Join Iris Software, a rapidly expanding IT services firm recognized among India's Top 25 Best Workplaces in the IT industry. We are dedicated to being our clients' most trusted technology partner and a premier destination for top industry professionals. Our global team supports enterprise clients across financial services, healthcare, transportation & logistics, and professional services with cutting-edge solutions in application engineering, data, cloud, DevOps, and more.

At Iris, we believe in empowering our employees to "Build Your Future. Own Your Journey." We foster an inclusive culture where your potential is recognized, your contributions are valued, and you can make a significant impact. Benefit from exciting projects, personalized career development, continuous learning, and mentorship to excel both personally and professionally.

Develop and implement Generative AI-powered applications, translating requirements into efficient Python services.

Utilize LLM orchestration frameworks like LangChain, LangGraph, and OpenAI tools, and contribute to proof-of-concept initiatives for new GenAI capabilities.

Build and enhance RAG pipelines with embeddings and vector databases, implementing Agentic workflows and optimizing retrieval systems.

Collaborate effectively through code reviews, design discussions, and documentation, adhering to best practices in coding, testing, and DevOps.

Demonstrate strong proficiency in Python, including Flask, REST, and asynchronous programming.

Possess practical experience with Generative AI, LLM-based applications, and RAG systems, including embeddings and vector databases.

Familiarity with Agentic frameworks such as LangChain, LangGraph, ReAct, or OpenAI Assistants is essential.

Experience with AWS cloud services (ECS, S3, API Gateway, IAM, Bedrock), API development, microservices, and containerization is required.

Knowledge of CI/CD pipelines and tools like Docker, GitLab, or GitHub Actions is also necessary.