Senior AI/ML Backend Engineer - LLM and RAG Technologies

Unleash the power of cutting-edge AI — shape the future of Credit & Lending solutions! Kraków-based opportunity with hybrid work model. As a Senior AI/ML Backend Engineer, you will be working for our client, a leader in financial technology, specializing in innovative credit and lending use cases. You will contribute to designing and deploying sophisticated AI models leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and cloud platforms, helping redefine the landscape of financial data analysis and decision-making. Join a dynamic environment where your expertise drives impactful innovation and career growth. Your main responsibilities: Design, test, and optimize prompts for LLMs to ensure high-quality outputs for Credit & Lending applications.Develop and implement advanced solutions using RAG, vector databases, and cloud technologies to extract insights from complex financial data.Participate in all phases of solution development, from discovery and prototyping to deployment and maintenance.Apply AI best practices to promote fairness, transparency, and ethical responsibility in all models and applications.Collaborate with cross-functional teams, including engineers, product managers, and business experts, to align technical efforts with strategic objectives.Write, review, and maintain high-quality, scalable, and testable code in Python, Java, and related frameworks.Utilize cloud platforms like Azure and GCP for development, deployment, and scaling of AI solutions.Co-author architecture design documents and oversee production-grade solutions. You're ideal for this role if you have: At least 3 years of experience in AI/ML backend development, especially with NLP and large language models.Strong proficiency in Python (3+ years) and Java, with experience in frameworks such as FastAPI, LangChain, Spring, and in databases like PostgreSQL, Vector Databases, Redis.Practical knowledge of microservices architecture, APIs, observability, concurrency, and containerization (Kubernetes, Docker).Experience deploying models on cloud platforms like Azure or GCP, including CI/CD pipelines and infrastructure automation.Familiarity with TDD, BDD, and best practices in software development.Expertise in prompt engineering, RAG, and agentic AI architectures within financial domain contexts.Solid understanding of machine learning, deep learning, and NLP.Excellent communication and presentation skills in English. It is a strong plus if you have: Hands-on experience working within the Credit & Lending industry.Familiarity with financial data privacy and regulatory considerations. Language Required for the role: Fluent English Level (spoken and written). Eligibility to work in: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.