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.
