Skills

agentic-ai
ai
api
automation
azure
azure-functions
cloud
cloud-native
csharp
dotnet
event-driven-architecture
fine-tuning
javascript
json
kubernetes
llm
machine-learning
openai
powerapps
powerbi
prompt-engineering
python
rag
typescript
yaml

Full description

Role Overview

We’re looking for AI engineer to work on the design and deployment of Agentic AI solutions. Using the Microsoft Azure AI ecosystem. Your primary focus will be on building autonomous multi-agent systems that reason, act, and collaborate to solve complex tasks.

Key Responsibilities

Agentic AI Development\: Design and deploy autonomous agents using Azure AI Agent Service and related tools. Define agent logic, goals, and collaboration flows.

End-to-End Ownership\: Work on solutioning from design to deployment and scaling of multi-agent systems.

Cloud Integration\: Leverage Azure services like AI Studio, OpenAI, Azure ML, Functions, and Kubernetes for 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\: Core scripting for pipelines, agent logic, and orchestration.

JavaScript/TypeScript\: For AI-embedded apps (e.g., Power Apps extensions, web integrations).

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

C#/.NET (Preferred)\: Useful for Azure Functions and Bot Framework.

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