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...
frameworks, RAG (Retrieval-Augmented Generation) architectures, MCP (Model Context Protocol) integrations, and DevOps workflows... — including data preprocessing, supervised fine-tuning, model quantization, evaluation, RAG pipeline design, and deployment using...
search / RAG at scale, evals (Braintrust, LangSmith, custom), prompt caching, MCP servers, structured output / tool-use...
generation (RAG) patterns. Experience with reporting tools is a nice-to-have (Looker) Experience with B2C analytic data...
, Langchain, RAG, capability to understand and build deep learning models on cloud or on premises compute. Data Collection...
-Augmented Generation (RAG) systems. The ideal candidate will have hands-on experience building scalable pipelines..., develop, and deploy advanced AI/ML and RAG-based solutions. Build and maintain custom RAG systems leveraging internal data...
Nice to haves Experience with RAG pipelines and AI content generation workflows Background in edtech or online learning...