Strong Python software engineering skills., Ability to design scalable, resilient, and secure systems; skills in API design, event-driven architectures, microservices, serverless, and containerization; familiar with enterprise integration patterns., Practical knowledge of ML libraries: scikit-learn, PyTorch, TensorFlow, Hugging Face., Hands-on experience with NLP and computer vision., Expertise in prompt engineering and orchestration tools (LangChain, LangGraph, Semantic Kernel, Crew AI) and building RAG-based systems., Proficiency in using vector databases (Pinecone, PGVector, Weaviate, FAISS, Milvus) in Gen AI solutions., Familiarity with ETL, data pipelines, modeling, and working with SQL/NoSQL databases., Exposure to AWS/Azure/GCP., Familiarity with CI/CD pipelines and automation tools (GitHub, Azure DevOps, Docker, Kubernetes)., Ability to create, test, and maintain backend components in .NET, Java, or Node.js.

sharing the costs of professional training & courses, flexible working time, integration events, video games at work, parking space for employees, leisure zone