Fullstack Gen AI - Engineer

Why Join Iris? Are you ready to do the best work of your career at one of

India’s Top 25 Best Workplaces in IT industry ? Do you want to grow in an award-winning culture that

truly values your talent and ambitions ? Join Iris Software — one of the

fastest-growing IT services companies — where

you own and shape your success story .

About Us At Iris Software, our vision is to be our client’s most trusted technology partner, and the first choice for the industry’s top professionals to realize their full potential. With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services. Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.

Working with Us At Iris, every role is more than a job — it’s a launchpad for growth. Our Employee Value Proposition,

“Build Your Future. Own Your Journey.” reflects our belief that people thrive when they have ownership of their career and the right opportunities to shape it. We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best — both personally and professionally. Curious what it’s like to work at Iris? Head to this video for an inside look at the people, the passion, and the possibilities. Watch it here.

Job Description Mandatory Skills: Advanced GenAI & Agentic Framework Concepts, Cloud Application Integration & Deployment, AI Agents & Tool Calling, Azure AI Foundry, Agentic AI Systems, LangChain, LangGraph

Additional Skills: GitHub

Key Responsibilities

• Develop and implement Generative AI solutions using platforms such as Amazon Bedrock, Azure OpenAI Service, Azure AI Foundry, Grog, or AI Search Index services.
• Build Retrieval-Augmented Generation (RAG), Graph RAG, or Agentic AI solutions to support enterprise knowledge retrieval and intelligent automation use cases.
• Develop AI-powered applications leveraging Large Language Models (LLMs) aligned with business requirements.
• Develop secure AI services using Python and FastAPI, implement authentication, authorization, asynchronous APIs, request throttling, scheduling, multithreading, and scalable API design where applicable.
• Configure and implement AI agents, tool-calling mechanisms, and intelligent workflow automation solutions.
• Develop and maintain workflows using LangChain or LangGraph to orchestrate AI interactions and business processes.
• Implement prompt engineering, context management, and retrieval strategies to improve AI response quality and relevance.
• Support implementation of vector databases, semantic search, and prompt engineering techniques to improve retrieval quality and AI response accuracy where applicable.
• Support fine-tuning and model customization activities to enhance model performance for domain-specific use cases.
• Integrate AI applications with enterprise systems, databases, external APIs, cloud services, and Model Context Protocol (MCP)-based services where applicable to enable secure, scalable, and seamless business workflows.
• Perform testing, validation, and evaluation of AI-generated outputs to ensure quality, accuracy, and reliability.
• Monitor AI solution performance and support troubleshooting and optimization activities.
• Maintain technical documentation, prompt configurations, workflow definitions, and implementation artifacts.
• Collaborate with various teams and stakeholders to support successful AI solution delivery.
• Ensure AI solutions are reliable, scalable, maintainable, and aligned with business requirements.

Behavioral Competencies

• Demonstrates ownership and accountability while delivering high-quality AI solutions.
• Collaborate effectively with various teams and business stakeholders to ensure smooth delivery.
• Maintains a quality-first mindset while developing reliable and effective AI-powered applications.
• Applies strong analytical and problem-solving skills to resolve AI, retrieval, and workflow-related challenges.
• Shows adaptability and willingness to learn evolving AI technologies, frameworks, and industry trends.
• Communicates clearly by sharing progress, risks, assumptions, and dependencies proactively.
• Maintains attention to detail during AI solution development, testing, validation, and deployment activities.
• Works effectively in dynamic environments with changing priorities and evolving business requirements.
• Takes initiative in improving AI solution quality, automation effectiveness, and operational efficiency.
• Demonstrates a customer-centric mindset by delivering reliable, high-quality solutions.

Mandatory Competencies DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - GitLab,Github, Bitbucket Cloud - Azure - Azure Devops, Azure Pipelines, Azure CLI User Interface - UI-React - React Data & AI - GEN AI - Azure AI Foundry Data & AI - GEN AI - Workflow & Agentic Frameworks (LangChain / LangGraph) Data & AI - GEN AI - Prompt Engineering / Vector Databases Data & AI - GEN AI - Retrieval Augmented Generation (RAG) / Graph RAG / Agentic AI Systems Data & AI - GEN AI - Fine tuning & Model Customization / AI Agents & Tool Calling Data & AI - GEN AI - Python Data & AI - GEN AI - Pandas Data & AI - GEN AI - NumPy Data & AI - GEN AI - Advanced GenAI & Agentic Framework Concepts Data & AI - GEN AI - Cloud Application Integration & Deployment Beh - Communication and collaboration

Perks And Benefits For Irisians Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click here to view the benefits.