About the job
Key Responsibilities:
- Enhance RAG Implementation: Optimize and implement advanced Agentic RAG and standard RAG pipelines, focusing on superior Prompt Context Engineering to deliver precise, relevant, and high-quality information to AI agents.
- Design and Build Agentic Systems: Develop and deploy autonomous multi-agent systems using frameworks such as Crew AI to address complex business challenges.
- Facilitate Agent-to-Agent A2A Communication: Implement and improve A2A protocols for collaborative task execution across multiple AI agents.
- Create MCP Connectors: Develop, test, and maintain connectors to enable seamless interaction between our AI agents and critical data sources, including:
- Microsoft Spreadsheets
- Databricks Lakehouse
- Postgres databases
- Develop Robust Backend APIs: Create scalable REST APIs that serve as the backbone for our AI bots and applications, ensuring reliable communication and integration.
- Manage Cloud Deployment: Oversee deployment management and monitoring of AI applications within the Open Telekom Cloud (OTC) environment.
- Utilize AI-Powered Development Tools: Incorporate modern AI coding assistants such as GitHub Copilot in your daily workflow to write, debug, and optimize code efficiently.

