: Apply advanced prompt engineering techniques and develop custom tooling, retrieval-augmented generation (RAG), and external API..., LangChain, etc.). Agentic System Knowledge: Proven experience implementing agentic systems, including knowledge of RAG, vector...
SDK, LangGraph, or equivalent agent orchestration toolsets. RAG Systems: Experience implementing Retrieval-Augmented... frameworks such as OpenAI Agent SDK or LangGraph. Build RAG workflows including embeddings, indexing, and hybrid search. III...
You Stand Out: Hands-on experience building AI agents (e.g., using LangGraph or LlamaIndex), implementing RAG over enterprise...
AI agents (e.g., using LangChain or LlamaIndex), implementing RAG over enterprise data, and enforcing robust guardrails through...
(OpenAI API, LangChain, RAG pipelines) Knowledge of dbt, Spark, or data processing pipelines Experience with MongoDB...
, and OpenAI. 11. Hands-on experience in developing RAG chatbots to enhance information discovery and search efficiency. 12. Work...
in developing prototypes using RAG concepts, embeddings, and multi-step AI workflows, contributing to solutions that are validated... AI/LLM project, such as: Using OpenAI/Azure OpenAI/Gemini APIs for automation Building a working RAG or embedding-based...
, finance, payroll, billing, or ERP. Experience working with vector stores (Chroma, Weaviate, Pinecone) and RAG architectures...
integrated solutions that leverage the latest technology has to offer including AI/ML, GenAI technology (LLMs, RAG, low-latency... design & development of AI/ML and GenAI integrated solutions with LLMs, RAG, agentic workflows, and conversational...
effective RAG (retrieval-augmented generation) pipelines with robust chunking, embedding model selection, and vector store...