Software Engineer (AI/ML)

O projekcie: At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.  We’re a dedicated team of engineers tackling real-world financial challenges through cutting-edge AI. Our mission is to design, build, and deploy advanced Machine Learning and AI solutions that bring real impact to clients and businesses.   Sounds like your kind of challenge?  What you get in return - Flexible cooperation model – choose the form that suits you best (B2B, employment contract, etc.). - Hybrid work setup – (2/week / Kraków). - Collaborative team culture – work alongside experienced professionals eager to share knowledge. - Continuous development – access to training platforms and growth opportunities. - Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more. - High quality equipment – laptop and essential software provided. Wymagania: - Programming Languages: Python (3+ years), Java (regular). - Frameworks: FastAPI, LangChain, Data containers, Spring. - Databases: SQL (PostgreSQL), Vector Databases, Redis.Strong knowledge of microservices architecture, API design, and observability.Familiarity with Azure / GCP, Kubernetes, containers, CI/CD (Jenkins, Azure DevOps, GCP Cloud Build). - Practical experience with TDD, BDD methodologies. - Solid understanding of LLM architectures and their domain-specific adaptations. - Experience with RAG, Prompt Engineering, and agent-based architectures. - Proficiency in ML/DL and NLP applied to real-world scenarios. - Strong communication and presentation skills in English. Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference. Codzienne zadania: - Design, test, and optimize prompts for Large Language Models (LLMs) for reliable and high-quality outputs. - Implement solutions using Retrieval-Augmented Generation (RAG) and vector databases to derive insights from complex financial data. - Participate in the full solution lifecycle – from discovery and prototyping to development and production deployment. - Ensure transparency, fairness, and accountability in all AI models and applications. - Collaborate with engineers, product managers, and business experts to align technical efforts with strategic goals. - Write and maintain high-quality, testable, reusable code.Work with cloud platforms (Azure, GCP) for development and deployment. - Contribute to architecture design, ensuring stability and scalability of AI models in production.