We are seeking a highly skilled AI/ML Engineer with strong backend development expertise to design, build, and scale production-grade AI-driven applications for healthcare and life sciences use cases.
This is a hands-on development role focused on building LLM-powered, Agentic AI, and RAG-based systems, taking solutions from prototype to scalable, enterprise-ready deployments.
Looking for a Senior AI/ML Engineer with strong Python backend expertise to build production-grade LLM, RAG, and Agentic AI applications. Hands-on role focused on scalable APIs, AI frameworks (LangChain), and real-world data systems. Bangalore-based, hybrid work model.
Key Responsibilities:
- Design and develop production-grade backend systems using Python
- Build and deploy LLM-based applications, including Agentic workflows and RAG pipelines
- Develop and manage RESTful APIs and scalable microservices
- Translate AI/ML prototypes into robust, production-ready solutions
- Integrate modern frameworks such as LangChain, LangSmith (or similar)
- Work with large, complex datasets to build high-performance AI models and systems
- Implement best practices for model optimization, performance tuning, and scalability
- Collaborate with product, data science, and engineering teams to deliver solutions aligned with business needs
- Apply AI tools and automation in development workflows to improve productivity and efficiency
Required Skills & Experience:
- 4–7 years of experience in software development with AI/ML exposure
- Strong programming expertise in Python (mandatory)
- Hands-on experience with:
- Agentic AI frameworks (LangChain / LangGraph / similar)
- Retrieval-Augmented Generation (RAG)
- API development and backend architecture
- Experience building production-grade AI/ML systems
- Familiarity with LLMs and prompt engineering concepts
- Experience working with large real-world datasets
- Solid understanding of software engineering best practices (scalability, reliability, testing)
Good to Have:
- Experience with frontend frameworks (React / Angular)
- Knowledge of cloud platforms (Azure / AWS / GCP)
- Exposure to containerization (Docker/Kubernetes)
- Experience in healthcare / pharma domain
- Experience with ML lifecycle tools (MLflow, LangSmith, etc.)
- Exposure to evaluation techniques for LLMs/Agentic systems (e.g., agent performance testing, benchmarking, or similar)
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
- 4-7 years of experience in software development with AI/ML exposure
- Strong programming expertise in Python
- Hands-on experience with Agentic AI frameworks (LangChain / LangGraph / similar)
- Retrieval-Augmented Generation (RAG) experience
- API development and backend architecture experience (RESTful APIs, microservices)
- Experience building production-grade AI/ML systems
- Familiarity with LLMs and prompt engineering concepts
- Experience working with large real-world datasets
- Solid understanding of software engineering best practices (scalability, reliability, testing)
- Experience with frontend frameworks (React / Angular)
- Knowledge of cloud platforms (Azure / AWS / GCP)
- Exposure to containerization (Docker / Kubernetes)
- Experience in healthcare / pharma domain
- Experience with ML lifecycle tools (MLflow, LangSmith, etc.)
- Exposure to evaluation techniques for LLMs/Agentic systems (benchmarking, agent performance testing)
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.
