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

LOCATION

COMPANY

COMPANY

JOB FIELD

JOB FIELD


JOB TYPE


JOB TYPE

JOB ID


JOB ID


FLEXIBLE WORK OPTIONS


FLEXIBLE WORK OPTIONS

LOCATION

LOCATION


COMPANY

COMPANY


JOB FIELD

JOB FIELD


JOB TYPE

JOB TYPE


JOB ID

JOB ID


FLEXIBLE WORK OPTIONS

FLEXIBLE WORK OPTIONS

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].

A unique total offer: you@BASF


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Hyderabad, IND
BASF Digital Solutions Private Limited
Digitalization
Permanent
138917
IT and Digitalization
India
Hybrid