About the company

One of our clients is a Swiss enterprise AI company, based in Zürich, that builds dependable AI systems for regulated industries such as financial services, insurance and manufacturing. Their team combines strong engineering with research roots, and their customers value privacy, reliability and clear answers about how the systems behave.

The role

They are looking for an Applied AI Engineer to take AI capabilities from pilot to production inside customers' real workflows. You would work with product teams, domain experts and customer engineers, and you would be trusted to make the technical calls on quality, monitoring and cost.

Responsibilities

• Build and integrate AI and LLM features into products, workflows and existing enterprise systems.
• Develop reliable services and data integrations using APIs, databases and cloud infrastructure.
• Evaluate AI output quality, reliability, latency, privacy and cost. Implement monitoring and fallback strategies.
• Work with product teams, domain experts and customers to turn operational problems into technical solutions.
• Support deployment, maintenance and continuous improvement of production AI systems.
• Document architecture and communicate tradeoffs to technical and nontechnical stakeholders.

Core qualifications

• Strong Python and software engineering fundamentals, with experience shipping production services or customer facing applications.
• Practical experience with LLM APIs, RAG, applied machine learning or agentic workflows.
• Experience with APIs, data pipelines, databases and cloud based systems.
• Understanding of testing, observability, privacy and reliability considerations for enterprise software.
• Ability to work independently and collaborate across product, engineering and customer teams.

Nice to have

• Experience in financial services, insurance, healthcare, manufacturing, robotics or another complex business domain.
• Experience with MLOps, model serving, evaluation frameworks, vector search or workflow orchestration.
• Research to product experience or work in a deep tech startup or university spinout.
• German or French, depending on the target employer and customer segment. Language requirements vary by role.