Backend Engineer (AI Integration) 100% (f/m/d)

Julius Baer; Madrid; Presencial; EUR 55.000 - 75.000; Jornada completa

Descripción de la vacante

Julius Baer in Madrid seeks a software engineer/DevOps specialist to lead AI integrations within the software delivery toolchain, ensuring secure and scalable deployments.

You will collaborate with AI Product Engineers, prototype LLM/RAG pipelines, and implement APIs and automation across CI/CD, observability, and developer workflows. The role requires 3–5 years of relevant experience and strong security awareness.

Formación

• 3–5 years of experience as a software engineer or DevOps/MLOps specialist.
• Strong knowledge of CI/CD pipelines, cloud environments, containerization (Docker/K8s), and APIs.
• Experience integrating ML/Generative AI components into production systems with focus on scalability, security, and maintainability.
• Security-aware and familiar with enterprise standards for tooling, ensuring data protection and compliance.
• Comfortable working in agile, cross-functional teams with strong communication.
• Master or Bachelor in Computer Science or related field, or proven relevant experience.
• Very good English level.

Responsabilidades

• Own the engineering and integration layer of AI capabilities into the software delivery toolchain.
• Collaborate with AI Product Engineers and platform teams to scope AI opportunities.
• Prototype and validate LLM-based or retrieval-augmented generation (RAG) pipelines.
• Contribute to AI-driven automation across developer productivity platforms.
• Develop and maintain APIs, pipelines, and service integrations for AI features in CI/CD, observability, and developer workplace.
• Ensure traceability, logging, and compliance of integrated solutions with enterprise standards.
• Drive best practices for automation, monitoring, and reproducibility.

Conocimientos

CI/CD pipelines

Cloud environments

Docker/K8s

APIs

AI integration

MLOps

Agile teams

English proficiency

Educación

Master or Bachelor in Computer Science or related field

Descripción del empleo

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

• 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