-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...
. Strong experience with LLM ecosystems (e.g., OpenAI APIs), multi-agent architectures, retrieval-augmented generation (RAG...
. Strong experience with LLM ecosystems (e.g., OpenAI APIs), multi-agent architectures, retrieval-augmented generation (RAG...
You Stand Out: Hands-on experience building AI agents (e.g., using LangGraph or LlamaIndex), implementing RAG over enterprise...
on production applications using Python and Next.js (TypeScript) Integrate LLMs, RAG pipelines, and other AI tools into end-to-end...
consumed by multiple independent teams Practical RAG and information retrieval experience with vector databases, retrieval...
You Stand Out: Hands-on experience building AI agents (e.g., using LangGraph or LlamaIndex), implementing RAG over enterprise...
. Refine content for conversational interfaces (RAG-based chatbots) by implementing semantic tagging and maintaining content...