AI / Agent Engineer

About the role

The role focuses on Azure AI services, Azure OpenAI and large language model (LLM) integration, retrieval-augmented generation (RAG), agent orchestration, APIs, and measurable evaluation frameworks. The engineer will work directly with client stakeholders to transform ambiguous business challenges into testable AI use cases, prototypes, and production-ready solutions.

What you'll do

• Lead technical discovery sessions and translate business problems into prioritized, testable AI use cases and solution requirements
• Design and implement grounded AI assistants and agents using Azure AI Services, Azure OpenAI/LLMs, RAG (Retrieval-Augmented Generation), prompt engineering
• Build agent actions and integrations with enterprise systems, data sources, and Microsoft services using secure authentication and authorization patterns
• Develop retrieval, chunking, grounding, and evaluation approaches that improve relevance, accuracy, and traceability
• Establish evaluation datasets, task-success measures, safety checks, responsible AI controls, and prompt-injection defenses

What you need

• 3–5 yrs of experience
• CRM
• LLMs
• Azure
• Prompt engineering
• REST APIs
• SQL
• Any graduate

Good to have

• Power Automate
• CI/CD
• AWS
• Python
• Git
• Salesforce