Senior AI Engineer

Join our high-impact AI team within BNP Paribas’s **Corporate & Institutional Banking (CIB)**division, where we develop and scale a cutting-edge software platform powering AI Transformation - from origination to monitoring used by thousands of employees across 50+ countries .

You’ll design, build, and deploy AI-powered solutions to revolutionize how we extract insights from unstructured data, automate decision-making, and enhance operational efficiency. Your work will directly impact Securities Services Business and Operations - driving innovation at the heart of global banking.

We work in Agile/Scrum , fostering a culture of continuous innovation and collaboration. As part of an international team organized into cross-functional feature squads, you’ll have access to:

• Mentorship & knowledge-sharing from top-tier local and global experts.
• Career growth through hands-on work on AI-driven solutions with real-world impact.
• Scaling opportunities as we expand our AI team significantly in 2026.

Senior AI Engineer

Requirements:

• Hands-on experience with GenerativeAI, knowledge of OpenAI API and agentic frameworks.
• Professional experience in software development with Natural Language Processing - hands on experience with data cleaning, normalization and transformation.
• Proficiency in Python programming.
• Production-oriented mindset - knowledge of Docker(Kubernetes is a plus),MLOps, basic knowledge of CI/CD pipelines, unit testing.
• Strong curiosity and willingness to learn.
• Team player attitude.
• Proficient English(mandatory for documentation and team communication).
• Nice to have: Knowledge of NLP libraries and Machine Learning / Deep Learning frameworks (PyTorch/ scikit / etc.). Experience with model assessment.

Responsibilities:

• Build and deploy agentic AI solutions - create autonomous assistants that can act on behalf of clients and internal users, streamlining processes and improving decision making.
• Extract critical data from documents **-**design and implement cutting edge information extraction pipelines that turn unstructured PDFs, contracts, statements and other banking documents into structured, searchable data.
• Work daily with large language models (LLMs) fine tune, prompt, and integrate LLMs into production workflows to deliver real time insights.
• Apply state of the art Natural Language Processing (NLP) - leverage advanced NLP techniques for text classification, language generation and entity recognition, boosting data quality and operational efficiency across the bank.

What we offer:

• Hybrid work mode.
• Equivalent for remote work expenses (120 PLN per month).
• Fully paid private medical care for employee.
• Pre-paid lunch card.
• Employee Pension Plan.
• Multisport Card.
• MyBenefit Cafeteria Platform.
• Life insurance.
• Car parking availability in the office building.
• Trainings and development opportunities.