AI/ML Engineer

Role Overview As an AI/ML Engineer at Rivero, you will play a central role in architecting and delivering scalable, production-grade AI solutions. Your work will span from infrastructure to deployment, with a strong emphasis on operational excellence, fast iteration, and applying large language models to real-world problems. Key Responsibilities/Tasks Design, implement, and deploy production-ready, scalable AI/ML systems, including multimodal foundation model solutions. Build robust APIs, evaluation pipelines, infrastructure, and observability layers. Rapidly prototype and assess new AI frameworks, libraries, and tools to improve system performance, developer velocity, or product capabilities, then transition to well-architected, maintainable systems. Collaborate with product, data, and engineering teams to translate business problems into AI-powered solutions. Contribute to building and evolving the internal ML platform and toolset, including CI/CD for ML, and experiment tracking and evaluation. Embrace spec-driven development, where we own the specs and design intent and LLMs handle much of the implementation, always with a human in the loop. What We Are Looking For We're looking for an AI Engineer who's passionate about building robust systems, experimenting quickly, and shipping value through AI. Above all, you're an AI optimist: you reach for these tools first, push their limits, and get energized by what they make possible rather than waiting to be convinced. Skills & Competencies Strong Python programming skills and experience with ML/AI libraries such as PyTorch, Hugging Face Transformers, LangChain and LangGraph. Experience deploying and maintaining production-ready ML systems, including monitoring, testing, and continuous delivery. Expertise with LLMs, vector databases, retrieval-augmented generation (RAG), and building agentic systems with tool use and orchestration. A structured approach to evaluating LLM performance and understanding prompt behaviour across model variants and versions. Hands‑on experience with cloud platforms (GCP, AWS, or Azure). Infrastructure-as-code or container orchestration tools are an advantage. Ability to iterate quickly with prototypes, then transition to well-architected, maintainable systems. Collaborative mindset and excellent communication skills for working across functions and disciplines. Additional Requirements This is an on-site role Candidates must currently hold the right to live and work in the EU/EFTA area. What is it like to work at Rivero? Act with urgency, working in fast, iterative cycles to deliver meaningful results quickly. We take initiative and collaborate effectively to keep things moving forward. Strive for excellence, taking ownership of our work and delivering high-quality outcomes. We hold ourselves accountable, continuously improve, and aim to exceed expectations in all areas across the organisation. Embrace growth as both individuals and as a company. We are ambitious, open-minded, and focused on learning from every challenge. Follow an open-book management approach: We are fully transparent, sharing not only the information you need to do your job but also providing insights that help you understand how Rivero is doing as a whole. We want to ensure that everyone is equipped to make informed decisions and contribute to our overall success. Perks And Benefits Collaborative Workspace: Work from a historic building only two minutes from the Oerlikon station, with a park next door and great food/coffee options. Alternatively, great co-working spaces are available for employees in select locations. International Startup Culture: Work with a diverse team in a role with room to take ownership and growth opportunities as the company expands. Learn Continuously: Benefit from frequent academy sessions hosted by your peers on a variety of topics that help you both learn and grow. Social Events: Enjoy regular social events and bi-annual on-site company events in Zurich. Give Back to the Community: Enjoy five extra days beyond your annual holiday allowance to give back to society through volunteering or community work. Dog-Friendly Office: Bring your furry friends to the office! Flexible Tech Set-up: Choose your preferred hardware that best sets you up for success. Mobile Allowance: Receive an allowance to cover your mobile subscription costs. Ownership Opportunities: Participate in the company's success through stock options. #J-18808-Ljbffr