Join Iris Software, recognized as one of India's Top 25 Best Workplaces in the IT industry. We are a rapidly growing IT services company committed to fostering an award-winning culture that values your talent and ambitions. At Iris, we empower our associates to own and shape their success stories, acting as our clients' most trusted technology partners.

Our vision extends to being the first choice for top industry professionals seeking to realize their full potential. With a global team across India, the U.S.A., and Canada, we drive technology-enabled transformations for enterprise clients in sectors like financial services, healthcare, transportation & logistics, and professional services. Our expertise spans complex, mission-critical applications, including advanced application and product engineering, data and analytics, cloud solutions, DevOps, Data & MLOps, quality engineering, and business automation.

Develop and implement advanced Generative AI solutions, leveraging Large Language Models (LLMs) and AI agent frameworks. Design and build AI agent architectures, orchestration platforms, and integrate them via APIs. Utilize Python, Django, and React for robust back-end and front-end development. Manage and optimize Postgres SQL and SQL Server databases, including database design. Apply prompt engineering techniques and LLM optimization for enhanced performance. Collaborate on projects utilizing Github, DevOps practices, and CI/CD pipelines. Contribute to the development and deployment of AI Search Index and cloud-based applications.

Demonstrate advanced proficiency in Python and the Django Framework, alongside extensive experience with Large Language Models (LLMs). Possess proven experience in AI agent development, implementation, agent frameworks, orchestration platforms, AI agent architectures, APIs, and design patterns. Show advanced proficiency in front-end technologies such as React. Exhibit advanced proficiency with Postgres SQL, with experience in SQL Server and database design. Possess a strong understanding of prompt engineering and LLM optimization techniques. Familiarity with Github, DevOps practices, and CI/CD pipelines is essential.