We are seeking highly motivated Software Engineer Interns to join our Product Engineering team and contribute to the development of next-generation AI-powered enterprise applications. As an intern, you will work alongside experienced architects, developers, and quality engineers to build, test, and optimize scalable software solutions leveraging modern technologies including Python, Generative AI, APIs, Cloud Platforms, Automation Frameworks, Data Platforms, and Microservices.

This role offers hands-on exposure to software development, AI-driven solutions, automated testing, and enterprise-scale application architecture in an Agile environment.

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 leveraging Large Language Models (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 test plans including 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 effectively 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

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.
Passion for software engineering, automation, artificial intelligence, and emerging technologies.

Required Technical Skills

Programming

Strong proficiency in Python (mandatory).
Knowledge of 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.
Experience with Postman or similar API testing tools.

Database Technologies

Strong SQL skills.
Experience with PostgreSQL, SQL Server, Snowflake, or other relational databases.
Ability to write complex queries and validate data across systems.

Test Automation & Quality Engineering

Understanding of software testing methodologies.
Exposure to:
- Functional Testing
- API Testing
- Integration Testing
- End-to-End Testing
- Performance Testing
- Backend Testing
Knowledge of test automation frameworks and automation best practices.

Generative AI & Agentic AI

Knowledge or coursework in:

Large Language Models (LLMs)
Prompt Engineering
Retrieval-Augmented Generation (RAG)
AI Agents and Multi-Agent Systems

Exposure to tools such as:

LangChain
LangGraph
OpenAI / Azure OpenAI
AWS Bedrock

Cloud Technologies

Understanding of cloud platforms such as:
- AWS
- Microsoft Azure
Basic knowledge of cloud-native application development.

Development Tools

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

Preferred Skills

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.

Preferred Certifications

Python Programming Certification
Microsoft Azure AI Fundamentals (AI-900)
AWS Cloud Practitioner
AWS AI Practitioner
Generative AI / LLM Certifications
LangChain or Agentic AI Certifications

What You'll Gain

Hands-on experience building enterprise-grade software products.
Exposure to cutting-edge AI, GenAI, 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.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

Where you'll work

Hybrid

You’ll split your time between home and the office, giving you the flexibility to focus where you work best while still building strong in-person connections with your team. This model combines the autonomy of remote work with the collaboration, energy and resources of an office environment.

Culture

Culture at IQVIA is built on a shared belief: that when people are empowered with better data, smarter technology and deeper expertise, they can change what’s possible for patients. Across every team and every corner of the globe, you’ll find colleagues who genuinely care — about the mission and about each other. That’s what makes this a place where people tend to stay, grow and do the best work of their careers.