AI Engineer - Azure Platform

Description :

Requirement Start Date: January 2026

Location: India (Remote)

Role Summary :

As an AI Engineer, you will assist in building and deploying AI-driven applications using Microsoft technologies.

Work closely with senior architects to implement components of intelligent solutions, gain hands-on experience with AI and Agentic Solutions, and contribute to secure, scalable cloud solutions.

Operating Model : Work From Home (Remote)

Shift Timing (Including time zone) : 2 PM 11 PM IST

Experience Range : 6+ Years

Must-Have Skills AI Engineer (Azure, AI & Automation)

Cloud & Azure Fundamentals :

- Hands-on experience building applications on Microsoft Azure

- Practical experience with containerized workloads using : Azure Container Apps or AKS

- Working knowledge of Azure networking, identity, and security basics

- Azure Functions + Logic Apps

- Azure AI Foundry

AI & LLM Integration :

- Experience working with Azure OpenAI and/or Azure AI Foundry

- Ability to implement : LLM-powered workflows, Prompt-based automation and orchestration

- Familiarity with basic agentic patterns (orchestrator, tools, RAG, human-in-the-loop)

API Development :

- Strong experience designing and building REST APIs

- Azure APIM

- Ability to integrate APIs with cloud services and AI workflows

- Familiarity with API authentication and authorization patterns

Programming :

- Python for AI workflows, automation, and backend logic

- C# / .NET for APIs and enterprise backend services and/or AI workflows as needed

Data Handling :

- Experience working with structured and semi-structured data (JSON, APIs, documents)

- Ability to prepare and transform data for AI-driven applications

Engineering & Delivery :

- Experience with Git-based development and CI/CD

- Ability to deploy, monitor, and troubleshoot cloud applications

- Comfortable documenting solutions and collaborating in distributed teams

Working Model :

- Willingness to work with 4+ hours of U.S. (EST-focused) overlap

- Comfortable operating as a hands-on individual contributor

Good to Have Skills & Certifications :

Familiarity with :

- Prompt evaluation and iteration

- Model performance monitoring and logging

Exposure to Responsible AI practices and governance concepts :

- Copilot Studio

- Event driven architectures

- SQL or NoSQL databases

Certifications (Nice, Not Mandatory) :

- Microsoft Certified: Azure AI Engineer Associate (AI-102)

- Microsoft Certified: Azure Developer Associate (AZ-204)

- Microsoft Certified: Azure Solutions Architect Expert (AZ-305)

- Any relevant Azure Fundamentals or AI/ML certifications

Key Responsibilities :

- Assist in developing and deploying AI-driven solutions using Microsoft Copilot Studio, Azure AI Foundry, and related services.

- Support configuration and testing of intelligent agents within Microsoft 365, Power Platform, and Azure environments.

- Collaborate on building and optimizing AI systems and integrations under senior guidance.

- Help implement data ingestion, transformation, and validation workflows to support optimizing data for AI workloads.

- Participate in AI driven data discovery and exploration.

- Learn and apply best practices for security, compliance, and responsible AI solution development.

- Create documentation of technical processes and solution designs.

- Engage in team discussions and knowledge-sharing sessions to grow technical expertise.

Education Qualifications : Graduation (Any discipline)