such as Anthropic (Claude), OpenAI, and open‑source models Retrieval‑Augmented Generation (RAG) using vector databases (e.g...
-grade models (LLMs, embeddings, RAG, etc.) Partner with product and engineering teams to ship AI-powered features Champion...
- Experience with retrieval-augmented generation (RAG) and prompt optimization techniques - Familiarity with Salesforce CRM, Data...
RAG patterns with context management and retrieval-augmented reasoning to improve LLM accuracy. Cloud-Native Fullstack...
production-grade RAG systems Knowledge of embedding models and NLP similarity/search systems Familiarity with designing...
, including RAG pipelines and agent-based workflows. Develop and maintain Python-based backend services exposing AI capabilities...-on experience building LLM-based applications, including RAG architectures. Solid understanding of backend systems, APIs...
English and Spanish Practical experience with large language models, prompt engineering, fine-tuning RAG-based applications...
Familiarity with GenAI application architectures (RAG, agents, prompt orchestration, API-based LLM usage) Experience...
Architecture: Build and maintain scalable, high-performance backend services using Python to support AI-driven features. RAG... Implementation: Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to provide agents with accurate, context-aware...
for sales and technical support use cases Implement retrieval-augmented generation (RAG) using embeddings, vector search... AI and Google Vertex AI Experience with embeddings, vector databases, and RAG architectures Manufacturing or industrial domain...