AI Engineer

We are seeking an AI Engineer to design and deploy Agentic AI solutions using the Microsoft Azure AI ecosystem. The role focuses on creating autonomous multi-agent systems that can reason, take action, and collaborate to complete complex tasks.

Key Responsibilities

Agentic AI Development: Create and implement autonomous agents using Azure AI Agent Service and related tools. Define agent logic, goals, and collaboration workflows.

End-to-End Ownership: Own the solution lifecycle from design through deployment, including scaling multi-agent systems.

Cloud Integration: Use Azure services such as AI Studio, OpenAI, Azure ML, Functions, and Kubernetes to support deployment and orchestration.

Required Qualifications: Graduate / Postgraduate.

• Strong proficiency in Python for AI workflows, APIs, and automation.
• Understanding of agent orchestration, stateful logic, decision systems, and tool-using agents.
• Familiarity with prompt engineering, RAG, or LLM fine-tuning.
• Knowledge of cloud-native architecture, APIs, event-driven systems, and secure deployments

Technical Skills:

Python: Develop core scripts for pipelines, agent logic, and orchestration.

JavaScript/TypeScript: Build AI-embedded applications (e.g., Power Apps extensions, web integrations).

API & Data Standards: JSON, YAML, REST, Graph QL, Microsoft Graph.

C#/.NET (Preferred): Supports Azure Functions and Bot Framework use cases.

Visualization (Nice to have): Create custom Power BI visuals using D3.js or Chart.js.