Teams at Julius Baer

Develop, deploy, and optimize machine learning and AI solutions, including multi-agent systems, RAG applications, LLM integrations, agentic workflows, and production AI models. Evaluate and improve model performance, prompts, and outputs while collaborating with platform, data engineering, data science, and cross-functional teams. Participate in software development, testing, debugging, code reviews, and lifecycle delivery within a DevOps environment.

Develop, deploy, and optimize machine learning and AI solutions, including multi-agent systems, tool-calling capabilities, RAG systems, and LLM-based applications. Evaluate and improve model performance, prompts, agentic workflows, and production reliability. Collaborate with platform teams, data engineers, data scientists, and stakeholders while contributing to testing, debugging, code reviews, and software development best practices.

Conduct name screening and searches for prospective and existing clients, review and document screening hits, escalate potential matches, and ensure accurate account-opening and lifecycle documentation. The role supports internal relationship managers, regulatory compliance, process improvement, user acceptance testing, and collaboration with Compliance and other stakeholders.