EU remote
Senior AI Engineer
About this role
We are seeking an experienced Senior AI Engineer to design, develop and deliver AI-enabled solutions for large-scale organisations. The role involves developing proof-of-concept and production AI applications, working across backend services, machine learning infrastructure, large language models, multi-agent systems and modern web technologies. You will collaborate with multidisciplinary teams to deliver AI solutions that meet business and customer requirements.
Key Responsibilities Develop and maintain back-end AI-powered applications and services. Build and integrate LLMs and multi-agent systems using frameworks such as Semantic Kernel, LangChain, or similar technologies. Design and implement front-end interfaces for AI applications using modern frameworks including React, Vue.js and Angular. Integrate front-end components with AI APIs and backend services using REST and GraphQL.
Collaborate with data engineers, UX designers, product managers and QA teams to deliver AI solutions. Apply MLOps practices for model deployment, monitoring and lifecycle management. Develop intuitive, accessible and standards-compliant user interfaces for AI applications. Support team members through mentoring and knowledge sharing. Maintain documentation covering AI models, limitations, assumptions and implementation decisions.
Ensure development activities align with GDPR, EU AI Act requirements and Responsible AI principles. Essential Experience Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence or a related discipline. Experience in AI/ML engineering or applied machine learning. Desirable Experience Experience working with Azure, AWS and GCP environments. Experience delivering solutions across the full AI lifecycle, including problem definition, data preparation, model development, deployment and monitoring.
Experience delivering AI/ML solutions across domains such as natural language processing, predictive analytics, recommendation systems or computer vision. Contributions to open-source projects or research publications. Experience contributing to AI governance, model management and technology selection activities. Experience working within Agile delivery environments and DevOps practices. Proficiency in Python and machine learning libraries.