Advance your career at Iris Software, a recognized Top 25 Best Workplace in India's IT industry. We offer an award-winning culture that values your ambition and talent, providing a platform for rapid growth.

Iris Software is a fast-growing IT services company dedicated to being a premier technology partner for our clients. With a global team of over 4,300 associates across India, the U.S.A., and Canada, we empower enterprises in financial services, healthcare, transportation, and professional services with cutting-edge solutions. Our expertise spans complex application engineering, data & analytics, cloud, DevOps, MLOps, and business automation.

Design and implement advanced enterprise Generative AI solutions using platforms like Amazon Bedrock and Azure OpenAI Service. Define robust AI solution architectures and implementation strategies.

Develop and deploy Retrieval-Augmented Generation (RAG), Graph RAG, and agentic AI systems for diverse enterprise needs. Lead the creation of intelligent AI agents, tool-calling workflows, and autonomous task execution frameworks.

Orchestrate multi-agent systems using frameworks such as LangGraph and explore emerging solutions like AutoGen or CrewAI. Optimize prompt strategies, retrieval mechanisms, and response generation for maximum efficiency.

Build scalable AI engineering architectures incorporating security, asynchronous processing, and best practices for enterprise deployment. Lead model fine-tuning initiatives and establish evaluation frameworks for AI quality and reliability.

This senior engineering role requires 6-8 years of experience, with a strong command of Generative AI and Agentic Framework concepts. Expertise in cloud application integration and deployment, Python, and the FastAPI framework is essential.

Proficiency in AI Search Index, AI Agents, Tool Calling, Retrieval-Augmented Generation (RAG), Agentic AI Systems, LangGraph, LangChain, Vector Databases, and Prompt Engineering is mandatory.

Experience with platforms such as Amazon Bedrock, Azure OpenAI Service, Azure AI Foundry, or Grog is required. Familiarity with Graph RAG, multi-agent orchestration, and frameworks like AutoGen or CrewAI is highly beneficial.

Candidates should demonstrate strong ownership, collaborative skills, and a proactive approach to innovation and quality. Excellent analytical and communication skills are necessary to navigate complex AI challenges and ensure successful project delivery.