AI/ML Engineer (On-site, Zürich)
Zürich, Switzerland
Rivero AG
SaaS products to digitalise & automate payment processes. Gain operational efficiency with smart software solutions for scheme compliance & dispute processes- Full Time
- On-Site Zürich
- Citizens of EU/EFTA/GB Only
Established in 2019 and headquartered in Switzerland, Rivero is a fast-growing European company and a Visa Fintech Partner specialising in streamlining payment operations within the highly regulated payments industry. We focus on offering unique SaaS solutions for fraud recovery, dispute management, and payment scheme compliance.
Rivero strives to stand as a front-runner in the industry, offering best-in-class SaaS solutions that combine innovation with deep expertise. We are looking for an ambitious and driven person to join us for the exciting phase ahead.
Tasks
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 emerging technologies, including large language models (LLMs).
Key Responsibilities/Tasks
In the AI Engineering Domain:
- Design, implement, and deploy production-ready, scalable AI/ML systems, including multimodal foundation model solutions.
- Build robust APIs, evaluation pipelines, infrastructure, and observability layers.
- Own the complete prompt engineering lifecycle—creation, testing, tracking, versioning, and management of prompts for LLM-based systems with structured evaluation approaches.
- 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.
In the Data Domain:
- Develop and maintain high-throughput data pipelines to support training, inference, and analytics.
- Work closely with product, operations, and sales & marketing teams to understand their data needs and enable self-service data access through tools like Google Sheets and Looker Studio.
Requirements
We're looking for an AI Engineer who's passionate about building robust systems, experimenting quickly, and shipping value through AI.
Skills & Competencies
You'll thrive in this role if you have:
- 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.
- Familiarity with LLMs, vector databases, prompt engineering, and prompt management tools.
- A structured approach to evaluating LLM performance and understanding prompt behavior 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
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.
At Rivero, we:
- 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.
Interested?
We’d love to learn more about you! Please share a few lines about yourself and why you’re excited to join our team, along with your CV.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Azure CI/CD Data pipelines Engineering FinTech GCP LangChain LLMs Looker Machine Learning Pipelines Prompt engineering Python PyTorch Testing Transformers
Perks/benefits: Career development Equity / stock options Flex hours Pet friendly Startup environment Team events
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