AI Data Engineer

<span class="jobdescription"><p><strong>Who we are</strong></p>
<p><br>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.<br><strong>&nbsp;</strong></p>
<p><strong>What you'll be doing</strong></p>
<p>&nbsp;</p>
<ul>
<li>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</li>
<li>Develop and maintain responsive, user-facing interfaces using React to deliver seamless frontend experience</li>
<li>Build and optimize cloud infrastructure using Azure, Terraform, and ideally Databricks to ensure scalable, secure, and efficient systems</li>
<li>Design and implement CI/CD pipelines, leveraging Docker, MLFlow, and data pipelines to support robust MLOps workflows</li>
<li>Write high-quality, maintainable code in Python, integrating GenAI components and ensuring compatibility with LLM-based applications</li>
<li>Deploy, monitor, and support GenAI/LLM-based applications using frameworks like Langchain and best practices in LLMOps</li>
<li>Utilize Git, Jira, and Confluence for version control, project management, and documentation to ensure smooth collaboration</li>
<li>Contribute to the continuous improvement of infrastructure, deployment pipelines, and user interfaces within an agile delivery framework</li>
<li>Proactively identify technical challenges and propose solutions, driving innovation and efficiency across the AI portfolio</li>
</ul>
<p>&nbsp;</p>
<p><strong>What you'll bring along&nbsp;</strong></p>
<ul>
<li>University Degree in Engineering, Computer Science, Business or a related field&nbsp;</li>
<li>At least 3 years of experience in AI Data Engineering</li>
<li>Expertise in MLOps and Data Engineering, including building and maintaining CI/CD pipelines, Docker, MLFlow, and data pipelines</li>
<li>Hands-on experience with Azure, Terraform, and ideally Databricks for cloud and infrastructure management</li>
<li>Advanced programming skills in Python (mandatory), with experience integrating GenAI components</li>
<li>Strong experience in deploying and supporting GenAI/LLM-based applications, with proficiency in Langchain and LLMOps</li>
<li>Familiarity with Git, Jira, and Confluence for collaboration and project management</li>
</ul>
<p>Preferred Qualifications:</p>
<ul>
<li>Strong proficiency in React for frontend development</li>
<li>Experience with Databricks for advanced data engineering and analytics</li>
<li>Proven track record in delivering GenAI/LLM-based applications in enterprise settings</li>
<li>Familiarity with agile methodologies and DevOps practices</li>
</ul>
</span>