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Mid-level GenAI/LLM role in Chennai with common experience band increases competition.
Specialized LLM/GenAI and AWS Bedrock/SageMaker requirements reduce cross-industry transferability.
Mandatory 5–8 years and specific LLM, GenAI, FastAPI, and AWS skills enforce strict filters.
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Develop scalable, production-ready AI solutions using Python, GenAI, LLMs, FastAPI, and Agentic AI.
Leverage AWS Bedrock and Amazon SageMaker for deployment and model management.
Own implementation of prompt engineering and REST API development for AI applications.
5+ years of experience in AI/ML development, specifically with Python and related AI technologies.
Proficiency in GenAI, Large Language Models (LLMs), FastAPI, and Prompt Engineering.
Experience with cloud AI services such as AWS Bedrock and Amazon SageMaker.
Mandatory skills include Python, API development (REST APIs), and TypeScript.
Experienced in building and deploying AI models in production environments, especially on AWS AI platforms.
Comfortable working with advanced AI concepts like Agentic AI and prompt engineering for LLMs.
Skilled in integrating AI models with scalable API services using FastAPI and TypeScript.