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 : Python (Programming Language)
Valuable to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
We are looking for an experienced and highly skilled Python + Gen AI Full Stack Engineer with 8–10 years of qualified experience in software engineering, specializing in machine learning, large language models (LLMs), and generative AI technologies. The ideal candidate will possess deep technical expertise in Python front-end and back-end development, end-to-end AI/ML solution design, and large-scale model deployment. The role requires solid problem-solving abilities, architectural vision, and hands-on experience with state-of-the-art Gen AI tools and frameworks.

Roles & Responsibilities:
Design, develop,



and maintain scalable AI-driven applications using Python and front-end technologies.
Architect and implement full-stack solutions integrating LLMs and generative AI capabilities.
Build and fine-tune large language models (OpenAI, Hugging Face Transformers, etc.) for various enterprise applications.
Collaborate with data scientists and product teams to define AI use cases, prototypes, and production-grade deployments.
Integrate APIs and develop microservices to enable LLM-based features in web applications.
Manage model lifecycle, including training, evaluation, versioning, and deployment.
Implement best practices for data preprocessing, vector databases, embeddings, and prompt engineering.
Ensure performance, scalability, and security of AI applications.
9.Stay current with Gen AI trends, research, and emerging tools in the AI/ML ecosystem.
10.Conduct code reviews, mentor junior developers, and contribute to tec

📌 Large Language Model Architect Hyderabad
🏢 Accenture
📍 Hyderabad