An SF based startup is looking to hire a Senior AI Engineer. The role is fully remote. Here's What The Day-to-day Responsibilities Will Look Like - Design and implement conversational AI agents using LLMs Build RAG pipelines to process e-commerce data Optimize prompt engineering for accuracy and cost efficiency Create data ingestion pipelines for various formats (CSV, Excel, APIs) Implement opportunity detection algorithms Ensure system scalability for processing 10,000+ SKUs Collaborate on architecture decisions Here are some key traits that we are looking for - LLM Engineering Experience Previous experience building AI agents Prompt engineering and optimization RAG (Retrieval Augmented Generation) implementation Experience working with LLMs like OpenAI API, Anthropic Claude, or similar Understanding of token optimization and context window management Vector Database & Embeddings Hands-on experience with Pinecone, Weaviate, Qdrant, or pgvector Understanding of embedding models and semantic search Experience with chunking strategies for documents Data Pipeline Experience ETL/data ingestion from CSVs, APIs, databases Data normalization and schema mapping Experience with real-time data processing
An SF based startup is looking to hire a Senior AI Engineer. The role is fully remote. Here's What The Day-to-day Responsibilities Will Look Like - Design and implement conversational AI agents using LLMs Build RAG pipelines to process e-commerce data Optimize prompt engineering for accuracy and cost efficiency Create data ingestion pipelines for various formats (CSV, Excel, APIs) Implement opportunity detection algorithms Ensure system scalability for processing 10,000+ SKUs Collaborate on architecture decisions Here are some key traits that we are looking for - LLM Engineering Experience Previous experience building AI agents Prompt engineering and optimization RAG (Retrieval Augmented Generation) implementation Experience working with LLMs like OpenAI API, Anthropic Claude, or similar Understanding of token optimization and context window management Vector Database & Embeddings Hands-on experience with Pinecone, Weaviate, Qdrant, or pgvector Understanding of embedding models and semantic search Experience with chunking strategies for documents Data Pipeline Experience ETL/data ingestion from CSVs, APIs, databases Data normalization and schema mapping Experience with real-time data processing