AI/ML Engineer

Jobbeschreibung

At ekona, we believe that AI isnt just about technology its about solving real-world problems with precision, creativity, and responsibility. As a Swiss AI engineering boutique, we deliver cutting-edge, trustworthy AI solutions to industries where quality and impact matter most: pharma & life sciences, supply chain & production, and financial services. Were looking for a dynamic, entrepreneurial AI/ML Engineer with hands-on experience in building AI multi-agent workflows and delivering production-ready products to customers. If youre driven by solving complex technical challenges, thrive in fast-paced environments, and want to see your work move beyond prototypes into real-world production, we want to hear from you. This is your chance to be part of a founding team where your work directly shapes products, solutions, and the future of AI engineering in Switzerland.

Responsibilities

• Design, develop, and deploy AI/ML models and multi-agent workflows that deliver tangible business value
• Build production-grade AI solutions, from prototyping to full-scale deployment in client environments
• Collaborate closely with clients, domain experts, and internal teams to translate complex business needs into practical AI solutions
• Develop robust, scalable, and secure AI pipelines following MLOps best practices
• Experiment with state-of-the-art AI technologies, particularly in agent-based systems and LLM-driven architectures
• Contribute to building a scalable, high-quality AI engineering practice rooted in Swiss reliability and precision
• Bring a hands-on, solution-oriented approach to ambiguous technical challenges
• Help define ekonas technical roadmap and actively shape our product and service offering

Requirements

• 3+ years of experience in AI/ML engineering, applied machine learning, or AI systems development
• Proven experience designing and implementing AI multi-agent workflows that have been deployed in production environments
• Strong Python skills and proficiency with key ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Solid understanding of MLOps principles, model lifecycle management, and data pipelines
• Track record of building and delivering production-ready AI products to real-world customers
• Entrepreneurial mindset self-starter comfortable in a startup environment where ownership, initiative, and flexibility are essential
• Excellent problem-solving skills with the ability to work independently and collaboratively
• Strong communication skills in English (German or French is a plus)

• Experience in pharma/life sciences, supply chain, or financial services is a plus, but not mandatory