Description

Job Description

• Hands of experience in software, platform, or cloud engineering.
• Hands of experience with AI/ML or Generative AI solutions.
• Strong experience with Azure OpenAI and LLM-based application development.
• Proven experience implementing RAG architectures and vector search solutions.
• Experience delivering end-to-end AI applications, including backend services, APIs, and basic user interfaces for AI-driven solutions.
• Experience using AI agents or agentic workflows to assist with software development, automation, or intelligent orchestration.
• Solid background in Azure cloud services (Functions, App Services, ACR).
• Familiarity with AI observability, including model monitoring, logging, and usage analytics.
• Hands-on experience with Azure AI Search, Azure Document Intelligence, or similar services.
• Strong programming experience in Python and or NodeJS/TypeScript.
• Experience with prompt engineering, evaluation strategies, and LLM performance tuning.
• Experience designing scalable, resilient, and secure enterprise systems.
• Excellent communication skills with the ability to translate business needs into technical solutions.

Preferred / Nice-to-Have:

• Experience implementing authentication and authorization using Entra ID, managed identities, and RBAC.
• Infrastructure as Code experience using Terraform or Bicep.
• CI/CD experience using GitHub Actions.
• Understanding of data privacy, PII handling, and responsible AI practices.
• Experience working in regulated or large enterprise environments.
• Prior experience acting as a technical lead.
• Exposure to Azure Document Intelligence, Power Platform, or Copilot Studio

Key Skills

Education

Any Graduate