Join Iris Software, recognized as one of India's Top 25 Best Workplaces in the IT industry. We are a fast-growing IT services company committed to being a trusted technology partner and a launchpad for top talent to realize their full potential.

Our vision is to empower enterprise clients through technology-enabled transformation across various sectors like financial services, healthcare, transportation & logistics, and professional services. We specialize in complex, mission-critical applications utilizing cutting-edge technologies including Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.

At Iris, your career journey is yours to own. We foster a culture where your potential is valued, your voice matters, and your contributions create real impact. Through cutting-edge projects, personalized development, continuous learning, and mentorship, we support your professional and personal growth.

Design and develop advanced Generative AI solutions leveraging platforms like Amazon Bedrock and Azure OpenAI Service. Define robust AI solution architectures and implementation strategies, aligning with business and technical objectives.

Implement advanced AI architectures including Retrieval-Augmented Generation (RAG), Graph RAG, and Agentic AI systems. Lead the development of intelligent AI agents, tool-calling workflows, and autonomous task execution frameworks.

Orchestrate multi-agent solutions using frameworks such as LangGraph and evaluate emerging tools like AutoGen or CrewAI. Optimize prompt strategies, retrieval mechanisms, context orchestration, and response generation.

Design and implement prompt engineering pipelines, vector database integrations, and semantic search solutions. Develop scalable AI engineering architectures incorporating best practices for authentication, authorization, asynchronous processing, and deployment.

Lead fine-tuning and model customization for domain-specific AI performance. Establish evaluation frameworks for AI response quality and design Human-in-the-Loop (HITL) workflows for continuous improvement. Review AI solution designs for adherence to engineering standards, scalability, and responsible AI practices. Troubleshoot complex AI challenges through root cause analysis and mentor team members on GenAI frameworks and best practices.

Solid expertise in Agentic AI Systems, Advanced GenAI, and Agentic Framework Concepts is essential. Proficiency in Python, Pandas, and FastAPI Framework is required.

Experience with cloud platforms like Azure OpenAI Service is necessary. Familiarity with AI Agents, Tool Calling, LangGraph, and cloud application integration and deployment is critical.

Demonstrate strong ownership, collaborate effectively with diverse teams, and promote innovation through proactive experimentation. Apply strong analytical thinking to evaluate complex AI challenges and adapt to evolving technologies and business requirements.

Communicate clearly regarding AI solution designs, risks, and improvement opportunities. Maintain high attention to detail in architecture, prompt design, workflow implementation, and testing. Encourage continuous improvement in AI engineering practices and promote secure, scalable, and responsible AI development.