Software Engineer - Generative AI

NielsenIQ; Chennai; Hybride; INR 2 200 000 - 3 800 000; Plein temps

Avantages offerts par ce poste

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Résumé du poste

NielsenIQ is seeking a senior Generative AI engineer for a hybrid role in Chennai. You will design and build scalable AI pipelines, architect modular Angular applications with a microfrontend approach, and deploy on Azure.

You’ll work with LangChain, LangGraph and MCP to deliver production-ready AI solutions, collaborating across teams in a fast-paced environment. Ideal candidates have 3–6 years of AI/ML experience, strong Python skills, and hands-on cloud infrastructure knowledge including AKS

Qualifications

• 3 to 6 years of relevant experience in the below skills.
• Strong proficiency in Python and AI/ML frameworks.
• Hands-on expertise with LangChain, LangGraph, MCP.
• Solid understanding of system design and distributed architectures.
• Experience deploying applications on Azure Cloud.
• Familiarity with observability tools (Coralogix, LangSmith).
• Proficiency with Git for collaborative development.
• Strong knowledge of Angular and microfrontend architecture.
• Ability to thrive in fast-paced environments.
• Experience with LLM fine-tuning and prompt engineering.
• Knowledge of containerization (Docker, Kubernetes).
• Background in MLOps and automated deployment pipelines.
• Prior experience in building enterprise-grade AI + Angular applications.

Responsabilités

• Generative AI Engineering 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 (Coralogix, LangSmith) to monitor and optimize AI systems.
• Collaborate with cross-functional teams to deliver production-ready AI solutions.

Connaissances

Python

Generative AI

LangChain

LangGraph

MCP

Azure

Angular

microfrontend

Distributed systems

Git

Docker

Kubernetes

MLOps

Outils

LangChain

LangGraph

MCP

Docker

Kubernetes

Azure

Git

Description du poste

About the Role

We are seeking a dynamic engineer who can excel in Generative AI systems . This hybrid role involves building scalable AI pipelines while architecting modular Angular applications with microfrontend architecture for enterprise-grade solutions.

Key Responsibilities

• Generative AI Engineering 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 (Coralogix, LangSmith) to monitor and optimize AI systems.
• Collaborate with cross-functional teams to deliver production-ready AI solutions.

Required Skills & Qualifications

• 3 to 6 years of relevant experience in the below skills
• Strong proficiency in Python and AI/ML frameworks.
• Hands-on expertise with LangChain, LangGraph, MCP.
• Solid understanding of system design and distributed architectures.
• Experience deploying applications on Azure Cloud.
• Familiarity with observability tools (Coralogix, LangSmith).
• Proficiency with Git for collaborative development.
• Strong knowledge of Angular and microfrontend architecture.
• Ability to thrive in fast-paced environments.

Preferred Qualifications

• Experience with LLM fine-tuning and prompt engineering.
• Knowledge of containerization (Docker, Kubernetes).
• Background in MLOps and automated deployment pipelines.
• Prior experience in building enterprise-grade AI + Angular applications.

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state‑of‑the‑art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws.

Experience Level Senior Level