dels as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.

Must have skills : Large Language Models (LLMs)

Good to have skills : NA

Minimum 7.5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Role Summary

Own end-to-end NLP & Generative AI solutions from design to production

Build scalable, cloud-native LLM-powered applications on Azure

Key Responsibilities

Develop LLM-based chatbots, RAG systems, and AI assistants

Design data ingestion, preprocessing, and document update pipelines

Implement prompt engineering, embeddings, vector search, and evaluation

Build async REST APIs using FastAPI / Flask

Handle rate limits, retries, load balancing, and fault tolerance for LLM APIs

Deploy, monitor, and scale apps on Azure Cloud

Deliver rapid PoCs and MVPs under tight timelines

Mentor juniors and support team delivery

Must-Have Skills

Python (advanced)

NLP & Generative AI (LLMs, RAG, prompt engineering)

Azure OpenAI / LLM platforms

FastAPI / Flask (async)

Azure Cloud (App Service, Storage, AI Search, Cosmos DB)

CI/CD, logging, monitoring (Jenkins, OpenTelemetry)

Experience

5+ years in NLP / AI / ML

Proven production deployment of GenAI systems

Python, LLM, Prompt engineering, Vector databases, RAG architecture, Agentic libraries(Lang chain/Lang graph/Autogen), Computer Vision, Document Processing

AI / ML Engineer