As an AI Data Developer you will be working for our client, a global financial institution currently investing in advanced AI-driven solutions to modernize its internal data ecosystems. You will play a key role in a pioneering project that focuses on creating agents to collect and synchronize data from multiple systems, powering Retrieval-Augmented Generation (RAG) pipelines for GenAI models. This is a technically challenging role that involves building scalable data pipelines, designing microservices, and leading a collaborative team of developers within a high-impact cloud-based infrastructure.
Join us, and build the future of AI-powered data systems!
Kraków – based opportunity with hybrid work model (2 days/week in the office).
responsibilities :
Designing and implementing scalable data pipelines to support GenAI systems
Creating and managing microservices that integrate into a broader AI solution architecture
Leading a team of developers and AI specialists across various project phases
Developing and maintaining RESTful APIs using FastAPI
Managing data sourcing processes for RAG using Python and time-series/analytics databases
Overseeing deployment workflows using tools like Ansible and Jenkins
Ensuring system reliability and maintainability within a Unix/Linux environment
Coordinating with stakeholders to ensure requirements are captured and implemented
Writing shell scripts for task automation and process monitoring
Documenting technical specifications and system architecture
requirements-expected :
Proven experience developing in Python within Unix/Linux environments
Hands-on experience with time-series or analytics databases such as Elasticsearch
Proficiency in building RESTful APIs using FastAPI
Experience with Azure Cloud infrastructure and services
Background in building microservices architectures
Strong knowledge of data pipelines for RAG or similar GenAI applications
Familiarity with Git/GitHub and automated deployment tools (Ansible, Jenkins)
Basic shell-scripting and process automation skills
Solid understanding of software development lifecycle (SDLC) practices
Ability to work independently with a proactive, team-oriented mindset
offered :
Stable and long-term cooperation with very good conditions
Enhance your skills and develop your expertise in the financial industry
Work on the most strategic projects available in the market
Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years
Participate in Social Events, training, and work in an international environment
