Cloud Platform Engineering (Junior Level)

Project overview

Service Description

• Conception and development of productive agentic AI solutions on Databricks and Azure
• Development of AI agents and multi-agent workflows, as well as design of the Azure and Databricks architecture
• Implementation of RAG, tool-calling, and workflow architectures, as well as development of reusable components for prompts, tools, agents, and data access
• Integration of Azure OpenAI and other suitable foundation models into the Databricks platform and into existing application and data landscapes
• Development of data and processing pipelines on Databricks, as well as establishment of CI/CD and MLOps processes
• Automation of data- and AI-supported processes with Databricks Workflows and their integration into system landscapes
• Ensuring secure and traceable operation, as well as connection of internal data sources, systems, and APIs

Requirements

Contact Person: Manager Recruiting Ms. Alessa Adrian

FERCHAU Contract GmbH

Branch Cologne CONTRACT

Am Coloneum 6

50829 Cologne

• Several years of experience in AI, ML, Data, or Cloud Engineering, or a comparable focus
• Practical experience in LLM development with RAG, embeddings, vector search, tool calling, or agentic AI
• Profound know-how in Python and SQL, as well as in Git, automated tests, and code reviews
• Routine approach with Azure OpenAI, API integrations, multi-agent systems, and with logging/monitoring solutions
• Practical knowledge in Databricks, e.g., Spark, Delta Lake, Workflows, as well as in CI/CD processes with GitHub Actions/Azure DevOps
• Confident handling of infrastructure automation with Terraform/Bicep, as well as in cloud security and data protection requirements

Project details

• Start: flexible
• Remote: hybrid
• Location: Bochum, Deutschland, DE
• Languages: German