AI Full Stack Software Engineer

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. They create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide.

Education:

• Bachelor’s degree in Computer Science or a related field.

Experience:

• Typically 3+ years of professional experience in software engineering or full stack application development.

Programming & Technologies:

• Strong proficiency in Python, React, JavaScript, and Java.
• Experience building frontend/UI applications with a focus on usability and responsiveness.
• Experience developing backend APIs, services, and microservices.
• Familiarity with modern software engineering practices, including testing, debugging, and version control.

Cloud & Platforms:

• Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP).
• Experience with CI/CD practices and deployment workflows for modern applications.
• Familiarity with API integrations, databases, and distributed system design.

Preferred Qualifications:

• Familiarity with LLM-based applications, agentic frameworks, or AI workflow orchestration.
• Experience with containerization and orchestration tools such as Docker and Kubernetes.
• Exposure to RAG-based architectures, retrieval systems, or AI application monitoring.
• Understanding of secure development practices in enterprise or regulated environments.
• Experience building user-facing tools for analytics, operations, or AI-assisted decision support.

Mandatory:

• Design, develop, and maintain full stack applications supporting AI research, prototyping, and production use cases.
• Build modern, responsive, and intuitive user interfaces using React and JavaScript for AI-driven workflows and dashboards.
• Develop robust backend services and APIs using Python and Java to support agent orchestration, business logic, and system integration.
• Design and implement microservices-based architectures for scalable and maintainable AI applications.
• Collaborate with AI scientists, engineers, and product managers to translate business and technical requirements into user-facing applications.
• Integrate AI applications with enterprise systems, APIs, databases, and cloud platforms.
• Apply software engineering best practices including testing, observability, documentation, and automation.
• Ensure security, compliance, auditability, and protection of sensitive data in application design and development.
• Troubleshoot and resolve frontend, backend, integration, and performance issues across the application stack.

Preferred:

• Contribute to application architectures supporting agent workflows, including orchestration layers, tool integrations, and human-in-the-loop experiences.
• Build and enhance applications supporting near real-time agent interactions and feedback loops.
• Develop UI patterns for conversational interfaces, workflow dashboards, and agent action visibility.
• Support integration with vector stores, retrieval systems, or knowledge-based AI components.
• Assist with performance optimization to reduce latency in agent-driven workflows.
• Contribute to deployment automation and environment setup using modern DevOps practices.
• Work with cross-functional teams to define reusable frontend and backend patterns for AI products.

IQVIA maintains a zero tolerance policy for candidate fraud. All information and credentials submitted must be truthful and complete. False statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification or termination of employment if discovered later, in accordance with applicable law.