Senior AI Egnineer

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. /p p#LI-Hybrid /p h3Job Description /h3 pAre 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! /p pAs 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. /p h3Responsibilities /h3 h3AI Engineering Architecture /h3 pDesign, develop, andoperateproduction-grade AI/ML systems, including LLM-powered applications, NLP models, RAG pipelines, and multi-agent systems /p pMake key architectural decisions across model selection, training strategies, fine-tuning, retrieval mechanisms, orchestration layers, and infrastructure /p pIntegrate external AI services (e.g., LLM providers) into Nexthink’s cloud platform /p pSolve engineering challenges related to data collection, retrieval, evaluation, inference, latency, and cost optimization /p h3AI Done Right – Evaluation Quality /h3 pDefine robust online and offline evaluation frameworks and success metrics /p pInstrument dashboards and monitoring systems to track quality and detect regressions in production /p pDesign automated evaluation pipelines for prompts, embeddings, models, and agent workflows /p pEnsure observability and reliability of AI systems at scale /p pImplement andmaintainreproducible ML pipelines and CI/CD workflows for AI components /p pManage deployment, monitoring, and lifecycle of models and AI artifacts in production /p pOptimizesystems for scalability, performance, throughput, and cost /p pWork with AWS (or equivalent cloud platforms), Docker, and orchestration frameworks (Kubernetes/ECS) /p h3Product Cross-Functional Collaboration /h3 pCollaborate closely with product managers, designers, software engineers, and data scientists /p pTranslate ambiguous product requirements into incremental, testable engineering plans /p pProactively propose new AI capabilities based on user insights and technology advancements /p pCommunicate complex AI concepts clearly to both technical and non-technical stakeholders /p pMentor and coach junior AI engineers in production best practices /p pEstablish engineering standards and AI best practices within the team /p pFoster a culture of experimentation, learning, and knowledge sharing /p h3Qualifications /h3 pBsc/Master’s degree in Computer Science, Machine Learning, Data Science, ora relatedfield. /p p5+ years of professional software engineering experience, including shipping and operating cloud services in production /p pHands-on experience inLLM-powered production applicationsor ML/NLP applications. /p pStrongproficiencyin Python and AI frameworks /p pStrong understanding of machine learning fundamentals (supervised/unsupervised learning, optimization, model evaluation). /p pSolid understanding of machine learning fundamentals (training, optimization, evaluation) /p pExperience with NLP systems (embeddings, semantic search, retrieval systems, text classification, etc.) /p pExperience integrating and operating LLMs (prompting, evaluation, observability, RAG, agentic workflows) /p pHands-onMLOpsexperience: reproducible pipelines, experiment tracking, automated evaluation, CI/CD for models and prompts /p pKnowledge of reinforcement learning, retrieval-augmented generation (RAG), and multi-agent AI architectures. /p pStrong data intuition: ability to inspect logs, design metrics, and quicklyidentifyregressions /p pProven experience with AWS and cloud-based AI deployments. /p pStrong communicationskills in English, capable of explaining complex AI concepts to technical and non-technical stakeholders /p pExcellent problem-solving skills and ability to work in a fast-paced, collaborative environment. /p h3Strong Plus /h3 pStrong AWS (or equivalent cloud platform) experience for scalable AI infrastructure. /p pExperienceoptimizingmodels for latency, throughput, and cost. /p pExperience fine-tuning large language models. /p pFamiliarity with multi-agent systems and orchestration frameworks. /p pExperience designing AI systems in enterprise or B2B environments. /p pIfyou’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. /p h3Additional Information /h3 pWe 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. /p pWith 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. /p pIf 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! /p bCheck what we offer: /b ul liPermanent Contract and a competitive compensation package. /li liBeautiful office,conveniently located next to the Prilly-Malley train station /li liHybrid work model balancing office and remote work, with a structured approach for new hires to foster connections and onboarding. /li liFlexible Hours and unlimited vacation (employees have unlimited paid time off on top of the 25days of holidays we offer)plus 3 company-paid volunteer days. /li liFree access to a fitness centre inside the building. /li liReimbursement of the half-fare travel card for public transport. /li liReimbursement up to 50% of the cost of French classes. /li liRegular company and team events like Voluntary Days, Pizza talks, Team Building activities, hosting Meetups at the office and more! /li liBonuses for referring successful hires after three months of continuous employment. /li liWe offer a relocation package to people who are coming from another country. /li /ul pPlease 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. /p /p #J-18808-Ljbffr