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Kochi, India | Full time | Hybrid | R1544249 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: 47 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. Where you'll work Hybrid Youll 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 whats possible for patients. Across every team and every corner of the globe, youll find colleagues who genuinely care about the mission and about each other. Thats what makes this a place where people tend to stay, grow and do the best work of their careers. .
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