Project Role: Large Language Model Architect

Project Role Description: Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data.

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 Po Cs 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, Open Telemetry)

Experience:

5+ years in NLP / AI / ML
Proven production deployment of GenAI systems

15 years full time education

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