Join Iris Software, a rapidly expanding IT services firm recognized among India's Top Workplaces. We are seeking a seasoned Senior Engineer specializing in Generative AI to contribute to innovative projects. At Iris, we empower our associates to shape their career journeys and achieve their full potential within a supportive, award-winning culture.

Our vision is to be a leading technology partner for enterprises, driving transformation through cutting-edge solutions in areas like Data & Analytics, Cloud, and AI. We operate globally with a significant presence across India, the U.S.A., and Canada.

Design and develop advanced enterprise Generative AI solutions utilizing platforms like Amazon Bedrock and Azure OpenAI Service. Architect and implement Retrieval-Augmented Generation (RAG) and Agentic AI frameworks tailored for business needs. Lead the development of intelligent AI agents, tool-calling workflows, and multi-agent orchestration systems using LangGraph and similar technologies.

Optimize prompt engineering pipelines, vector database integrations, and semantic search solutions. Implement scalable AI engineering architectures incorporating best practices for security, asynchronous processing, and API governance. Drive model fine-tuning initiatives for enhanced domain-specific performance and establish robust evaluation frameworks for AI quality and reliability.

A minimum of 5 to 8 years of experience is required. Proficiency in Python, advanced Generative AI, and agentic framework concepts is essential. Strong experience with cloud application integration and deployment, particularly using the FastAPI framework and Azure OpenAI Service, is crucial. Expertise in Retrieval-Augmented Generation (RAG), AI Agents, Tool Calling, LangGraph, LangChain, and Prompt Engineering is mandatory.

Familiarity with platforms such as Amazon Bedrock, Azure AI Foundry, Grog, or AI Search Index is preferred. Candidates should demonstrate strong analytical thinking, adaptability, effective communication, and meticulous attention to detail in designing and implementing complex AI solutions.