As a Python Engineer, you will be working for our client, a global leader in financial services, dedicated to harnessing the power of data and AI to drive innovation. You will be part of the Office of Applied AI, contributing to the development of Generative AI solutions by integrating diverse data sources and building robust data pipelines. Your work will help unlock new insights, enhance decision-making processes, and push the boundaries of what’s possible in ethical AI practices.
Join us, and engineer the future of AI-driven insights!
Krakow-based opportunity with the possibility to work 60% remotely (remote 3 days per week).
responsibilities :
Creating agents to source data from various systems for Generative AI models
Developing data transfer pipelines to support AI-driven insights
Building and synchronizing microservices within the broader Generative AI solutions
Implementing and maintaining RESTful APIs using Python FastAPI
Designing and optimizing data models for Retrieval-Augmented Generation (RAG) purposes
Integrating time-series and analytics databases such as Elasticsearch
Managing code through industry-standard version control tools like Git and GitHub
Utilizing automated deployment tools, including Ansible and Jenkins
Ensuring compatibility and functionality within Azure Cloud environments
Collaborating with the team to quickly adapt to changing requirements
requirements-expected :
Strong experience in Python and Unix/Linux environments
Proficiency with time-series/analytics databases like Elasticsearch
Hands-on experience with Azure Cloud services
Expertise in RESTful API development using Python FastAPI
Experience working with Generative AI APIs
Proven ability to build and manage data models and pipelines for RAG
Knowledge of microservices architecture and development
Familiarity with version control tools (Git, GitHub) and automated deployment (Ansible, Jenkins)
Basic shell scripting skills
Understanding of big data modeling techniques, both relational and non-relational
benefits :
sharing the costs of sports activities
private medical care
remote work opportunities
flexible working time
fruits
integration events
corporate gym
mobile phone available for private use
computer available for private use
saving & investment scheme
no dress code
coffee / tea
drinks
christmas gifts
birthday celebration
sharing the costs of a streaming platform subscription
