Capital One
US - Virginia - Richmond
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Design and build a RAG-backed Content Moderation Knowledge Library and manage the embedding search pipeline for AI generation. Lead Prompt MLOps and develop shared AI content compliance and generation platform APIs across engineering teams.
Requirements: Requires a Bachelor's degree and at least 6 years of software engineering experience, including cloud computing. Preferred qualifications include a Master's degree and extensive experience with Python, RAG systems, and vector search infrastructure.
Key Skills: Python, Retrieval-Augmented Generation (RAG), Large Language Models (LLM), Vector Search, AWS, API Design, MLOps, Prompt Engineering, Software Engineering, Cloud Computing, Knowledge Engineering, System Architecture, OpenSearch, Pinecone, PGvector, Weaviate
Benefits: Health Insurance, Financial Benefits, Performance Based Incentive Compensation, Cash Bonuses, Long Term Incentives
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