The role involves designing and deploying intelligent agentic systems that integrate large language models with enterprise data and workflows
Job Summary
The role involves designing and deploying intelligent agentic systems that integrate large language models with enterprise data and workflows.
Candidates will build Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search and vector databases to deliver contextual insights.
The team focuses on AI enablement across the company, supporting teams in adopting platforms like Microsoft Copilot and Anthropic Claude.
Matching Summary
The role involves designing and deploying intelligent agentic systems that integrate large language models with enterprise data and workflows.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
Python proficiency
LLM orchestration frameworks
RAG application development
Microsoft Copilot experience
Vector database knowledge
CI/CD pipeline implementation
Nice-to-have
C# or TypeScript skills
Agentic system design
Cross-functional collaboration
Mentoring teammates
Prompt engineering expertise
Key Requirements
8-10+ years software engineering experience
1-2+ years AI-powered systems experience
Bachelor's or Master's degree in CS or related field