AI/ML Engineer

Rivero; Zürich; Vor Ort; CHF 120.000 - 190.000; Vollzeit

Benefits dieser Stelle

Collaborative Workspace

International Startup Culture

Learn Continuously

Social Events

Volunteer days beyond holidays

Dog-Friendly Office

Flexible tech setup

Mobile allowance

Stock options

Zusammenfassung

Rivero in Zürich, Switzerland seeks an AI/ML Engineer to architect and deliver scalable, production-grade AI solutions. You will work from infrastructure to deployment with a focus on operational excellence and rapid iteration.

You will design production-ready AI systems, build robust APIs and CI/CD for ML, and collaborate across product, data, and engineering teams to translate business problems into AI-powered solutions. This on-site role requires EU/EFTA work rights.

Qualifikationen

• Strong Python and ML libraries (PyTorch, Hugging Face) experience.
• Production ML systems deployment, monitoring, testing, CD/CI.
• Expertise with LLMs, vector DBs, RAG, and agentic systems.
• Structured evaluation of LLM performance across variants.
• Cloud experience (GCP, AWS, or Azure); IaC/containers a plus.
• Ability to prototype quickly and evolve to robust systems.
• Collaborative, clear communication across teams.

Aufgaben

• Design, implement, and deploy scalable AI/ML systems and multimodal foundation models.
• Build APIs, evaluation pipelines, infrastructure, and observability layers.
• Prototype new AI frameworks and transition to maintainable, well-architected systems.
• Collaborate with product, data, and engineering to translate problems into AI solutions.
• Contribute to internal ML platform, including CI/CD for ML and experiment tracking.
• Adopt spec-driven development with human-in-the-loop for implementation.

Kenntnisse

Python

PyTorch

Hugging Face Transformers

LangChain

LangGraph

ML model deployment

LLMs & RAG

Cloud platforms (GCP/AWS/Azure)

CI/CD for ML

Experiment tracking

Team collaboration

Jobbeschreibung

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.