AI Graduate Engineer Trainee

Jobtailor; India; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Jobtailor in India is seeking an AI Engineer to design, develop, and support AI-powered business solutions using Microsoft AI technologies, with emphasis on Azure AI Services. You will build solutions with Azure OpenAI, Copilot, and integrate AI workflows across enterprise apps.

The ideal candidate has a degree in CS/IT/AI/DS/Engineering and hands-on experience with Azure ML and related services, Python, C#/NET, JS/TS, REST APIs, JSON, and ML fundamentals.

Qualifications

• Bachelor's degree in CS/IT/AI/DS/Engineering or related field.
• Fundamentals of Machine Learning and LLMs.
• Experience with Azure AI Services and Azure OpenAI.
• Proficiency in Python; knowledge of C#/NET and JS/TS is a plus.
• Familiarity with REST APIs, JSON, SQL basics, and DevOps tools.

Responsibilities

• Design, develop, and support AI-powered business solutions using Microsoft AI technologies.
• Build and integrate solutions using Azure AI Services, Azure OpenAI, and Copilot capabilities.
• Develop prompts, copilots, and AI workflows to automate business processes.
• Assist in developing ML models and AI solutions using Azure ML.
• Integrate AI solutions with Power Platform, Microsoft 365, SharePoint, Teams, and other apps.
• Collaborate with stakeholders to translate requirements into AI use cases.
• Participate in design, testing, deployment, and production support.
• Keep up to date with emerging AI technologies and recommend approaches.
• Follow software engineering best practices and secure coding principles.

Skills

Azure AI Services

Azure OpenAI

Microsoft Copilot

Azure ML

Python

C# / .NET

JavaScript / TypeScript

REST APIs

SQL basics

Git / Azure DevOps

JSON

Fundamentals of Machine Learning

LLMs

Prompt Engineering

RAG concepts

AI Agents

Azure fundamentals

Retrieval-Augmented Generation

Education

Bachelor's degree in Computer Science

Bachelor's degree in Information Technology

Bachelor's degree in Artificial Intelligence

Bachelor's degree in Data Science

Bachelor's degree in Electronics

Tools

Azure AI Services

Azure OpenAI

Microsoft Copilot

Azure Machine Learning

Azure AI Foundry

Python

C# / .NET

JavaScript

TypeScript

JSON

SQL

Azure DevOps

REST APIs

Job description

Responsibilities

• Design, develop, and support AI-powered business solutions using Microsoft AI technologies.
• Build and integrate solutions using Azure AI Services, Azure OpenAI, and Microsoft Copilot capabilities.
• Develop prompts, copilots, and AI workflows to automate business processes.
• Assist in developing Machine Learning models and AI solutions using Azure ML and related services.
• Integrate AI solutions with Microsoft Power Platform, Microsoft 365, SharePoint, Teams, and other enterprise applications.
• Collaborate with business stakeholders to understand requirements and translate them into AI use cases.
• Participate in solution design, testing, deployment, and production support.
• Keep up to date with emerging AI technologies and recommend innovative approaches.
• Follow software engineering best practices, documentation standards, and secure coding principles.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Electronics, or related field.
• Basic understanding of Microsoft Azure
• Azure AI Services
• Azure OpenAI
• Microsoft Copilot / Copilot Studio
• Azure Machine Learning (preferred)
• Azure AI Foundry (preferred)
• Python (preferred)
• C# or .NET (good to know)
• JavaScript or TypeScript (good to know)
• Fundamentals of Machine Learning
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG) concepts
• AI Agents (basic understanding)
• REST APIs and AI integrations
• Azure fundamentals
• Git / Azure DevOps
• REST APIs
• JSON
• SQL basics

Core Competencies

Demonstrates expertise in designing and developing AI-powered business solutions using Microsoft AI technologies, with a strong focus on Azure AI Services and Machine Learning. Proficient in integrating AI solutions with enterprise applications and following software engineering best practices.