GenAI Engineer in Banking/Financial industry

Your role

Within the Financial Services domain, you will help address business challenges by applying AI solutions to real-world financial use cases. The role combines Generative and Agentic AI with a strong understanding of financial processes to support automation and decision-making, delivered in close collaboration with business stakeholders, finance experts and technical teams.

Your tasks

You will contribute to AI initiatives and support the delivery of modern AI solutions across the financial industry. Your responsibilities will include:

• Designing and implementing AI solutions, including Generative AI, LLM-based workflows and Agentic AI components, supporting automated and assisted decision-making in financial processes.
• Executing end-to-end testing of AI solutions and AI agent workflows, ensuring accuracy, reliability and alignment with business and regulatory expectations.
• Collaborating with SMEs and technical teams to design, implement and optimize data pipelines for AI model training, inference and agent execution.
• Evaluating model and agent performance, identifying opportunities for continuous improvement with a focus on accuracy, compliance, explainability and iterative enhancement.
• Identifying reusable GenAI and Agentic AI components and patterns that can be leveraged across ongoing and future projects.

Your profile

• Practical banking/financial industry experience with Generative AI and/or Agentic AI, including LLM-based workflows, prompt engineering and orchestration of multi-step AI or agent workflows.
• Very good Python and SQL skills, with hands-on experience in cloud-based data platforms and databases, supporting end-to-end LLM-based solutions.
• Good understanding of cloud platforms such as AWS, Azure or GCP.
• Strong communication skills and the ability to explain technical and AI-related concepts to non-technical stakeholders.
• Degree in Finance, Mathematics, Data Science or a related quantitative or technical field.

Nice to have

• Hands-on exposure to infrastructure and automation tools such as Terraform, GitHub CI/CD, Kubernetes or similar platforms.
• Familiarity with financial workflows such as risk modeling, valuation, forecasting, regulatory reporting or fraud detection.
• Basic knowledge of architecture design principles across IT and AI systems.

What you'll love about working here

• Well-being culture: medical care with Medicover, private life insurance and a sports card. Therapeutic support is available through a helpline, along with an educational wellbeing podcast.
• Access to over 70 training tracks with certification opportunities, including GenAI, Excel, Business Analysis and Project Management. Free access to Education First, Pluralsight, TED Talks, Coursera and Udemy Business materials and training.
• Continuous feedback and ongoing performance discussions through a performance management tool and transparent performance-management policy.
• Hybrid working model following onboarding, combining a modern office with an ergonomic work-from-home package including a laptop, monitor and chair.