Join Iris Software as a Senior Fullstack Gen AI Engineer and contribute to pioneering Generative AI solutions. This is an opportunity to excel in a top-tier IT workplace renowned for its award-winning culture and commitment to employee growth. Iris is a rapidly expanding IT services firm, dedicated to being a premier technology partner for its clients and a beacon for top industry talent.

Our mission at Iris Software is to empower enterprise clients through technology-enabled transformations across various sectors, including financial services, healthcare, transportation, and professional services. We tackle complex, mission-critical applications leveraging cutting-edge technologies in application and product engineering, data and analytics, cloud, DevOps, MLOps, quality engineering, and business automation.

Develop enterprise-grade Generative AI solutions using platforms like Amazon Bedrock, Azure OpenAI Service, Azure AI Foundry, and AI Search. Define robust AI solution architectures and implementation strategies that align with business objectives.

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

Design and orchestrate multi-agent systems using frameworks like LangGraph, while evaluating emerging options such as AutoGen or CrewAI. Optimize prompt strategies, retrieval mechanisms, context management, and response generation.

Create prompt engineering pipelines, integrate vector databases, and build semantic search solutions. Develop workflows using LangChain or LangGraph for scalable AI application development.

Architect scalable AI systems incorporating authentication, authorization, asynchronous processing, API governance, and enterprise deployment best practices. Lead fine-tuning initiatives to enhance domain-specific AI performance.

Define AI integration patterns and deployment strategies for enterprise application ecosystems. Establish evaluation frameworks for AI response quality, reliability, and consistency. Design Human-in-the-Loop (HITL) workflows to improve AI governance and business reliability.

Review AI solution designs to ensure adherence to engineering standards, scalability, and responsible AI practices. Troubleshoot complex AI challenges through detailed root cause analysis. Mentor team members on GenAI frameworks and AI engineering best practices.

Possess expertise in advanced Generative AI and Agentic Framework Concepts. Skilled in Cloud Application Integration & Deployment, AI Agents, Tool Calling, Azure AI Foundry, Agentic AI Systems, LangChain, and LangGraph.

Competent in DevOps/Configuration Management tools like GitLab, GitHub, and Bitbucket. Experience with UI-React and Azure cloud services including Azure DevOps, Azure Pipelines, and Azure CLI is essential.

Proficient in GenAI concepts such as Prompt Engineering, Vector Databases, Workflow & Agentic Frameworks, Fine-tuning, Model Customization, AI Agents & Tool Calling, and Retrieval Augmented Generation (RAG). Strong programming skills in Python, Pandas, and NumPy are required.

Demonstrate excellent communication and collaboration abilities. Familiarity with RAG, Graph RAG, and Agentic AI Systems is crucial for success in this role.