Backend Engineer (AI Integration) 100% (f/m/d)
juliusbaer · Madrid ·
- Category
- Backend
- Experience
- 3+ years
- Visa sponsorship
- No
juliusbaer · Madrid ·
Rackner · Remote
Deloittecm
Levio · Canada
Builds and integrates AI capabilities into wealth-management software, automating pipelines and collaborating with platform teams to deliver secure, scalable AI solutions.
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.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
3-5 years of experience as a software engineer or DevOps/MLOps specialist, with a strong background in AI integration and automation
Strong knowledge of 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.
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