Software Engineer (AI/ML) - Hybrid | Kraków | B2B

For our client, a globally recognized organization, we are looking for a Software Engineer (AI/ML) to join an innovative team working on cutting-edge AI and machine learning solutions in the Credit & Lending domain.

About the role

You will be part of a dedicated team of six engineers working on flagship AI and ML projects that are transforming the Credit & Lending landscape. The team operates in a fast-moving, innovative, yet stable environment, collaborating closely with business stakeholders to deliver high-impact solutions.

What you’ll do

• Design, test, and optimize prompts for Large Language Models (LLMs) to achieve high-quality, reliable outputs for Credit & Lending use cases.
• Develop and implement sophisticated solutions using Retrieval-Augmented Generation (RAG) and vector databases to unlock insights from complex financial data.
• Participate in the full lifecycle of solutions, from problem discovery and prototyping to design, implementation, and production deployment.
• Apply AI best practices to ensure fairness, transparency, and accountability in models and applications.
• Collaborate with a cross-functional team of engineers, product managers, and business experts to align technical efforts with strategic goals.
• Write and maintain high-quality, testable, and reusable code.
• Utilize cloud platforms (Azure, GCP) for the development, deployment, and scaling of AI models.
• Co-author solution designs and architecture and maintain products in production.

What you need to have to succeed in this role

• Languages: Python (3+ years), Java (regular).
• Frameworks: FastAPI, LangChain, data containers, Spring.
• Databases: SQL databases (PostgreSQL), vector databases, KV stores (Redis).
• Knowledge of microservices architecture, observability, API design, and concurrency models.
• Knowledge of Azure/GCP, containers, Kubernetes, and CI/CD (Jenkins, Azure DevOps, GCP Cloud Build).
• Practical experience in TDD and BDD.
• Understanding of LLM architectures and their use with domain-specific data.
• Experience with RAG (Retrieval-Augmented Generation), prompt-engineering concepts, and agentic architecture.
• Knowledge of machine learning, deep learning, and NLP.
• Experience prioritizing and managing technology work for NLP, ML, and AI solutions; experience experimenting and developing with LLMs.
• Strong English communication and presentation skills, including the ability to present technical solutions, capabilities, considerations, and features to business stakeholders.

Benefits

• Opportunity to grow within a global organization.
• Private healthcare.
• Access to the MyBenefit cafeteria system.
• Work on impactful, innovative AI projects in finance.