RAG patterns with context management and retrieval-augmented reasoning to improve LLM accuracy. Cloud-Native Fullstack...
, including Prometheus and Grafana;- Familiarity with Retrieval-Augmented Generation (RAG) models;- Experience with document...
to balance innovation and technical feasibility. Experience with Retrieval-Augmented Generation (RAG). (Nice to have) Knowledge...
& Architecture (25%)- Contribute to system design discussions and architectural decisions for AI initiatives - Implement RAG... and RAG architecture patterns - RESTful API development and integration experience - Understanding of MLOps practices (Docker...
, Computer Vision, and Predictive Analytics. Implement advanced AI techniques including Agentic Frameworks, LangChain, and RAG... employer. Explore all our job openings | Sequoia Career’s Page: Keywords: AI Engineer, Machine Learning, PyTorch, RAG...
thinking with the ability to balance innovation and technical feasibility. Experience with Retrieval-Augmented Generation (RAG...
that directly impact how people learn at Platzi. Use LLMs, agents, embeddings, RAG, and fine-tuning not just as tools..., retrieval-based architectures (RAG), or data pipelines. Familiarity with frameworks such as LangChain, LlamaIndex...
and deploy GenAI applications using prompt engineering, retrieval-augmented generation (RAG), Agentic Frameworks, and finetuning...
. This role is pivotal in architecting end-to-end AI solutions—leveraging LLMs, RAG pipelines, vector databases, and Rust... databases, RAG pipelines) into production-ready applications;Work deeply in the existing web app codebase, enhancing core...
, and RAG-ready knowledge layers. Project Gating & Authority: Act as the final design authority for all major infrastructure... for the Analysis Auto-Builder Agent, defining retrieval targets and metadata strategies to enable RAG-style workflows...