Senior Python Engineer with AI/ML skills @ GFT Poland

• 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

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

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.

We offer

• Hybrid from our client's office (Kraków) 8 office days per month
• Working in a highly experienced and dedicated team
• Benefit package tailored to your needs (medical, sport, lunch subsidy, life insurance, etc.)
• Online training and certifications
• Access to e-learning platform
• Social events

,[] Requirements: Python, ML, AI, LLM, Machine learning, PostgreSQL, Microservices, Cloud, Azure, GCP, Kubernetes, CI/CD, TDD, BDD, Java Additionally: Home office, Knowledge sharing, Life insurance, Sport subscription, Training budget, Private healthcare, International projects, Integration events, Free coffee, Playroom, Free snacks, Free beverages, In-house trainings, In-house hack days, Modern office, Free fruits.