GenAI Software Engineer: AI Pipelines & Azure

NielsenIQ; Indiana; Hybrid; USD 13,000 - 25,000; Full time

Benefits offered by this job

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Job summary

NielsenIQ in Chennai is seeking a Software Engineer (GenAI) to help build Generative AI systems and modular Angular applications using a microfrontend approach. This hybrid role emphasizes scalable AI pipelines and enterprise-grade solutions.

You will work with LangChain, LangGraph, MCP, and Azure Cloud to deploy AI workloads, while collaborating with cross-functional teams to deliver production-ready AI solutions in a fast-paced environment.

Qualifications

• 3–6 years of relevant AI/ML experience.
• Strong Python proficiency and AI/ML frameworks.
• Hands-on with LangChain, LangGraph, MCP.
• Experience deploying on Azure Cloud.
• Knowledge of observability tools (Coralogix, LangSmith).

Responsibilities

• Design and implement AI-driven applications using LangChain, LangGraph, MCP.
• Develop and optimize Python pipelines for generative AI models.
• Architect scalable distributed systems with strong system design principles.
• Deploy and manage AI workloads on Azure Cloud (AKS, Functions, App Services).
• Integrate observability tools to monitor and optimize AI systems.
• Collaborate with cross-functional teams to deliver production-ready AI solutions.

Skills

Python

LangChain

LangGraph

MCP

System design

Angular

microfrontend

Git

fast-paced environments

Tools

Azure Cloud

Docker

Kubernetes

Coralogix

LangSmith

Job description

NielsenIQ in Chennai is seeking a Software Engineer (GenAI) to help build Generative AI systems and modular Angular applications using a microfrontend approach. This hybrid role emphasizes scalable AI pipelines and enterprise-grade solutions.

You will work with LangChain, LangGraph, MCP, and Azure Cloud to deploy AI workloads, while collaborating with cross-functional teams to deliver production-ready AI solutions in a fast-paced environment.