AI Engineer

We are looking for an Artificial Intelligence Engineer to join our long-term banking projects and contribute to the development and production deployment of advanced AI-driven solutions. Qualifications Bachelor’s or Master’s degree in Computer Engineering, Computer Science, Software Engineering or a related field Minimum 3 years of hands-on professional experience in AI Engineering, Machine Learning Engineering or a related role Hands-on experience with Machine Learning, Deep Learning and LLM-based applications Experience with Generative AI, LLM and RAG architectures Experience with MCP and integrating LLM applications with external tools, APIs or enterprise data sources Strong understanding of MLOps practices, including model development, versioning, deployment, monitoring and lifecycle management Experience in model serving, scoring, deployment and performance monitoring Proficiency in Python; Java experience is considered a plus Experience with big data technologies; knowledge of the Apache ecosystem, particularly Apache Spark is a plus Responsibilities Design, develop and deploy ML / DL / LLM-based solutions integrated into banking and enterprise processes Develop production-ready Generative AI and RAG-based applications Build and integrate MCP-based AI solutions, enabling LLMs to securely interact with enterprise systems, tools, APIs and data sources Contribute to the design of scalable AI, big data, and analytical architectures Manage the end-to-end lifecycle of AI/ML models, from development and evaluation to deployment and monitoring Design, automate, and continuously improve MLOps and LLMOps processes Monitor model and AI service performance, reliability, and scalability in production environments Collaborate with data, software, infrastructure, and business teams to transform business requirements into scalable AI solutions