Job Title/Role: AI Engineer
Location: India (Remote)
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.
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.
Education Qualifications: Graduation (Any discipline)
Job Type: Full-time
Pay: ₹643,516.63 - ₹1,872,579.09 per year
Experience:
AI Engineer : 6 years (Preferred)
Azure, AI & Automation: 6 years (Preferred)
Work Location: Remote