PROJECT INFORMATION:

Industry: banking

Remote 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.

AI Enigneer (GenAI/RAG)

emagine Polska