? At AKKODIS, a integral leader in engineering and digital services, we are looking for talent like you! ?

We are an international company specialized in technology, engineering and innovation, driving the digital transformation of leading organizations.

We are currently looking for an AI Integration Engineer / MLOps Engineer to join an international project with one of Switzerland's leading Wealth Management groups .

? 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!

📌 AI Integration Engineer (Madrid)
🏢 Akkodis
📍 Madrid