About the role

AI Engineer at Eurobank responsible for developing and deploying Generative AI technologies. Joining a cross-functional team focused on high-impact GenAI use cases in the banking sector.

Responsibilities

By joining this role, you’ll be part of a cross functional team, which is responsible for the whole lifecycle of GenAI use cases, from assessment to implementation and operationalization.
You’ll play a pivotal role in advancing the Bank’s Generative AI adoption, contributing to a growing portfolio of high-impactful use cases.
As an AI Engineer you will be designing, developing, testing and deploying the AI solution using the state-of-the-art frameworks, libraries, and platforms, as well as ensuring performance, reliability, and regulatory compliance of GenAI models and systems.
You will be responsible for the technological infrastructure and platform optimization necessary for successful use case implementation, ensuring the tech infrastructure aligns with the use case needs.
Your key responsibilities will be: Analysis of the different use cases and design of the solution to support the implementation.
Set up of the different elements within the AI application (data pipeline, user interface, etc) and the relevant activities.
Build robust AI systems with an eye on the long-term maintenance, scalability, security and performance.
Lead model, application and data monitoring and maintenance.
Design and deliver the integration of AI technologies into the existing IT infrastructure and data landscape of the Bank.

Have 2+ years of hands-on experience applying AI to deliver business-impactful solutions, with a focus on Generative AI technologies.
Have proven expertise in deploying production-grade GenAI use cases, including: LLM frameworks, Retrieval-Augmented Generation (RAG) architectures, Agentic workflows and protocols (e.g., MCP, A2A), AI chatbot development and orchestration.
Hold a Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Are proficient in cloud-native AI development, with experience in optimizing GenAI workloads on platforms such as Azure (preferable), AWS, or GCP.
Have a solid foundation in software engineering practices, including CI/CD, containerization, and scalable microservices.
Are fluent in Python, with practical experience in building and fine-tuning GenAI pipelines.
Demonstrate strong collaboration and leadership skills, with a proactive mindset and the ability to thrive in agile, cross-functional teams.
Are fluent in English language

Competitive remuneration
Hybrid work: work-life balance through remote and in-office work
Learning & Development: Access Unlimited LinkedIn Learnings, international training methodologies
Upskilling, Professional development and career guidance from successful executives
Identification and Utilization of Talent Pool through a structured Talent Management process
Wellbeing: Premium Health & Life insurance for you, your partner and/or your family and mental health support
Pension plan to support your plans and future financial expectations
Team building & wellbeing activities
Potential Extra days of annual leave (Winter Bonus)
Engage in volunteering activities through our TeamUp program
Exclusive discounts at partner stores
Staff pricing for banking products
Nursery and summer camp allowance for your little ones