and influence technical decisions Hands-on experience building AI agents (e.g., using LangChain or LlamaIndex), implementing RAG...
. Implement RAG-based context grounding so script generation and recommendations use requirements/test assets/defect history...
. Identify opportunities to apply technologies such as large language models (LLMs), retrieval-augmented generation (RAG...
with AI orchestration (AI Core, APIs, external models) Understanding of RAG, LLM integration or conversational UX Hands-on experience...
Automate, Logic Apps, n8n) Familiarity with LLM-based applications and concepts like Retrieval-Augmented Generation (RAG...
and influence technical decisions Hands-on experience building AI agents (e.g., using LangChain or LlamaIndex), implementing RAG...
, and maintainability. Work on LLM-based developer tools, prompt-enabled workflows, conversational search, RAG pipelines, vector databases..., such as LLM-based developer tools, prompt-enabled workflows, semantic search, RAG pipelines, vector databases, MCP-based...
including Agentforce and Data360 Experience with unstructured databases(vector or graph databases) and RAG pipelines...
. Experience with unstructured databases (vector or graph) and RAG pipelines. Experience with modern data platforms: Snowflake...
: AI agents workflow automation systems SaaS platforms Familiarity with: Claude OpenAI APIs vector databases RAG...