Entrylevel Retrieval Augmented Generation Jobs in Lansdowne, PA

Design and implement Retrieval-Augmented Generation (RAG) (RAG) pipelines. * Configure and manage open-source vector databases such as Qdrant, Chroma, Milvus, or pgvector. * Generate and manage ...

Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions * Hands-on experience with LangChain or similar AI orchestration frameworks * Experience with AWS services such as:

RAG (Retrieval-Augmented Generation) pipelines * Vector databases * Agentic AI workflows * AI orchestration frameworks * Model serving and inference

Have prior knowledge & hands on Experience with - Building production-ready AI services and APIs using Python LLM integration Prompt engineering frameworks RAG (Retrieval-Augmented Generation ...

... Retrieval-Augmented Generation (RAG) pipelines Experience generating and managing embeddings and metadata filtering Security & Governance Understanding of data privacy, air-gapped deployments, and ...

... Retrieval-Augmented Generation (RAG) pipelines Experience generating and managing embeddings and metadata filtering Security & Governance Understanding of data privacy, air-gapped deployments, and ...

... Retrieval-Augmented Generation (RAG) pipelines Experience generating and managing embeddings and metadata filtering Security & Governance Understanding of data privacy, air-gapped deployments, and ...

Your work will involve techniques such as fine-tuning, retrieval-augmented generation (RAG), and prompt engineering to solve meaningful business challenges. You will work closely with teams to ...

Your work will involve techniques such as fine-tuning, retrieval-augmented generation (RAG), and prompt engineering to solve meaningful business challenges. You will work closely with teams to ...

... Retrieval-Augmented Generation (RAG) pipelines • Experience generating and managing embeddings and metadata filtering Security & Governance: • Understanding of data privacy, air-gapped ...

Implement Retrieval-Augmented Generation (RAG) pipelines * Design and integrate vector database solutions for efficient semantic search * Perform model quantization and performance tuning for CPU ...

Strong understanding of prompt engineering, retrieval-augmented generation (RAG), and fine-tuning techniques such as LoRA. * Experience with AI application development, preferably integrating APIs or ...

Develop retrieval-augmented generation (RAG) systems that connect AI models with trusted scientific and scholarly content. * Create intelligent capabilities for search, ranking, recommendation ...

Develop retrieval-augmented generation (RAG) systems that connect AI models with trusted scientific and scholarly content. * Create intelligent capabilities for search, ranking, recommendation ...

Develop retrieval-augmented generation (RAG) systems that connect AI models with trusted scientific and scholarly content. * Create intelligent capabilities for search, ranking, recommendation ...

Develop retrieval-augmented generation (RAG) systems that connect AI models with trusted scientific and scholarly content. * Create intelligent capabilities for search, ranking, recommendation ...

Experience with large language model (LLM) architectures, prompt engineering, retrieval-augmented generation (RAG), semantic search, vector databases, and agentic AI patterns. * Hands-on experience ...

Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...

Experience building retrieval-augmented generation workflows and managing retrieval quality for analytics use cases. * Exposure to semantic layer patterns and governed metrics/definitions in ...

Experience building retrieval-augmented generation workflows and managing retrieval quality for analytics use cases. * Exposure to semantic layer patterns and governed metrics/definitions in ...