Gen AI - Associate Engineer

Iris Software; Dadri; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Iris Software in Noida is seeking a proficient GenAI/AI Engineer to design and implement AI-powered applications, including AI agents and orchestration components. You will work across Python, Django, and React to deliver scalable solutions.

Candidates should have strong SQL/database design skills and hands-on experience with LLMs, LangChain or similar tools, and cloud integration. The role involves building robust APIs and participating in CI/CD pipelines within a collaborative team.

Qualifications

• Proficient in Python and Pandas for data handling and GenAI workflows.
• Strong experience with Django and building AI-enabled applications.
• Hands-on with LLMs, AI agents, and related frameworks.
• Front-end expertise with React for interface development.
• Solid database design and PostgreSQL proficiency.

Skills

Python

Django

LLMs

AI agent development

Agent frameworks

Orchestration platforms

APIs & design patterns

React

PostgreSQL

GitHub

CI/CD

Tools

LangChain

LangGraph

AWS

Azure

GCP

Docker

Kubernetes

Amazon Bedrock

Azure OpenAI Service

Groq

Job description

Job Summary

Location: Noida, UP, India

Company: Iris Software

Primary Skills

• Advanced proficiency in Python and Django Framework
• Extensive experience with Large Language Models (LLMs)
• Proven experience in AI agent development, implementation,agent frameworks, orchestration platforms,AI agent architectures, APIs and design patterns
• Advance proficiency in front-end technologies such as React
• Advanced proficiency with Postgres SQL; Experience with SQL server & database design
• Knowledge of prompt engineering and LLM optimization techniques
• Familiarity with Github, DevOps practices and CI/CD pipelines

Nice to Have Skills

• Capital markets experience
• Experience with LangChain, AutoGen, or similar agent frameworks
• Knowledge of machine learning and deep learning concepts
• Familiarity with cloud platforms (AWS, Azure, GCP)
• Experience with containerization (Docker, Kubernetes)
• Knowledge of natural language processing (NLP) techniques
• Experience with streaming and real-time data processing
• Understanding of AI safety and responsible AI practices
• Experience with MLOps and model deployment pipelines

Mandatory Competencies

• Data & AI - GEN AI - Pandas
• Data & AI - GEN AI - NumPy
• Data & AI - GEN AI - Python
• Data & AI - GEN AI - Cloud Application Integration & Deployment
• Data & AI - GEN AI - Advanced GenAI & Agentic Framework Concepts
• Data & AI - GEN AI - AI Search Index
• Data & AI - GEN AI - Amazon Bedrock
• Data & AI - GEN AI - Azure AI Foundry
• Data & AI - GEN AI - Azure OpenAI Service
• Data & AI - GEN AI - Groq
• 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 - Workflow & Agentic Frameworks (LangChain / LangGraph)
• Data & AI - GEN AI - Prompt Engineering / Vector Databases