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.
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.
- Strong proficiency in Python (mandatory).
- Knowledge of Object-Oriented Programming (OOP), Data Structures, and Algorithms.
- Basic understanding of Java is a plus.
- REST API development and testing.
- HTTP, REST, and API integration concepts.
- JSON and XML data formats.
- Experience with Postman or similar API testing tools.
- Strong SQL skills.
- Experience with PostgreSQL, SQL Server, Snowflake, or other relational databases.
- Ability to write complex queries and validate data across systems.
- 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.
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
- Understanding of cloud platforms such as:
- AWS
- Microsoft Azure
- Basic knowledge of cloud-native application development.
- GitHub or GitLab
- Agile/Scrum methodologies
- CI/CD concepts
- Jira
- 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
- 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.
Skills Required
- Pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, Artificial Intelligence, Data Science, Computer Applications, or a related technical discipline
- Strong analytical, problem-solving, and debugging skills
- Excellent verbal and written communication skills
- Ability to work effectively in a collaborative Agile environment
- Strong proficiency in Python
- Knowledge of object-oriented programming, data structures, and algorithms
- Understanding of REST APIs, HTTP, API integration, JSON, and XML
- Experience with Postman or similar API testing tools
- Strong SQL skills and experience with relational databases such as PostgreSQL, SQL Server, or Snowflake
- Understanding of software testing methodologies, including functional, API, integration, end-to-end, performance, and backend testing
- Knowledge of test automation frameworks and automation best practices
- Knowledge or coursework in LLMs, prompt engineering, RAG, AI agents, and multi-agent systems
- Understanding of cloud platforms such as AWS or Microsoft Azure
- Knowledge of GitHub or GitLab, Agile/Scrum, CI/CD concepts, and Jira
- Basic understanding of Java
- Experience with FastAPI and backend development
- Knowledge of microservices architecture
- Knowledge of knowledge graphs, ontologies, machine learning, Docker, semantic search, information retrieval, data engineering, MDM, data governance, and enterprise integration
- Python Programming Certification, Azure AI Fundamentals, AWS Cloud Practitioner, AWS AI Practitioner, Generative AI or LLM certification, or LangChain or Agentic AI certification
IQVIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about IQVIA and has not been reviewed or approved by IQVIA.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive, spanning medical/dental/vision plus programs like telemedicine, EAP resources, and additional insurance options. Feedback suggests the health offering is a meaningful part of the overall rewards package, though details can vary by location and plan design.
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Retirement Support — Retirement benefits include an employer match structure that supports employee contributions through a defined formula. This adds steady long-term value to total rewards beyond base salary.
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Leave & Time Off Breadth — Time off offerings include vacation/paid time off, holidays, and flexibility themes, with some roles described as having discretionary or unlimited time-off models. This can make the package feel more attractive even when cash compensation is viewed as only mid-range.
IQVIA Insights
What We Do
IQVIA (NYSE:IQV) is a leading global provider of advanced analytics, technology solutions, and clinical research services to the life sciences industry. IQVIA creates intelligent connections across all aspects of healthcare through its analytics, transformative technology, big data resources and extensive domain expertise. IQVIA Connected Intelligence™ delivers powerful insights with speed and agility — enabling customers to accelerate the clinical development and commercialization of innovative medical treatments that improve healthcare outcomes for patients. With approximately 70,000 employees, IQVIA conducts operations in more than 100 countries. To learn more, visit www.iqvia.com.
