Job Title: AI Engineer – Microsoft AI Stack

Experience: 4+ Years

Job Type: Full-Time

Role: AI / Generative AI / Azure

Job Summary:

We are looking for a hands-on AI Engineer with 4+ years of experience in software development, cloud engineering, or AI engineering and robust practical experience with the Microsoft AI and Azure ecosystem.

The candidate will work closely with AI Solution Architects to develop, integrate, test, and deploy secure, scalable, and production-ready AI/Generative AI solutions for enterprise customers.

Candidates should have hands-on experience with Azure OpenAI, Azure AI Foundry, Azure AI Search, Microsoft Copilot Studio, RAG, AI Agents, Prompt Engineering, and Azure services.

Key Responsibilities:

- Develop and deploy AI & Generative AI applications using Microsoft Azure technologies.
- Work with Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure AI Services, and Microsoft Copilot Studio.
- Build and implement RAG (Retrieval-Augmented Generation) pipelines.
- Develop AI Agents, semantic search, vector search, and LLM-based applications.
- Implement document ingestion, chunking, embedding, indexing, and retrieval pipelines.
- Design and optimize prompts and LLM workflows.
- Implement Function Calling / Tool Use for AI agent workflows.
- Integrate AI solutions with Microsoft 365, Microsoft Graph, SharePoint Online, Microsoft Teams, and Power Platform.
- Develop integrations using REST APIs, JSON, SDKs, and Azure services.
- Implement AI security, governance, guardrails, data privacy, and responsible AI practices.
- Set up AI model evaluation, logging, monitoring, tracing, and observability.
- Participate in coding, code reviews, testing, technical documentation, and knowledge sharing.
- Collaborate with architects, developers,



business analysts, and customer teams to deliver projects successfully.

Mandatory Skills:

AI / Generative AI:

- Generative AI
- Large Language Models (LLMs)
- RAG
- AI Agents
- Prompt Engineering
- Function Calling / Tool Use
- Semantic Search
- Vector Databases
- AI Evaluation
- AI Guardrails / Responsible AI

Microsoft AI:

- Azure OpenAI Service
- Azure AI Foundry
- Azure AI Search
- Azure AI Services
- Microsoft Copilot Studio
- Microsoft 365 Copilot
- GitHub Copilot

Azure / Microsoft Ecosystem:

- Microsoft Azure
- Azure Functions
- Azure App Services
- Azure Storage
- Azure Key Vault
- Azure Logic Apps
- Microsoft Graph
- Power Automate
- Power Apps
- SharePoint Online
- Microsoft Teams

Programming & Development:

- Python and/or C# (.NET)
- REST APIs
- JSON
- Azure SDKs
- Git
- CI/CD
- Azure DevOps and/or GitHub Actions

Preferred:

- Semantic Kernel
- LangChain
- Azure Machine Learning
- Azure API Management
- Power BI

Experience & Qualifications:

- 4+ years of experience in software development, cloud engineering, data/AI engineering, or a related field.
- 1–2 years of hands-on experience in GenAI / LLM application development, preferably on Azure.
- Experience delivering at least one AI/GenAI solution to production using Microsoft technologies.
- Good understanding of cloud security, data privacy, responsible AI, and enterprise AI governance.
- Bachelor's degree in Computer Science, Engineering, IT, or a related field.
- Strong communication, analytical, and problem-solving skills.

Preferred Certifications:

- Microsoft AI-102 – Azure AI Engineer Associate
- Microsoft AZ-204 – Azure Developer Associate
- Other relevant Microsoft Azure / AI certifications.

Send Resume: [email protected]

Contact: (phone hidden)

📌 AI Engineer – Microsoft AI Stack - 4+ Years - Noida
🏢 Eice Technology
📍 Noida