Gen AI - Senior Engineer

Iris Software Inc.; Dadri; Sur place; INR 1 800 000 - 2 400 000; Plein temps

Résumé du poste

Iris Software is seeking a highly skilled GenAI Engineer to join our Noida team. You will design enterprise AI solutions, build agentic AI systems, and lead multi-agent orchestration across cloud platforms using LangGraph, LangChain, and related tools.

We value ownership, continuous learning, and collaboration with cross-functional teams to deliver scalable, production-ready AI solutions that advance client outcomes and drive innovation in a fast-growing IT services environment.

Qualifications

• Advanced GenAI and agentic framework concepts.
• Cloud application integration and deployment.
• Experience with FastAPI framework.
• Proficiency in Python.
• Knowledge of AI search indexing.
• Experience with AI agents and tool calling.
• Experience with Retrieval-Augmented Generation (RAG).
• Knowledge of agentic AI systems.
• Familiarity with LangGraph and LangChain.
• Experience with vector databases.
• Strong prompt engineering skills.

Responsabilités

• Design and develop enterprise GenAI solutions using cloud and AI search platforms.
• Define AI solution architectures aligned with business objectives.
• Implement RAG, Graph RAG, and agentic AI architectures.
• Lead development of intelligent AI agents and tool-calling workflows.
• Design multi-agent orchestration using LangGraph and evaluate AutoGen or CrewAI.
• 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.
• 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.

Connaissances

Advanced GenAI Concepts

Agentic Framework Concepts

Cloud Application Deployment

FastAPI

Python

AI Search Index

AI Agents & Tool Calling

Retrieval-Augmented Generation (RAG)

Agentic AI Systems

LangGraph

LangChain

Vector Databases

Prompt Engineering

Outils

Amazon Bedrock

Azure OpenAI Service

Azure AI Foundry

Grog

AutoGen

CrewAI

AI Search Index

LangGraph

LangChain

Description du poste

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

Experience: 5-8 Years

Location: Noida

Mandatory Skills

• Advanced GenAI & Agentic Framework Concepts
• Cloud Application Integration & Deployment
• FastAPI Framework
• Python
• AI Search Index
• AI Agents & Tool Calling
• Retrieval-Augmented Generation (RAG)
• Agentic AI Systems
• LangGraph
• LangChain
• Vector Databases
• 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.

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.
• Applies strong analytical thinking to evaluate complex AI, retrieval, and orchestration challenges.
• Demonstrates adaptability while managing evolving AI technologies, frameworks, and business requirements.
• Communicates effectively regarding AI solution design, risks, dependencies, assumptions, and improvement opportunities.
• Maintains high attention to detail across AI architecture, prompt design, workflow implementation, testing, and deployment activities.
• Encourages continuous improvement in AI engineering practices, framework adoption, and solution effectiveness.

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.