> Markdown version of [/jobs/ext/4609768-ai-software-engineer](https://www.wearedevelopers.com/jobs/ext/4609768-ai-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI Software Engineer

- **Company:** Julius Baer
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Integration Architecture, Continuous Integration, DevOps, Machine Learning, Software Product Management, Data Logging, Cloud Platform System, Large Language Models, Generative AI, Containerization, Kubernetes, Information Technology, Machine Learning Operations, Docker
- **Published:** November 7, 2026
- **Apply:** https://www.adzuna.es/details/5955450511

## About the Role

* 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

## Description

* 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