Description

Key Responsibilities:

AI & LLM Development
Design and implement the Generative AI applications using Azure OpenAI and Large Language Models.
Develop Agentic AI workflows capable of reasoning, planning, and tool execution.
Implement prompt engineering, function calling, structured outputs, and AI orchestration patterns.
Build multi-agent solutions using frameworks such as LangGraph, LangChain, Semantic Kernel, or LlamaIndex.

RAG & Vector Search
Design and implement Retrieval-Augmented Generation (RAG) architectures.
Develop document ingestion, chunking, embedding, and indexing pipelines.
Implement semantic search, hybrid search, vector search, and re-ranking solutions.
Optimize retrieval quality and reduce hallucinations through grounding and citation strategies.
Azure AI Platform

Develop solutions using:
Azure AI Foundry
Azure OpenAI Service
Azure AI Search
Azure AI Agent Service
Azure AI Document Intelligence
Azure Machine Learning
Configure and manage AI models, deployments, prompts, evaluations, and monitoring.
Application & API Development

Develop scalable REST APIs using Python.
Build microservices and backend services supporting AI workloads.
Integrate AI solutions with enterprise systems such as:
Salesforce
SAP
ServiceNow
CRM applications
Internal business platforms
AI Routing & Orchestration

Design intelligent routing mechanisms that determine whether requests should be fulfilled through:
Enterprise APIs
Knowledge Search (RAG)
LLM reasoning
Agent-based workflows
Build intent classification, context management, and decision engines.
Cloud & DevOps

Deploy AI solutions using:
Azure Kubernetes Service (AKS)
Docker
Kubernetes
Azure App Services
Azure Functions
Implement CI/CD pipelines using Azure DevOps or GitHub Actions.
Monitor solution performance, security, and operational health

Key Skills

Education

Bachelor's degree