and integrate Generative AI workflows such as Retrieval-Augmented Generation (RAG), embedding pipelines, semantic search, and LLM...
, prompt engineering, RAG architectures, and production-ready AI deployment. Key Responsibilities: Develop and optimize... Design and implement RAG (Retrieval-Augmented Generation) pipelines and semantic search solutions Develop APIs...
, retrieval-augmented generation (RAG), multi-agent workflows, and structured output generation. Builds and maintains...
propia). Experiencia con RAG, embeddings y bases vectoriales (pgvector, Pinecone u otros). Diseño de evaluación y monitoreo...
or tooling. (prefer) Familiarity with concepts such as prompting, basic evaluation, or simple RAG patterns. Academic, personal...
and structured outputs. Retrieval & Knowledge Systems: Implement RAG pipelines using vector databases and search technologies (e.g... automation platform (n8n, Make, Zapier, or similar) and building reliable integrations. Familiarity with RAG fundamentals...
pipelines. Implement prompt engineering strategies and retrieval-augmented generation (RAG) systems. Monitor AI systems.... Familiarity with vector databases, embeddings, and RAG architectures. Experience with cloud platforms such as AWS, Azure...
-augmented generation (RAG) systems. Monitor AI systems, troubleshoot issues, and continuously improve model accuracy... deploying machine learning models into production environments. Familiarity with vector databases, embeddings, and RAG...
environments Experience or strong interest in AI/LLM security, including prompt injection, RAG risks, insecure integrations...
. Experience with unstructured databases (vector or graph) and RAG pipelines. Experience with modern data platforms: Snowflake...