Description

Build scalable, end-to-end AI-driven applications on Azure using modern LLM frameworks and cloud-native practices.

This role is on-site.

Responsibilities

• Design and deliver intelligent enterprise applications, including chatbots and LLM-powered solutions.
• Integrate modern search and retrieval systems into existing enterprise architectures.
• Develop high-performance, secure, and scalable applications on Azure cloud platforms.
• Implement CI/CD pipelines and Infrastructure as Code for automated deployment.
• Ensure observability and monitoring practices for distributed AI applications.

Required Skills

• 5+ years of experience building enterprise applications.
• Proficiency in Python and C#/.NET.
• Experience with Azure OpenAI, Semantic Kernel, LangChain, and LlamaIndex.
• Hands-on experience with Azure App Service and Azure DevOps.
• Strong understanding of cloud-native application development.
• Ability to work in an Agile environment with cross-functional teams.

Preferred Skills

• Experience with search and vector databases (Azure AI Search, pgvector, Pinecone, Weaviate, Milvus).
• Familiarity with infrastructure tools like Bicep or Terraform and observability practices (Application Insights/OpenTelemetry).
• Knowledge of Azure Functions, AKS, and data stores such as SQL Server, PostgreSQL, or Cosmos DB.

Key Skills

Education

Any Graduate