Join Iris Software, a rapidly expanding IT services company recognized among India's Top 25 Best Workplaces in the IT industry. We are seeking a Senior Engineer with expertise in Generative AI to contribute to innovative, mission-critical applications. Our collaborative culture fosters growth, offering personalized career development and continuous learning opportunities.

At Iris, we empower our associates to own their career journeys and make a real impact. We are dedicated to being a trusted technology partner for our enterprise clients across various sectors, including financial services, healthcare, transportation, and professional services. Our work leverages cutting-edge technologies to drive transformation.

Design and implement advanced enterprise Generative AI solutions utilizing platforms like Amazon Bedrock or Azure OpenAI Service. Architect and deploy sophisticated RAG and Agentic AI systems, including Graph RAG and AI agents with tool-calling capabilities. Develop multi-agent orchestration solutions using frameworks such as LangGraph and explore emerging tools like AutoGen or CrewAI. Optimize prompt strategies, retrieval mechanisms, and response generation for enhanced AI performance.

Implement scalable AI engineering architectures that incorporate authentication, authorization, asynchronous processing, and API governance. Lead fine-tuning initiatives for domain-specific AI models and define robust AI integration patterns for enterprise ecosystems. Establish evaluation frameworks for AI response quality and design Human-in-the-Loop workflows to ensure reliability and governance. Troubleshoot complex AI challenges and mentor team members on GenAI best practices.

This role requires 5-8 years of experience in Generative AI engineering. Essential skills include Agentic AI Systems, Advanced GenAI & Agentic Framework Concepts, Cloud Application Integration & Deployment, FastAPI Framework, Python, Graph RAG, Retrieval-Augmented Generation (RAG), AI Agents & Tool Calling, LangChain, LangGraph, Vector Databases, and AI Search Index. Experience with PySpark is considered an advantage.

We are looking for individuals who demonstrate strong ownership, collaborate effectively with diverse teams, and drive innovation. Excellent analytical thinking and adaptability to evolving AI technologies are crucial. Candidates must possess strong communication skills regarding AI solution design, risks, and opportunities, along with meticulous attention to detail in all aspects of AI development and deployment.