You will join a team of engineers developing cutting‑edge AI and Machine Learning solutions within the Credit & Lending domain in an international banking environment. The project focuses on leveraging state‑of‑the‑art AI technologies to build scalable systems that support business processes, data‑driven decision‑making, and operational efficiency. You will work across the full lifecycle of AI/ML development—from discovery and prototyping, through model and system design, to production deployment and maintenance—using LLMs, RAG, modern data platforms, containerized environments, and cloud‑native solutions in Azure or GCP.
LLM engineering and RAG development
Designing, testing, and optimizing prompts for LLM‑based applications
Developing and integrating RAG systems and vector search solutions
Implementing responsible AI/ML solutions with fairness, transparency, and accountability
Designing and building scalable architectures leveraging LLMs and ML
Deploying AI systems using Azure or GCP with containerization and Kubernetes
Building applications following engineering best practices and clean code principles
Conducting data exploration, preparation, and modeling
Collaborating with domain experts on data pipelines and domain‑specific datasets
Applying deep learning and NLP techniques to business problems
Working closely with engineering, product, and business stakeholders
Presenting technical solutions, constraints, risks, and recommendations
Participating in the full AI product lifecycle from idea to production
Python (3+ years); Java is a plus
Experience with LangChain, FastAPI, Data containers, Spring
Knowledge of microservices architecture, observability, monitoring, API design, concurrency models
Hands‑on experience with Azure or GCP, containers, Kubernetes, CI/CD (Jenkins, Azure DevOps, GCP Cloud Build)
Practical experience with TDD/BDD
Strong understanding of LLM architectures and domain‑specific data modeling
Experience with RAG, prompt engineering, agentic architectures, deep learning, NLP, ML lifecycle
Ability to design, develop, and scale AI‑driven systems
Strong software engineering fundamentals and problem‑solving skills
Ability to experiment quickly and iterate toward production‑quality solutions
Strong communication and presentation skills in English
Ability to explain technical solutions and business implications clearly
Comfort working with cross‑functional and multicultural teams
We offer
Hybrid work in one of our locations: Lodz, Poznan, Krakow, Warszawa, Wroclaw (2 office days per week)
Working in a highly experienced and dedicated team
Benefit package tailored to your needs (medical, sport, lunch subsidy, life insurance, etc.)
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