Role Description We’re looking for an AI Engineer to bring production-grade AI into Qatium’s water management platform. You’ll design, build, and deploy LLM-powered features and AI agents that help utilities make smarter, faster decisions — from anomaly detection to conversational interfaces over network data. You’ll also define the standards, frameworks, and tooling that allow the whole team to move faster. What You’ll Do - Build and ship AI agents end-to-end (idea → production) - Own deployment, monitoring, and continuous improvement - Create reusable frameworks to accelerate AI development - Define evaluation standards (latency, cost, quality) - Enable other teams to build AI features independently Qualifications - Experience shipping LLM/AI systems to production (not just demos or notebooks) - Strong Python (APIs, async, and production systems) - Experience with LLM orchestration frameworks (LangChain, LangGraph, or similar) - Solid AWS expertise (Bedrock, EKS/ECS, Lambda, S3) with experience running AI workloads - Kubernetes fluency (deployments, debugging, CI/CD (Spinnaker, Travis, or similar)) - Experience designing multi-agent systems - End-to-end work mindset: from shaping the problem to production Requirements - Familiarity with LLM observability / safety tooling (Langfuse, Guardrails, or equivalent) - Background in data-intensive systems or IoT domains (recs, pipelines, search) relevant to network monitoring How You Work - You think in systems, not demos — from prompts and agents to infrastructure and reliability - You care about latency, cost, and correctness from day one - You balance speed vs robustness, knowing when to prototype and when to harden - You take end-to-end ownership — from notebook to production system serving real users - You’re hands-on with cloud and infrastructure (AWS, Kubernetes, CI/CD) and understand real-world trade-offs - You build things others can use and extend, not just things you understand - You’re curious about the domain — you invest in understanding water networks to build AI that’s actually useful - You work with collaborative velocity — aligning fast, unblocking others, and documenting so the team moves forward Benefits - Work on something that matters — Help solve a global challenge where your work has real-world impact — improving how water is managed at scale - Remote-first by design — Work from anywhere with the autonomy and flexibility to do your best work - Strong team — Collaborate with talented people who care about quality, move fast, and support each other - Growth — Learning budget, language platforms, and resources to keep improving your craft - Flexible compensation plan — Adapt part of your compensation to what matters most to you - Time to recharge — Enjoy your holidays from wherever you call home - Inclusive by default — We believe diverse perspectives lead to better decisions, better products, and a stronger team

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 1,300 customersto provide better digital experiences to more than 18 million employees. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, Nexthink has 9 offices worldwide. #LI-Hybrid Job Description 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 AI & ML Engineer! As a key member of our AI team, you will design, develop, and deploy scalable AI solutions, leveraging cutting-edge technologies to enhance digital employee experiences for millions worldwide. Responsibilities - Lead AI Development - Design and implement AI-powered products, with a strong focus on Agentic systems. - LLMs done right - Create evaluations and define metrics of success using cutting edge AI platforms. - MLOps - Implement and manage MLOps practices to streamline the deployment, monitoring, and maintenance of models and in production environments. - Collaboration & Leadership - Work closely with software engineers, data scientists, and product teams to align AI capabilities with business needs. - Mentorship & Coaching - Guide and support junior AI engineers, fostering a culture of learning and knowledge sharing. Qualifications - Bsc/Master's degree in Computer Science, Machine Learning, Data Science, or a related field. - Hands-on experience in LLM-powered production applications. - Strong proficiency in Python and AI frameworks (e.g., LangChain, PyTorch). - Proven experience with AWS and cloud-based AI deployments. - Solid understanding of AI model fine-tuning, optimization, and evaluation. - Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. - Eagerness to learn and adapt - Strong communication skills in English, capable of explaining complex AI concepts to technical and non-technical stakeholders - we believe in learning by sharing - Knowledge of reinforcement learning, retrieval-augmented generation (RAG), and multi-agent AI architectures. - Strong data intuition: ability to inspect raw logs, design metrics and quickly identify quality regressions - Hands-on experience with MLOps: reproducible pipelines, automated evaluations, feature stores, CI/CD for models or prompt/embedding configs - Familiarity with MLOps best practices for deploying and monitoring AI models in production. 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 1000 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. - Beautiful office with a view of Lake Geneva, 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.

Role Description Estamos en búsqueda de Ingenieros/as en IA Generativa – Sector Banca (Mid & Senior). Buscamos perfiles con: - 2-3 años de experiencia - Senior con 4-5 años de experiencia para participar en proyectos estratégicos de transformación digital en clientes del sector financiero, trabajando en soluciones basadas en LLMs, arquitecturas RAG y agentes inteligentes en entornos cloud. Principales responsabilidades: - Diseñar y desarrollar soluciones de IA Generativa aplicadas a casos de uso bancarios (asistentes virtuales, automatización documental, análisis inteligente, copilotos internos, etc.). - Implementar y orquestar agentes utilizando frameworks como LangChain y LangGraph. - Diseñar arquitecturas RAG (Retrieval-Augmented Generation) robustas y escalables. - Integrar modelos LLM (OpenAI, modelos open-source, Bedrock, etc.) en entornos productivos. - Desplegar soluciones en AWS asegurando buenas prácticas de seguridad, escalabilidad y gobierno del dato. - Colaborar con equipos de Data, Arquitectura y Negocio para definir soluciones técnicas alineadas a requerimientos regulatorios del sector banca. - Optimizar rendimiento, costes y calidad de respuestas de los modelos. Qualifications - Experiencia en proyectos de IA Generativa con LLMs. - Conocimiento práctico en desarrollo de agentes con LangChain y/o LangGraph. - Experiencia diseñando e implementando arquitecturas RAG. - Experiencia trabajando en entornos Cloud (AWS idealmente). - Programación en Python. - Experiencia en integración de APIs y microservicios. Requirements - Deseables: - Experiencia previa en sector Banca o Servicios Financieros. - Conocimientos en Data Engineering (pipelines, procesamiento de datos, vector databases). - Experiencia en Machine Learning tradicional (entrenamiento, evaluación, MLOps). - Conocimientos en AWS Bedrock, SageMaker u otros servicios de IA en AWS. - Experiencia con bases de datos vectoriales (FAISS, Pinecone, OpenSearch, etc.). - Buen entendimiento de prácticas de seguridad y cumplimiento normativo en entornos regulados. Benefits - Contrato indefinido con salario competitivo. - Modalidad flexible y posibilidad de trabajo remoto. - Plan de carrera personalizado y formación continua. - Participación en proyectos estables con alto componente técnico. - Flexibilidad horaria y enfoque en la conciliación. - Beneficios sociales adaptados a tus necesidades. Company Description Te invitamos a conocernos en http://www.neoris.com , Facebook, LinkedIn, Twitter o Instagram: @NEORIS.

About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero-to-one ideas into real products, and you "get stuff done" end-to-end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next. About the team As the senior engineer in our new Generative AI team, you will own the end-to-end development of AI-driven solutions that redefine how we provide support and automation for both internal teams and external customers. You will shape the underlying architecture and APIs for advanced systems building cutting-edge AI solutions that enable Airwallex to scale. Your contributions will directly influence innovation, set best practices, and establish the foundation for our expanding AI portfolio. What you'll do If you are passionate about building AI solutions that directly impact customers, thrive on solving tough technical challenges, and embrace a product-focused mindset, we invite you to shape the future of Finance and AI with us. Responsibilities: - Build AI solutions to enable growth and drive internal efficiency across the business. - Design and implement robust API and system architecture for new AI applications. - Collaborate closely with a cross-functional team to bring these AI solutions to life. - Embrace the challenges of a fast-paced, high-growth environment with a focus on innovation. Who you are We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory. Minimum qualifications: - 5+ years in backend software development, with a focus on AI. - Experience building internal or customer-facing products with LLMs. - Proficiency in Python. - Expertise in building efficient, large-scale software systems. - Skill in writing high-quality, maintainable code. - Experience in design and development of large-scale distributed, high concurrency, high load, high availability systems; - Excellent communication and mentoring abilities. - A relevant degree in Computer Science, Mathematics or related fields. Preferred qualifications: - Familiarity with MLOps practices and deployment pipelines for AI-driven products. Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.