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...
. 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...
You Stand Out: Hands-on experience building AI agents (e.g., using LangGraph or LlamaIndex), implementing RAG over enterprise...