AI Integration Engineer
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About the role
We are looking for an AI Integration Engineer with a strong software engineering, DevOps or MLOps background to take ownership of the engineering and integration layer of AI capabilities within the software delivery toolchain . You will work closely with AI Product Engineers and platform teams , helping to prototype, integrate and scale AI solutions across existing enterprise platforms. The role combines AI, Generative AI, LLMs, RAG, automation, APIs, cloud and DevOps practices , with a strong focus on building secure, scalable and maintainable production solutions. 🎯 Main responsibilities 🤖 AI Integration & Engineering 🔹 Own the engineering and integration layer of AI capabilities across the software delivery toolchain. 🔹 Collaborate closely with AI Product Engineers and platform teams to identify and define AI-driven innovation opportunities. 🔹 Prototype and validate Large Language Model (LLM) and Retrieval-Augmented Generation (RAG) pipelines . 🔹 Integrate Machine Learning and Generative AI components into production systems . 🔹 Develop scalable, secure and maintainable solutions following enterprise engineering standards. ⚙️ Automation, APIs & Platform Integration 🔹 Develop and maintain APIs, pipelines and service integrations for AI capabilities. 🔹 Integrate AI solutions into existing enterprise platforms, including areas such as CI/CD, observability and developer workplace platforms . 🔹 Contribute to AI-driven automation initiatives to improve developer productivity and operational efficiency. 🔹 Work with cloud environments, Docker and Kubernetes to deploy and operate AI solutions. 🔹 Promote automation, reproducibility and continuous improvement across the engineering lifecycle. 🔐 Security, Monitoring & Compliance 🔹 Ensure traceability, logging and monitoring of integrated AI solutions. 🔹 Apply enterprise security standards and best practices for data protection and compliance . 🔹 Help ensure that AI integrations are secure, reliable and maintainable. 🔹 Drive best practices around automation, monitoring and reproducibility . 👤 What are we looking for? ✔ 3–5 years of experience as a Software Engineer, DevOps Engineer or MLOps Engineer. ✔ Strong experience with software engineering, automation and platform integration . ✔ Experience integrating Machine Learning and Generative AI solutions into production environments . ✔ Knowledge of LLMs and RAG architectures . ✔ Experience developing and integrating APIs, pipelines and services . ✔ Strong knowledge of CI/CD pipelines and software delivery tooling . ✔ Experience working with cloud environments . ✔ Experience with Docker and Kubernetes . ✔ Understanding of scalability, security and maintainability requirements for enterprise applications. ✔ Security-aware mindset and familiarity with enterprise standards, data protection and compliance. ✔ Experience with logging, monitoring and observability . ✔ Comfortable working in Agile and cross-functional teams . ✔ Bachelor's or Master's degree in Computer Science or a related field , or equivalent relevant professional experience. ✔ Very good level of English . ⭐ Technology stack 🔹 Generative AI 🔹 LLMs 🔹 RAG 🔹 Machine Learning Integration 🔹 MLOps / DevOps 🔹 CI/CD 🔹 APIs 🔹 Cloud 🔹 Docker 🔹 Kubernetes 🔹 Automation 🔹 Observability & Monitoring 🔹 Logging & Traceability 🔹 Security & Compliance 🌍 What do
we offer
? 🏦 Join an international project with Julius Baer , one of Switzerland's leading Wealth Management groups. 🤖 Work at the intersection of AI, software engineering, automation and platform technologies . 🚀 Participate in the integration and industrialization of Generative AI and LLM-based solutions within a large enterprise environment. 🌍 International environment and collaboration with multidisciplinary teams. 📚 Continuous learning and professional growth opportunities in AI, MLOps and Cloud technologies . 🤝 Collaborative technical environment with AI Product Engineers and platform teams. 🏡 Hybrid working model in Madrid . If you are an AI Integration Engineer, MLOps Engineer, DevOps Engineer or Software Engineer with experience in AI integration, LLMs, RAG, APIs, Cloud, Docker and Kubernetes, and you are looking for a new challenge in an international and innovative environment, we would love to hear from you
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