At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together. At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together. YOUR CHALLENGE - Own the engineering and integration layer of AI capabilities into the software delivery toolchain, ensuring secure, scalable, and maintainable delivery of AI solutions through automation and collaboration with platform teams - Collaborate closely with AI Product Engineers and platform teams to define and scope opportunities for AI-driven innovation - Prototype and validate Large Language Model (LLM)-based or retrieval-augmented generation (RAG) pipelines to drive business value - Contribute to AI-driven automation efforts across developer productivity platforms, enhancing efficiency and effectiveness - Develop and maintain APIs, pipelines, and service integrations for AI features within existing platforms, such as CI/CD, observability, and developer workplace - Ensure traceability, logging, and compliance of integrated solutions, adhering to enterprise standards and security best practices - Drive best practices for automation, monitoring, and reproducibility, promoting a culture of continuous improvement YOUR PROFILE - 2-4 years of experience as a Software Engineer, but with a strong background in AI integration and automation - Strong knowledge of DevOps/MLOps, CI/CD pipelines, Cloud environments, containerization (Docker/K8s), and APIs. - Experience integrating Machine Learning (ML) and Generative AI components into production systems, with a focus on scalability, security, and maintainability - Security-aware and familiar with enterprise standards for tooling, ensuring the highest levels of data protection and compliance - Comfortable working in agile and cross-functional teams, with excellent communication and collaboration skills - Master or Bachelor in Computer Science or a related area, or proven relevant working experience - Very good English level We are looking forward to receiving your full job application through our online application tool. Further interesting job opportunities can be found on our Career site. Is this not quite what you are looking for? Set up a job alert by creating a candidate account here.
Summary
Own the engineering and integration layer of AI capabilities into the software delivery toolchain, prototyping LLM and RAG pipelines and building APIs and integrations. Requires 2-4 years of software engineering experience, strong DevOps/MLOps, CI/CD, cloud and containerization knowledge, and a bachelor's or master's in CS or equivalent experience.
Responsibilities
Own engineering and integration layer of AI capabilities into software delivery toolchain; collaborate with AI Product Engineers and platform teams; prototype and validate LLM/RAG pipelines; contribute to AI-driven automation across developer productivity platforms; develop and maintain APIs, pipelines and service integrations; ensure traceability, logging and compliance; drive best practices for automation, monitoring and reproducibility
Qualifications
2-4 years of experience as a Software Engineer with strong background in AI integration and automation; strong knowledge of DevOps/MLOps, CI/CD, cloud, containerization and APIs; experience integrating ML and Generative AI into production systems; security-aware; comfortable in agile cross-functional teams; Master or Bachelor in CS or related or proven experience; very good English
Education requirements
Master or Bachelor in Computer Science or a related area, or proven relevant working experience
Experience requirements
2-4 years of experience as a Software Engineer, with a strong background in AI integration and automation
How to apply
Full job application through online application tool