Role & responsibilities : Python, Advanced GenAI & Agentic Framework Concepts, Cloud Application Integration & Deployment, FastAPI Framework, Azure OpenAI Service, Retrieval-Augmented Generation (RAG), AI Agents & Tool Calling, LangGraph, LangChain, Prompt Engineering.Key Responsibilities : - Design and develop enterprise Generative AI solutions using Amazon Bedrock, Azure OpenAI Service, Azure AI Foundry, Grog, or AI Search Index platforms.- Define AI solution architectures and implementation approaches aligned with business and technical objectives.- Design and implement Retrieval-Augmented Generation (RAG), Graph RAG, and Agentic AI architectures for enterprise use cases.- Lead development of intelligent AI agents, tool-calling workflows, and autonomous task execution frameworks.- Design and implement multi-agent orchestration solutions using frameworks such as LangGraph and evaluate emerging frameworks such as AutoGen or CrewAI where appropriate.- Design and optimize prompt strategies, retrieval mechanisms, context orchestration, and response generation frameworks.- Design prompt engineering pipelines, vector database integration, semantic search solutions,



and Retrieval-Augmented Generation architectures supporting enterprise AI applications.- Design and implement workflows using LangChain or LangGraph to support scalable AI application development.- Design scalable AI engineering architectures incorporating authentication, authorization, asynchronous processing, scheduling, multithreading, API governance, and enterprise deployment best practices.- Lead fine-tuning and model customization initiatives to improve domain-specific AI performance.- Define AI integration patterns and deployment approaches for enterprise application ecosystems.- Design cloud-native AI integration patterns supporting enterprise APIs, databases, messaging platforms, and event-driven architectures.- Establish evaluation frameworks for AI response quality, reliability, relevance, and consistency.- Design Human-in-the-Loop (HITL) workflows and evaluation mechanisms to improve AI quality, governance, and business reliability.- Review AI solution designs to ensure adherence to engineering standards, scalability, maintainability, and responsible AI practices.- Troubleshoot complex AI workflow, retrieval, orchestration, and model behavior challenges through detailed root cause analysis.- Mentor team members on GenAI frameworks, RAG architectures, agentic systems, and AI engineering best practices.- Drive continuous improvement initiatives focused on AI solution quality, innovation, and operational effectiveness. (ref:hirist.tech)

📌 Iris Softwar - Senior Engineer - Generative AI (Pune)
🏢 IRIS SOFTWARE TECHNOLOGIES PRIVATE
📍 Pune