Join Iris Software, recognized as one of India's Top 25 Best Workplaces in the IT industry, and contribute to shaping your success story. We are a rapidly growing IT services company committed to being our clients' most trusted technology partner. Our global team of over 4,300 associates serves enterprise clients across financial services, healthcare, transportation & logistics, and professional services, delivering complex, mission-critical applications with cutting-edge technologies.

At Iris, every role is a launchpad for growth, embodying our Employee Value Proposition: "Build Your Future. Own Your Journey." We foster an award-winning culture that values your talent, amplifies your voice, and ensures your work creates real impact. Benefit from cutting-edge projects, personalized career development, continuous learning, and mentorship to excel both personally and professionally.

Develop and deploy advanced Generative AI solutions utilizing platforms like Amazon Bedrock, Azure OpenAI Service, and Azure AI Foundry. Build sophisticated RAG, Graph RAG, and Agentic AI systems for enterprise knowledge retrieval and intelligent automation. Create AI-powered applications leveraging LLMs, ensuring alignment with business needs.

Design and implement secure AI services using Python and FastAPI, incorporating asynchronous APIs, request throttling, scheduling, and scalable design principles. Configure and integrate AI agents, tool-calling capabilities, and intelligent workflows using LangChain or LangGraph.

Master prompt engineering, context management, and retrieval strategies to enhance AI response quality. Support vector database implementation, semantic search, and prompt engineering for improved accuracy. Assist in fine-tuning and model customization for domain-specific use cases. Integrate AI applications with enterprise systems, databases, and cloud services.

Conduct thorough testing, validation, and evaluation of AI outputs. Monitor AI solution performance and provide support for troubleshooting and optimization. Maintain comprehensive technical documentation, including prompt configurations and workflow definitions. Collaborate with cross-functional teams to ensure successful AI solution delivery and ensure solutions are reliable, scalable, and maintainable.

This role requires expertise in Advanced Generative AI and Agentic Framework Concepts, Cloud Application Integration & Deployment, AI Agents & Tool Calling, Azure AI Foundry, Agentic AI Systems, LangChain, and LangGraph. Proficiency in Python and FastAPI for developing secure AI services, including managing authentication, authorization, asynchronous APIs, and scalable API design, is essential.

Key responsibilities include building RAG and Graph RAG solutions, developing AI applications with LLMs, configuring AI agents, and orchestrating workflows using LangChain or LangGraph. A strong understanding of prompt engineering, context management, retrieval strategies, vector databases, and semantic search is crucial for optimizing AI response quality and accuracy.

Candidates should also be adept at integrating AI applications with enterprise systems and supporting fine-tuning activities. Experience with DevOps/Configuration Management tools like GitLab or GitHub, and cloud platforms like Azure (Azure DevOps, Azure Pipelines, Azure CLI) is highly valued. Familiarity with React for UI development is a plus. Demonstrating strong ownership, accountability, analytical skills, adaptability, and a customer-centric mindset is expected.