Join Iris Software, recognized as one of India's Top 25 Best Workplaces in the IT industry, and embark on the most impactful career journey of your life. We are a rapidly expanding IT services company committed to fostering an award-winning culture that genuinely values your ambition and talent. Our vision is to be the premier technology partner for our clients and the ultimate destination for top industry professionals seeking to realize their full potential. With a global presence and expertise across critical sectors like financial services, healthcare, and transportation, we specialize in complex, mission-critical applications leveraging cutting-edge technologies in Data & Analytics, Cloud, DevOps, and Generative AI.

As a Senior Engineer specializing in Generative AI, you will be instrumental in designing and implementing advanced AI solutions. This includes developing AI-powered applications utilizing Large Language Models (LLMs) and architecting systems such as Retrieval-Augmented Generation (RAG) and Agentic AI. You will work with leading AI platforms like Amazon Bedrock and Azure OpenAI Service, and develop secure AI services using Python and FastAPI, implementing robust API designs. Your role will involve configuring AI agents, orchestrating workflows with frameworks like LangChain, and optimizing AI responses through prompt engineering and vector databases. Integrating AI applications with enterprise systems and ensuring the reliability, scalability, and maintainability of solutions will be key aspects of your contribution.

We are seeking a Senior Engineer with 5-8 years of experience in AI technologies. Essential skills include proficiency with AI Platforms (e.g., Amazon Bedrock, Azure OpenAI Service), Retrieval-Augmented Generation (RAG) or Agentic AI Systems, and a deep understanding of Advanced GenAI & Agentic Framework Concepts. Experience with Fine-tuning & Model Customization, AI Agents & Tool Calling, and Workflow & Agentic Frameworks like LangChain or LangGraph is mandatory. Expertise in Cloud Application Integration & Deployment and the FastAPI framework is also required. Familiarity with prompt engineering, vector databases, and Python libraries such as Pandas and NumPy is crucial for success in this role.