Software Engineer Intern (Product Engineering, AI & Test Automation)

About the Role

Key Responsibilities

• Design, develop, test, and maintain software components using Python and modern development frameworks.
• Build, consume, and validate REST APIs and integrations across enterprise applications.
• Develop AI-powered solutions using LLMs, Agentic AI, Prompt Engineering, and Retrieval-Augmented Generation (RAG).
• Contribute to backend services development using FastAPI and microservices architecture.
• Design and implement automated test frameworks for functional, integration, API, and end-to-end testing.
• Create reusable automation scripts to improve product quality, reliability, and performance.
• Execute functional, regression, integration, and performance testing.
• Analyze defects, identify root causes, and collaborate with development teams on resolutions.
• Work with structured and unstructured data to implement business rules and validation logic.
• Participate in code reviews, debugging, performance optimization, and technical documentation.
• Collaborate with Product Managers, Architects, Developers, and QA teams across global locations.
• Explore emerging AI technologies and apply innovative solutions to real-world business challenges.

Required Qualifications & Eligibility

• Pursuing or recently completed a Bachelor's or Master's degree in:
• Computer Science
• Information Technology
• Software Engineering
• Artificial Intelligence
• Data Science
• Computer Applications
• Related technical disciplines
• Strong analytical, problem-solving, and debugging skills.
• Excellent verbal and written communication skills.
• Ability to work effectively in a collaborative Agile environment.
• Interest in software engineering, automation, artificial intelligence, and emerging technologies.

Required Technical Skills & Tools

• Strong SQL skills.
• PostgreSQL, SQL Server, Snowflake, or other relational databases.
• Ability to write complex queries and validate data across systems.
• AWS.
• Microsoft Azure.
• Basic understanding of cloud-native application development.

Preferred Qualifications

• FastAPI and backend development.
• Microservices architecture.
• Knowledge graphs and ontologies.
• Machine learning fundamentals.
• Docker and containerization.
• Semantic search and information retrieval.
• Data engineering concepts.
• Master Data Management (MDM) and data governance.
• API-led connectivity and enterprise integration concepts.
• Python Programming Certification.
• Microsoft Azure AI Fundamentals (AI-900).
• AWS Cloud Practitioner.
• AWS AI Practitioner.
• Generative AI / LLM Certifications.
• LangChain or Agentic AI Certifications.

Benefits & Perks

• Hands-on experience building enterprise-grade software products.
• Exposure to cutting-edge AI, Generative AI, and Agentic AI technologies.
• Real-world experience in automation testing and quality engineering.
• Mentorship from experienced software architects and engineering leaders.
• Opportunity to contribute to impactful products used by global customers.
• Exposure to Agile development practices, cloud platforms, and modern engineering tools.

Job Title

Company

Company Website

Category

Work Mode

• Hybrid
• Employment Type: Full-Time Internship

Experience Level

Location

Salary

Official Application URL

Programming

• Strong proficiency in Python (mandatory).
• Object-Oriented Programming (OOP).
• Data Structures and Algorithms.
• Basic understanding of Java is a plus.

API & Integration Technologies

• REST API development and testing.
• HTTP, REST, and API integration concepts.
• JSON and XML data formats.
• Postman or similar API testing tools.

Test Automation & Quality Engineering

• Understanding of software testing methodologies.
• Functional Testing.
• API Testing.
• Integration Testing.
• End-to-End Testing.
• Performance Testing.
• Backend Testing.
• Test automation frameworks and automation best practices.

Generative AI & Agentic AI

• Large Language Models (LLMs).
• Prompt Engineering.
• Retrieval-Augmented Generation (RAG).
• AI Agents and Multi-Agent Systems.
• Exposure to LangChain, LangGraph, OpenAI, Azure OpenAI, or AWS Bedrock.

Development Tools

• GitHub or GitLab.
• Agile/Scrum methodologies.
• CI/CD concepts.
• Jira.

Internship duration

Work arrangement

• Full-time, hybrid.
• Job ID: R1567860.
• IQVIA follows a zero-tolerance policy for candidate fraud. All information and credentials submitted during the application process must be truthful and complete.