsexperience: reproducible pipelines, experiment tracking, automated evaluation, CI/CD for models and prompts /liliKnowledge of reinforcement learning, retrieval-augmented generation (RAG), and multi-agent AI architectures. /liliStrong data intuition: ability to inspect logs, design metrics, and quicklyidentifyregressions /liliProven experience with AWS and cloud-based AI deployments. /liliStrong communicationskills in English, capable of explaining complex AI concepts to technical and non-technical stakeholders /liliExcellent problem-solving skills and ability to work in a fast-paced, collaborative environment. /li /ulpIfyou’reexcited about pushing the boundaries of AI and mentoring the next generation of engineers,we’dlove to hear from youEven if youdon’tmeet every requirement, we encourage you to apply—we valueexpertise, passion, and the drive to learn. /ppWe are the pioneers and trailblazers of a global IT Market Category (DEX) that is shaping the