Overview
About the Role
We are looking for highly motivated Software Engineer Interns to join our Product Engineering team and contribute to building next-generation AI-powered enterprise applications. You will work alongside experienced architects, developers, and quality engineers to build, test, and optimize scalable software solutions using modern technologies like Python, Generative AI, APIs, Cloud Platforms, Automation Frameworks, Data Platforms, and Microservices.
This role provides 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 using 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, or 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, API, integration, end-to-end, performance, and 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, and AWS Bedrock.
Cloud Technologies
- Understanding of cloud platforms such as AWS and 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.
If an employer asks you to pay any kind of fee, please notify us immediately. Talentd does not charge any fee from applicants and we do not allow other companies to do so.
Key Skills
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Education Requirements
- Pursuing or recently completed Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, Artificial Intelligence, Data Science, Computer Applications, or related technical disciplines
IQVIA
IQVIA is a leading global provider of advanced analytics, technology solutions, and clinical research services to the life sciences industry. Formed in 2016 through the merger of IMS Health and Quintiles, IQVIA leverages its extensive healthcare data assets, deep industry expertise, and innovative technology to help pharmaceutical, biotechnology, and medical device companies accelerate drug development, improve patient outcomes, and optimize commercial performance. The company’s mission is to harness the power of data science and human ingenuity to drive healthcare forward.
With a workforce exceeding 86,000 employees across more than 100 countries, IQVIA holds a strong market position as one of the largest contract research organizations (CROs) in the world. It is recognized for its proprietary tools such as the IQVIA CORE, which integrates data, analytics, technology, and domain expertise. Recent achievements include expanding its real-world evidence capabilities, advancing decentralized clinical trial methodologies, and supporting COVID-19 vaccine development and distribution efforts. IQVIA continues to be a trusted partner for healthcare stakeholders seeking actionable insights and transformative solutions.
Company Details
Connect With Us
Websiteiqvia.com