). -User research, analytics, prioritization, and roadmap ownership. -AI/GenAI product development (LLMs, prompts, RAG...
delivery health RAG unblock at risk engagements and intervene early to prevent escalations o Should have executed large scale...
your impact. Continuous Learning: Stay at the absolute bleeding edge of agentic AI. You’ll be expected to understand RAG, fine.... Proven AI Curiosity: Deep passion for AI. You should be someone who plays with LLMs, RAG, and agent frameworks for fun...
solutions Build and implement Agentforce AI agents, prompts, grounding (RAG), and custom agent actions Design and deliver...
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...