AI Enigneer (GenAI/RAG)

PROJECT INFORMATION: Industry: bankingRemote work: hybrid - 5 or 6 days/ month on-site from Kraków Project language: English Business trips: n/a Project length: open-end contract (cooperation for a few years at least) Start: ASAP / 1 month notice Assignment type: B2B Introduction & Summary The initiative sits within the Credit and Lending domain and focuses on the rollout of a new platform called DCP. This platform will serve as the central foundation for future AI-driven initiatives, with all upcoming AI use cases expected to be built and deployed through it. The programme aims to modernise the existing architecture, replacing legacy systems with a more scalable, cloud-native environment. A key objective is to automate credit and lending decision-making processes, improving efficiency, accuracy, and speed across the organisation. In parallel, the team is also working on new credit applications and integrating them into the broader ecosystem of services and platforms. Main Responsibilities The programme is heavily centred around cloud and AI-driven development, particularly within GCP and Azure environments. The team is looking for engineers who can contribute to building modern AI-powered systems, including: The successful candidate will hold crucial responsibilities in advancing the platform's capabilities: • Development of Generative AI solutions, including RAG (Retrieval-Augmented Generation) frameworks • Agentic AI development, using frameworks such as Microsoft Agent Framework or Google ADK • Prompt engineering and AI-assisted development practices • API development and system integration • Full-stack development capabilities • Data engineering supporting continuous (“perpetual”) data pipelines and AI workflows • Power Apps development where relevant to business workflows Key Requirements • Strong cloud development experience (GCP and/or Azure) • Experience building AI-enabled applications and working with Generative AI technologies • Knowledge of RAG architectures and agent-based AI frameworks • Strong API development and integration skills • Experience with system architecture design and test case development • Familiarity with AI-assisted coding practices, using AI tools to accelerate development and improve productivity Nice to Have Additional skills that would enhance the candidate profile include: • Expertise in AI development methodologies • Experience in cloud engineering environments • Ability to integrate complex systems effectively Other Details This role is integral to the modernization of credit and lending systems within a rapidly evolving financial landscape. Candidates can expect a collaborative remote setup, contributing significantly to the long-term strategy of AI implementation within the organization.