AI Data Engineer

• Do you enjoy turning complex data into reliable solutions that support advanced technologies?  
• Do you want to shape SoftwareOne with AI and be part of a team bringing people along the GenAI journey?  
• Are you motivated by working in a collaborative AI team driven by curiosity, transparency, and a shared goal to deliver impactful, data-driven solutions?  

Practical Information   

Location:  Poland | Reports to:  AI Data Science Lead | Work Arrangement:  Remote/ Hybrid | Contract type:  Full-time | Visa Requirements:  Valid Visa for Poland | Language Requirements:  Fluent/professional English, written and verbal  

At SoftwareOne we are at the forefront of technological innovation, dedicated to leveraging the power of artificial intelligence to create revolutionary products and solutions. Our AI Team is a dynamic group of talented professionals who are passionate about pushing the boundaries of what is possible with AI and machine learning for our internal employees. 

 
As an  AI Data Engineer in our AI Team, you will play a critical role in shaping the foundation of our AI models and algorithms. You will be responsible for designing, building, and maintaining reliable data pipelines that ensure the availability, integrity, and quality of data required for our AI projects. Your work will directly influence the success of our AI initiatives, contributing to the development of innovative solutions that solve complex problems. 

Key responsibilities  

• Design and build proposals for new AI solutions, shaping data architectures and consumption patterns that enable LLMs and AI tools to operate on enterprise data 
• Design, build and maintain scalable data pipelines on Databricks and Azure that prepare and deliver data for consumption by AI tools, LLMs or ML models 
• Develop AI solutions hands-on - from feature engineering and datasets to embeddings, vector storage, and retrieval pipelines that power LLM-based applications 
• Collaborate with the AI team, Business Development and business stakeholders to identify, onboard and integrate the data sources needed to power AI and LLM initiatives 
  and deliver AI projects from concept to production-grade workflows