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
₹3,00,000 - ₹10,00,000 a year
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 energetic, 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.

📌 Generative Ai Engineer (India)
🏢 Weekday`
📍 India