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 offering an award-winning culture that values your ambition and talent.

Our vision is to be a premier technology partner for our clients and a platform for top professionals to achieve their full potential. With over 4,300 associates across India, the U.S.A., and Canada, we empower enterprise clients in financial services, healthcare, transportation & logistics, and professional services through technology-driven transformations. Our expertise spans complex, mission-critical applications leveraging cutting-edge technologies like AI, Data & Analytics, Cloud, DevOps, and more.

Design and develop advanced Generative AI solutions using platforms like Amazon Bedrock, Azure OpenAI Service, and AI Search Index. Define robust AI solution architectures and implementation strategies. Develop enterprise-grade Retrieval-Augmented Generation (RAG), Graph RAG, and AI agentic architectures. Lead the creation of intelligent AI agents, tool-calling workflows, and autonomous task execution systems.

Orchestrate multi-agent solutions with frameworks such as LangGraph, and evaluate emerging platforms like AutoGen or CrewAI. Optimize prompt strategies, retrieval mechanisms, and response generation. Implement prompt engineering pipelines, vector database integrations, and semantic search solutions.

Design scalable AI engineering architectures incorporating authentication, authorization, asynchronous processing, and API governance. Lead fine-tuning initiatives and develop AI integration patterns for enterprise ecosystems. Establish evaluation frameworks for AI response quality and implement Human-in-the-Loop (HITL) workflows. Troubleshoot complex AI challenges and mentor team members on GenAI best practices.

A strong foundation in Agentic AI Systems, Advanced GenAI, and Agentic Framework Concepts is essential. Expertise in Cloud Application Integration & Deployment, Python, and the FastAPI Framework is required. Proficiency in Graph RAG, Retrieval-Augmented Generation (RAG), AI Agents & Tool Calling, LangChain, LangGraph, Vector Databases, and AI Search Index is mandatory.

Additional experience with PySpark is beneficial. The role requires a proactive approach to designing and implementing cutting-edge AI solutions, coupled with strong analytical thinking and effective communication skills.