AI Data Engineer

Who we are

We are seeking a skilled and versatile AI Data Engineer to join our cross-functional, agile AI delivery team. In collaboration with our internal AI and IT teams, you will play a key role in building and scaling a portfolio of Generative AI use cases across Sales, Customer Service, and Supply Chain. This role involves designing, implementing, and operationalizing AI-powered applications, while working closely with business stakeholders and internal developers to deliver impactful solutions. You will also contribute to the continuous improvement of infrastructure, deployment pipelines, and user-facing interfaces.
 

What you'll be doing

• Collaborate with business stakeholders and internal developers to specify, design, and implement Generative AI-powered applications for use cases in Sales, Customer Service, and Supply Chain
• Develop and maintain responsive, user-facing interfaces using React to deliver seamless frontend experience
• Build and optimize cloud infrastructure using Azure, Terraform, and ideally Databricks to ensure scalable, secure, and efficient systems
• Design and implement CI/CD pipelines, leveraging Docker, MLFlow, and data pipelines to support robust MLOps workflows
• Write high-quality, maintainable code in Python, integrating GenAI components and ensuring compatibility with LLM-based applications
• Deploy, monitor, and support GenAI/LLM-based applications using frameworks like Langchain and best practices in LLMOps
• Utilize Git, Jira, and Confluence for version control, project management, and documentation to ensure smooth collaboration
• Contribute to the continuous improvement of infrastructure, deployment pipelines, and user interfaces within an agile delivery framework
• Proactively identify technical challenges and propose solutions, driving innovation and efficiency across the AI portfolio

What you'll bring along 

• University Degree in Engineering, Computer Science, Business or a related field 
• At least 3 years of experience in AI Data Engineering
• Expertise in MLOps and Data Engineering, including building and maintaining CI/CD pipelines, Docker, MLFlow, and data pipelines
• Hands-on experience with Azure, Terraform, and ideally Databricks for cloud and infrastructure management
• Advanced programming skills in Python (mandatory), with experience integrating GenAI components
• Strong experience in deploying and supporting GenAI/LLM-based applications, with proficiency in Langchain and LLMOps
• Familiarity with Git, Jira, and Confluence for collaboration and project management

Preferred Qualifications:

• Strong proficiency in React for frontend development
• Experience with Databricks for advanced data engineering and analytics
• Proven track record in delivering GenAI/LLM-based applications in enterprise settings
• Familiarity with agile methodologies and DevOps practices