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GDB/X - Senior Agentic AI Engineer (M/F/D)

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Job Description - GDB/X - Senior Agentic AI Engineer (M/F/D)


Senior Agentic AI Engineer 
OrgCode: GDB/X 
Product Team: Intelligent Automation 
Responsibilities: - Engineer Core Components: Lead the development of the orchestration service and 
Agent-to-Agent (A2A) bus, writing high-performance Python code that routes thousands of 
requests per minute. - Build Complex Agents: Implement "Horizon 3/4" autonomous agents 
(e.g., self-correcting coding agents, complex supply chain optimizers) using LangGraph or 
AutoGen hosted on AKS. - Integrate Data & AI: Build robust integrations between 
Databricks (Unity Catalog) and our agent runtime, ensuring agents have access to real
time, governed business data. - Optimize Performance: Tackle the hard problems of 
agentic AI—latency reduction, token cost optimization, and managing distributed state 
across long-running workflows. - Mentor & Review: Conduct code reviews for junior 
engineers and divisional teams, ensuring that all agent code adheres to our Zero-Trust 
security practices and software engineering standards. - Develop Tools (MCP): Build and 
maintain a library of Model Context Protocol (MCP) compliant tools that allow agents to 
interact with SAP, ServiceNow, and other enterprise APIs. 
Qualifications: - Engineering Mastery: You are a software engineer first. You write clean, testable, 
production-grade Python (FastAPI, Pydantic) and are comfortable with async/await patterns 
and concurrency. - Container Native: You don't just run Docker locally; you have 
experience deploying and debugging complex applications on Kubernetes (AKS). - Agentic 
Frameworks: Deep, hands-on experience with LangChain, LangGraph, or Semantic Kernel. 
You know how to debug a "looping" agent and how to manage conversation memory 
effectively. - Azure & Databricks: Practical experience with Azure AI Foundry for model 
serving and Databricks for data engineering. - Problem Solver: You enjoy debugging non
deterministic systems and finding creative ways to make LLMs reliable (e.g., retry logic, 
output parsing, verification steps). 
What we offer:  
Be part of a global leader in digital transformation, working in a vibrant Digital Hub that 
values innovation, agility, and cross-functional collaboration. Shape the future of BASF’s 
digital landscape, contributing to projects that drive sustainability and make a real impact. 
Thrive in a high-performance culture that supports your personal and professional growth, 
offering diverse learning opportunities and career development. Enjoy a modern, inclusive 
work environment where your ideas are valued, and your curiosity and ambition are 
encouraged. Benefit from flexible working models, international networking, and a strong 
sense of purpose as we enable our customers’ green transformation and lead the way in 
digital excellence.  [to include specific local benefits].


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Jobs At Basf

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