Senior Software Engineer AI

We are looking for AI / ML Engineers (Mid or Senior) to join a small, highly skilled engineering team building cutting-edge AI solutions for complex financial data and decision systems. The team operates in a fast-moving but stable environment, collaborating closely with product and business stakeholders to deliver high-impact solutions. The role is based in Kraków with a hybrid work model (2 days per week from the office).

• Strong Python development experience (ML / AI ecosystem)
• Familiarity with Java (used in parts of the platform)
• Experience building services with frameworks such as FastAPI, LangChain or similar
• Knowledge of SQL databases (PostgreSQL) and vector databases
• Experience with microservices architecture, API design, observability and concurrency
• Hands-on experience with cloud platforms (Azure or GCP), containers, Kubernetes and CI/CD
• Understanding of LLM architectures and working with domain-specific data
• Experience with RAG, prompt engineering, or agent-based AI architectures
• Knowledge of machine learning, NLP and deep learning concepts
• Experience with TDD / BDD practices
• Strong communication skills in English and ability to explain technical concepts to non-technical stakeholders

Senior candidates should additionally bring experience with:

• Leading technical projects and making architectural decisions
• Mentoring engineers and shaping engineering practices
• Driving experimentation and innovation within AI systems

• Designing, testing, and optimizing prompts for Large Language Models (LLMs)
• Building intelligent systems using Retrieval-Augmented Generation (RAG) and vector databases
• Developing scalable services and APIs powering AI-driven applications
• Working across the full lifecycle of AI solutions – from discovery and prototyping to production deployment
• Collaborating with engineers, product teams, and business stakeholders to translate complex problems into technical solutions
• Writing clean, testable, and maintainable code
• Deploying and scaling AI workloads using cloud platforms (Azure or GCP) and containerized environments
• Applying AI best practices to ensure fairness, transparency, and reliability in ML systems

Senior engineers will additionally:

• Lead architecture and design decisions
• Drive technical direction of AI initiatives
• Mentor other engineers and contribute to engineering standards
• Evaluate and prototype new technologies across the AI stack