Join a dynamic team at Iris Software, recognized as one of India's Top 25 Best Workplaces in the IT industry. We are a rapidly growing IT services company committed to empowering our clients with technology-enabled transformations and fostering professional growth for our associates.

Our vision is to be the most trusted technology partner for enterprises, serving sectors like financial services, healthcare, transportation, and professional services. We leverage cutting-edge technologies in application engineering, data & analytics, cloud, DevOps, MLOps, quality engineering, and business automation.

At Iris, we believe in "Build Your Future. Own Your Journey." Our culture values your potential, amplifies your voice, and ensures your work makes a tangible impact. Experience continuous learning, personalized career development, and mentorship to excel both personally and professionally.

Design and develop advanced Generative AI solutions leveraging platforms like Amazon Bedrock, Azure OpenAI Service, and Azure AI Foundry. Architect AI solutions that align with strategic business and technical goals, focusing on Retrieval-Augmented Generation (RAG) and Agentic AI architectures.

Lead the creation of intelligent AI agents and autonomous task execution frameworks, utilizing tools like LangGraph. Optimize prompt strategies, context orchestration, and response generation pipelines. Develop scalable AI engineering architectures incorporating security, asynchronous processing, and enterprise deployment best practices.

Drive fine-tuning initiatives for domain-specific AI performance improvement. Establish robust evaluation frameworks for AI response quality, reliability, and relevance. Mentor team members on GenAI frameworks and AI engineering best practices, promoting continuous improvement and responsible AI development.

Proven expertise in advanced Generative AI concepts and Agentic Frameworks. Strong command of Python, cloud application integration, and deployment, with specific experience in Azure OpenAI Service, Agentic AI Systems, AI Agents, and Tool Calling.

Proficiency in designing and implementing RAG, Graph RAG, and Agentic AI architectures. Experience with workflow orchestration frameworks like LangChain and LangGraph is essential. Familiarity with prompt engineering, vector databases, and semantic search solutions is required.

Demonstrate strong analytical thinking, adaptability to evolving AI technologies, and effective communication. A commitment to driving engineering excellence, promoting innovation, and ensuring secure, scalable, and responsible AI practices is paramount.