Live opening · Posted 19 days ago
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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 strong 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: harshita.chaurasiya@eicetechnology.com
Contact: 8009271142
Work arrangement
No
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