Azure AI Engineer: LLMs, Python & GenAI

Anagh Technologies Inc; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Anagh Technologies Inc. is seeking an experienced AI/Python Engineer to design, develop, and deploy scalable AI solutions within Azure. You will build production-grade APIs and microservices, integrate LLMs, and implement robust data pipelines and vector search capabilities.

You will work with Azure OpenAI, LangChain, and open-source ML frameworks while ensuring security, RBAC, and enterprise compliance. Strong Python skills and Azure hands-on experience are essential, with a focus on

Qualifications

• 3+ years of software engineering and AI development experience.

Responsibilities

• Develop and integrate AI/LLM solutions using Azure OpenAI, LangChain, LlamaIndex, and open-source ML frameworks.
• Build production-ready Python APIs and microservices using FastAPI and Flask.
• Develop and manage Azure solutions using Azure ML, Azure Functions, Azure App Services, and AKS/ACI.
• Build data ingestion pipelines and implement vector search solutions using Azure AI Search, Pinecone, Qdrant, or similar technologies.
• Design and implement RAG architectures for enterprise GenAI applications.
• Develop CI/CD pipelines using Azure DevOps or GitHub Actions for application and model deployment.
• Implement monitoring, performance optimization, security, RBAC, and enterprise compliance within Azure.
• Work with SQL/NoSQL databases including PostgreSQL and Azure Cosmos DB.

Skills

Python

Async programming

Communication

Problem-solving

Team collaboration

Tools

Azure OpenAI

LangChain

FastAPI

Flask

Azure ML

Azure Functions

Azure App Services

Docker

Job description

Anagh Technologies Inc. is seeking an experienced AI/Python Engineer to design, develop, and deploy scalable AI solutions within Azure. You will build production-grade APIs and microservices, integrate LLMs, and implement robust data pipelines and vector search capabilities.

You will work with Azure OpenAI, LangChain, and open-source ML frameworks while ensuring security, RBAC, and enterprise compliance. Strong Python skills and Azure hands-on experience are essential, with a focus on