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.

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, and SQL or NoSQL databases.

- Certifications (Nice, Not Mandatory) :

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

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

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

4. 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)