Fullstack Senior Data Scientist (Remote in Poland)

We are looking for a Lead Fullstack Senior Data Scientist to lead Generative AI initiatives and design scalable, production-ready AI solutions. This role combines hands-on LLM engineering with architectural thinking, mentoring, and collaboration across engineering teams. You will work on building and optimizing AI-powered systems using modern LLM frameworks, Retrieval-Augmented Generation (RAG), and cloud-native infrastructure. The position is fully remote within Poland and suited for a senior professional comfortable operating across experimentation, production deployment, and system scaling. Details Location: Remote (Poland-based) Employment Type: Full-time Seniority Level: Senior Industry: AI / Data / Software Engineering Role Overview Lead Generative AI and LLM-driven projects Design and optimize AI architectures for scalable production systems Develop and deploy production-grade Python AI solutions Implement Retrieval-Augmented Generation (RAG) pipelines Mentor engineers and data scientists Collaborate with engineering teams on cloud-native architectures Ensure AI solutions are reliable, scalable, and maintainable Required Skills Python Generative AI LangChain Azure CI/CD Experience with LLM frameworks and RAG architectures Requirements 6+ years of experience in Data Science / AI Engineering 4+ years of production-ready Python AI development 2+ years of production-level LLM implementation Strong experience building scalable AI systems Strong analytical and problem-solving skills Excellent communication skills in English Nice to Have Experience deploying AI solutions in enterprise cloud environments Experience designing CI/CD pipelines for ML/AI workflows Experience mentoring teams or leading AI initiatives Benefits Stable employment Flexible work model (remote or office optional) Flexible working hours and contract type Comprehensive onboarding with assigned Buddy Access to Udemy and 110+ yearly training opportunities Certificate and upskilling programs Internal promotions (76% managerial roles filled internally) Referral bonuses Health and well-being initiatives Workation policy Modern office equipment Inclusive and diversity-driven workplace