Description

Lead the design and delivery of enterprise-grade generative AI applications on Azure.

This role is on-site.

Responsibilities

• Architect and build scalable LLM-based applications, including backend services, APIs, and basic UIs.
• Implement RAG architectures and vector search solutions using Azure AI Search and Document Intelligence.
• Design and deploy AI agents and agentic workflows for automation and intelligent orchestration.
• Establish AI observability practices, including model monitoring, logging, and usage analytics.
• Translate business requirements into secure, resilient technical solutions for enterprise systems.

Required Skills

• 5+ years of software, platform, or cloud engineering experience.
• Strong proficiency in Python and NodeJS/TypeScript.
• Hands-on experience with Azure OpenAI and LLM application development.
• Proven track record implementing RAG architectures and vector search.
• Solid background in Azure cloud services (Functions, App Services, ACR).
• Experience with prompt engineering, evaluation strategies, and LLM performance tuning.
• Strong programming and system design skills for secure enterprise systems.

Preferred Skills

• Infrastructure as Code experience using Terraform or Bicep.
• CI/CD experience using GitHub Actions.
• Authentication and authorization using Entra ID, managed identities, and RBAC.

Key Skills

Education

Any Graduate