The AI Engineer is a hands-on, early-career role responsible for designing, developing, and deploying AI solutions, including Machine Learning, Deep Learning, and Generative AI applications, that address real business challenges and deliver measurable value. Working within the Data & Digital Innovation team, the AI Engineer builds and optimizes AI applications using LLMs, RAG architectures, agents, and predictive models, and engineers the surrounding software (micro-services, APIs, and data integrations) required to bring them into production. The role combines solid software engineering fundamentals with applied AI expertise, collaborating closely with senior engineers, architects, and business stakeholders to turn prototypes into robust, scalable, enterprise-grade solutions, while continuously evaluating and adopting emerging AI technologies and best practices.

Key Accountabilities
• Design, develop, and deploy AI solutions, including Machine Learning, Deep Learning, and Generative AI applications.
• Build and optimize AI applications using LLMs, RAG architectures, agents,



and predictive models.
• Design and deploy applications with a micro-services architecture that integrate with enterprise systems, APIs, and databases.
• Write high-quality, scalable, and maintainable code, contributing across all phases of the software development lifecycle.
• Transition proofs of concept and prototypes into production-ready solutions, with a focus on performance, reliability, and security.
• Evaluate and adopt new AI technologies, frameworks, and best practices, incorporating them into solution design where appropriate.
• Apply modern engineering and DevOps practices (version control, CI/CD, and containerization) to ensure robust, repeatable deployments.
• Collaborate with senior engineers, architects, and business stakeholders to align solutions with requirements and enterprise architecture standards.

Networking/Key relationships
• Works closely with AI/ML leads and senior

📌 AI Engineer (España)
🏢 Werfen
📍 España