Senior Python Consultant with AI/ML skills

You will work as part of a dedicated engineering team delivering flagship AI and ML solutions for the Credit and Lending domain, leading the design and development of scalable, production-ready systems based on modern LLM and RAG approaches while closely collaborating with business stakeholders to translate complex financial requirements into high-impact technical solutions.

• 4+ years of hands-on experience working with Python and its AI and ML ecosystem
• Proven experience in a senior engineering role with ownership of technical initiatives
• Strong knowledge of LLM architectures and experience fine-tuning models
• Hands-on experience with Retrieval-Augmented Generation and prompt engineering
• Experience designing agentic architectures and AI-driven systems
• Strong understanding of machine learning, deep learning, and NLP concepts
• Experience with microservices architecture, API design, and concurrency models
• Practical knowledge of relational databases such as PostgreSQL
• Experience working with vector databases, Redis or similar KV stores, and Pub/Sub systems
• Experience with Azure or GCP, containers, Kubernetes, and CI/CD tools
• Strong commitment to engineering best practices including TDD and BDD
• Excellent communication skills in English
• Openness to work hybrid from our client's office (Kraków) 8 days per month

Nice to have:

• Experience with Java for integration or middleware tasks
• Experience in financial services or credit and lending domain
• Experience building observability solutions for distributed systems

• Write and maintain high-quality, testable, and reusable code
• Lead the design of scalable and robust AI and ML solutions aligned with platform strategy
• Own end-to-end engineering delivery from design through deployment
• Mentor engineers and support their technical growth
• Define and promote coding standards and AI best practices
• Evaluate and prototype new technologies including RAG techniques and LLM optimization
• Collaborate with stakeholders to translate business needs into technical solutions
• Design and implement solutions using RAG and vector databases for financial data