Join Our Team at Ekona
At Ekona, we believe that AI isn’t just about technology – it’s 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. We are 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 you thrive in fast-paced environments and want to see your work transition from prototypes into real-world production, we want to hear from you. This is your chance to be part of a founding team where your contributions will directly shape 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 Ekona’s technical roadmap and actively shape our product and service offerings.
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.
Apply online using the form below. Only applications matching the job profile will be considered.