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Architect and develop GenAI-powered applications using Large Language Models (LLMs) and advanced Retrieval-Augmented Generation (RAG) pipelines.
Design and implement semantic search systems using vector databases for contextual information retrieval.
Integrate and fine-tune LLMs such as OpenAI, Anthropic, Amazon Bedrock, and HuggingFace for domain-specific applications.
Develop evaluation frameworks to measure LLM output quality including relevancy, accuracy, and summarization.
Build scalable APIs and microservices to support GenAI applications.
Collaborate with product, domain, and platform teams to develop enterprise GenAI solutions.
Implement secure, scalable deployments using containerization and cloud infrastructure.
Continuously monitor, evaluate, and improve GenAI models and systems.
Job ID: 144041955