• Responsible for designing, developing, implementing, troubleshooting, and optimizing scalable, high-performance software and product applications • Assesses and defines software and product requirements, establishing the specifications and standards that guide scalable, high-quality development • Executes coding, debugging, testing, and troubleshooting across the full development lifecycle, incorporating AI-assisted and agentic development approaches to maintain quality and delivery efficiency • Develops and advances software and product capabilities that integrate with design systems, infrastructure, databases, and cloud-based platforms, all with the goal of maximizing operational efficiency • Evaluates application requirements and architect’s database solutions that ensure scalability, performance, and data integrity • Serves as a subject matter expert in AI-assisted development practices; acts as a resource for the engineering team on the effective and disciplined application of AI coding tools, informs development standards around AI use, and reinforces quality expectations through code reviews

• Design and build AI-powered applications and integrations across a variety of use cases • Lead implementation of small- to medium-scale AI solutions, with contribution to larger enterprise initiatives • Translate business requirements into scalable, supportable technical architectures • Design and implement data pipelines for AI/ML use cases (ingestion, transformation, and delivery) • Prepare and manage datasets for AI consumption, including cleansing, normalization, and feature engineering • Ensure data quality, lineage, and readiness for model training and inference • Apply best practices for handling sensitive data, including PII and regulated data • Evaluate and apply appropriate AI/ML (regression models, NLP, LLMs, Multi-modal models, embedding models, etc.) approaches based on use case. • Design and implement retrieval systems, including Retrieval-Augmented Generation (RAG) • Apply agentic AI patterns and architectures to enable multi-step reasoning and orchestration • Support training, fine-tuning, and optimization of models where applicable • Implement techniques such as model distillation, quantization, and performance tuning • Balance cost, performance, and accuracy in model selection and deployment • Build and integrate AI capabilities into enterprise systems, APIs, and workflows • Design scalable, secure architectures for AI services and applications • Ensure solutions are production-ready, maintainable, and aligned to enterprise standards • Engage with business stakeholders to gather and refine requirements • Clearly articulate technical concepts, trade-offs, and solution approaches • Validate requirements and translate them into actionable technical plans • Act as a bridge between business and engineering teams

• Develop practical AI, machine learning and optimization solutions that help technical and operational teams make complex industrial data easier to understand, explore, and act on. • Apply frontier AI models, including large language models, foundation models, and multimodal approaches, to create reliable tools for search, analysis, knowledge discovery, and decision support. • Build AI-enabled applications that combine models, data pipelines, prompts, agents, evaluations, optimization logic, and user feedback into solutions that are useful, explainable, and maintainable. • Design and use knowledge graphs, ontologies, and structured domain knowledge to connect process data, experimental data, documents, terminology, assets, materials, and business context. • Work with domain experts to translate scientific, engineering, process control, and operational questions into data products, model workflows, optimization approaches, and user-friendly analytics experiences. • Develop robust pipelines for structured and unstructured data. • Contribute to model validation, monitoring, documentation, governance, and continuous improvement so that deployed solutions can be trusted in real industrial environments. • Collaborate across data science, engineering, digital technology, operations, and business teams to deliver solutions that create measurable value and are designed for adoption.

Company Description 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 application or network, before employees notice the issue. As the first solution to allow IT to progress from reactive problem solving to proactive optimization, Nexthink enables its more than 1,500 customers to provide better digital experiences to more than 25+ million employees. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, Nexthink has 9 offices worldwide. #LI-Hybrid Job Description At Nexthink, we are embedding AI agents into the core workflows of our Product organization. We are seeking an AI Agent Engineer to design, build, and continuously improve intelligent agents that augment and automate high-impact product operations activities. This role supports Nexthink's Product organization, serving a group of 30+ people across Product Management, Product Education, Library, and Product Operations. You will operate in a highly autonomous role, owning the architecture, behavior, and quality of AI agents that improve decision-making, reduce manual work, and increase execution speed. You will combine applied AI engineering with strong systems thinking. The focus is not model research, but production-grade agent design, evaluation, governance, and workflow integration. This role requires strong ownership, product empathy, and comfort operating independently in a production environment with real business impact. What you'll do Design and architect AI agents - Design reusable AI agent patterns for Product workflows such as research synthesis, PRD (Product Requirement Document) drafting support, roadmap analysis, operational triage, and knowledge retrieval. - Define agent instructions, tool schemas, guardrails, and structured output contracts. - Architect human-in-the-loop decision boundaries where appropriate. Integrate agents into product workflows - Integrate AI agents into Microsoft 365, Copilot Studio, Power Platform, AWS services, and internal systems. - Define and maintain action interfaces between agents and deterministic systems (APIs, workflows, runbooks). - Ensure reliable orchestration across conversational and workflow layers. Own quality, evaluation, and governance - Define measurable success criteria for agent outputs. - Build lightweight evaluation frameworks and regression testing for prompts and behavior. - Monitor output quality, hallucination risk, cost, and drift over time. - Establish safe usage guidelines and governance boundaries. Operate and improve in production - Monitor agent usage, reliability, and impact. - Optimize performance, token efficiency, and response structure. - Iterate on agent behavior based on real usage patterns and feedback. - Proactively identify new opportunities where AI agents can improve Product workflows. Qualifications Must-have - 6-8+ years of experience building and owning production systems end to end. - Strong system design skills, including event-driven and serverless architectures, with clear trade-off reasoning. - Experience integrating systems through APIs, webhooks, REST, and Graph. - Practical experience designing or integrating AI or LLM-powered workflows in production. - Strong independent ownership and architectural judgment. - Ability to translate ambiguous business needs into structured, scalable AI-enabled solutions. - Excellent collaboration and communication skills. Critical competencies - Prompt and instruction design as structured system artifacts. - Tool and schema design for AI agents. - Evaluation methodology for AI systems (quality metrics, regression testing, failure pattern analysis). - Understanding of LLM failure modes and mitigation strategies. - Experience designing guardrails, structured outputs, and human approval flows. Nice to have - Experience with Microsoft Copilot Studio, Power Platform, or similar low-code orchestration tools. - Experience with AWS services such as Lambda, Step Functions, EventBridge, or Bedrock. - Familiarity with conversational UX design. - Experience embedding AI into internal productivity workflows. At Nexthink, you will join a dynamic, fast-growing team where innovation and ownership are encouraged. This is more than an engineering role-it's an opportunity to shape how we work, scale our impact, and bring AI-powered automation into the heart of our product operations. 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. If 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! Check what we offer: - Permanent Contract and a competitive compensation package. - Amazing centrally located offices near the Bernabeu Stadium. - Private Health Insurance (Sanitas) and daily meal vouchers of 11 EUR will be entirely covered by us. - 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 23 days of holidays we offer) plus 3 company-paid volunteer days. - Up to 25 EUR per month for a gym subscription. - Flexible compensation plan for childcare & public transportation. - ‍ Reimbursement of up to 50% of the cost of English & Spanish classes. - Fresh fruit, cookies, soft drinks and protein shakes at the offie. - Regular company and team events like Pizza talks, Team Building activities, Christmas parties, 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. The base salary for this role is €50,000 - €65,500 gross per year, with a total on-target earnings (OTE) range of €55000 - 71500€ including an annual performance bonus. You'll also be part of our broader total rewards package - including benefits tailored to where you live and how you work best. We set our pay ranges using objective criteria: the scope and level of the role, the skills it takes to do it well, and the relevant market data. Ranges are reviewed every year to remain competitive and fair. We're transparent about this because we think you deserve to know what you're working towards from day one. In accordance with the EU Pay Transparency Directive (2023/970), we publish salary ranges on every Nexthink role. We won't ask what you currently earn or your previous salary. What matters to us is what this role is worth and whether it works for you. Nexthinkers come from all kinds of backgrounds, and that's what makes us stronger. We welcome applications from everyone.