Activate JobCopilot
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 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.
Your email job alert is now active!
