Job Description

This role is for one of our clients

Industry: Technology, Information and Media
Seniority level: Associate level

Min Experience: 2 years
Location: Remote (India)
JobType: full-time

About the Role

We're on the lookout for a driven

Generative AI Engineer

with hands-on experience in natural language processing and large language models. In this role, you'll be at the forefront of shaping conversational AI experiences--chatbots, intelligent reporting agents, campaign QAs--within a dynamic, data-driven advertising platform.
You'll get to work with state-of-the-art frameworks like

LangGraph

,

LangChain

,

OpenAI APIs

, and

Hugging Face Transformers

, helping us design smarter, more human-like interfaces that power decisions, insights, and automation for marketing teams.

What You'll Do

Build and deploy generative AI applications using

LLMs

, including GPT-series models, with frameworks like

LangChain

,

LangGraph

, and

Hugging Face

.
Develop AI agents for use cases like campaign QA, performance analytics, and intelligent prompt-based reporting assistants.
Create and integrate backend chatbot layers using

Python

and

Django

(or Flask/FastAPI), ensuring seamless integration with the platform UI.
Design and maintain scalable NLP pipelines with a focus on

latency

,

cost-efficiency

, and

robust performance

.
Collaborate closely with data scientists, product managers, and marketing ops to refine AI use cases and deploy production-ready solutions.
Monitor AI model behavior, run evaluations, and ensure fairness, consistency, and quality across outputs.
Maintain technical documentation, testing workflows, and API contracts.

What You Bring

Experience

: Minimum 2 years working in NLP or generative AI, preferably on customer-facing applications.

Core Skills

:
Proficient in

Python

Hands-on with

LangChain

,

LangGraph

,

OpenAI APIs

, and

Hugging Face

Solid understanding of LLM architecture, prompt design, fine-tuning, and inference

Backend Development

: Proven experience building chatbot services or interactive tools using

Django

,

Flask

, or equivalent frameworks.

Software Engineering Best Practices

: Clean, modular code with unit tests, version control, and documentation.

Team Fit

: Strong written and verbal communication; proactive in cross-functional collaboration.

Nice-to-Have

Background in

programmatic advertising

,

DSPs

, or

marketing automation

.
Experience with cloud infrastructure (AWS/GCP/Azure) for hosting and scaling AI workloads.
Familiarity with

Docker

,

Kubernetes

, or

MLOps

pipelines for model deployment and maintenance.