Gen AI Fullstack - Senior 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 DescriptionMandatory Skills: Agentic AI Systems, Advanced GenAI & Agentic Framework Concepts, Cloud Application Integration & Deployment, AI Search Index, AI Agents & Tool Calling, LangChain, LangGraph

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.

Behavioral Competencies

• Demonstrates strong ownership while driving AI engineering excellence.

• Collaborate effectively with various teams and business stakeholders to ensure smooth delivery.

• Promotes innovation and quality-focused engineering through proactive experimentation and continuous improvement.

Mandatory CompetenciesPerks 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.