workflows (LLMs, RAG, vector search, evaluation loops, safety) Deep systems thinking + ability to simplify complexity...
From our origins in New York in 2002, rag & bone was founded on a belief of uncompromising ideals: a commitment... has become synonymous with our brand. An inclusive environment at rag & bone upholds our original values by encouraging employee connection...
engineering and RAG. Proven track record of building or scaling Solutions/Services teams at high-growth AI or SaaS companies...
for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG...
solutions that span the Salesforce Platform and Marketing Cloud Next, leveraging Agentforce, AI, RAG, and LLMs. This role... implementation and own key components of our advanced AI features, including RAG pipelines and agentic workflows. Mentor junior...
LLMs, RAG pipelines & vector search Architect high-scale cloud systems (AWS/GCP, k8s) Prototype rapidly, ship often.../AI or distributed engineering Deep expertise in at least one: LLM fine-tuning, agent frameworks, RAG/vector DBs Strong Python...
accounts in the Bay Area and West Coast region. The ideal candidate is someone who has built RAG systems for LLMs, Chatbots... in an enterprise setting Experience building and integrating LLMs, with a particular focus on Retrieval-Augmented Generation (RAG...
and frameworks, writing optimized SQL scripts for data transformation and analytics Utilize LLMs, RAG and AI tools like Cursor...
our customers discover products by developing AI agents Adopting reinforcement learning for hyper personalization Building RAG... with AI Agentic systems, LLMs, and RAG architecture Experience working with MCP (Model Context Protocol) Experience using open...
our customers discover products by developing AI agents Adopting reinforcement learning for hyper personalization Building RAG... with AI Agentic systems, LLMs, and RAG architecture Experience working with MCP (Model Context Protocol) Experience using open...
our customers discover products by developing AI agents Adopting reinforcement learning for hyper personalization Building RAG... with AI Agentic systems, LLMs, and RAG architecture Experience working with MCP (Model Context Protocol) Experience using open...
evaluation, A/B testing ✅ Neural architectures expertise: transformers, convolutional networks, training optimization ✅ RAG... ✅ Engineer large language model applications with RAG and AI service integrations ✅ Build discovery and search capabilities...
monitoring. Applied AI/ML Engineering Implement and optimize workflows leveraging LLMs, embeddings, RAG systems, and vector.../TypeScript for integrations. Hands-on knowledge of AI/ML frameworks and tools (OpenAI, Hugging Face, LangChain, vector DBs, RAG...
: data curation, prompt engineering, retrieval-augmented generation (RAG)pipelines, tool use/agents, and fine-tuning (e.g...
for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG...
systems that combine retrieval-augmented generation (RAG), autonomous planning, tool use, and memory for scalable AI Agents...
on: Implement multi-step, tool-using agents that hit real APIs and handle retries, auth, timeouts, and edge cases. Build RAG... pipelines, tool-using bots, scripted assistants, or similar. Hands-on experience with RAG pipelines, agent memory systems...
+ RAG to biomedical or healthcare use cases. Knowledge of multimodal model development (text, omics, imaging...
systems. Implement semantic search, retrieval-augmented generation (RAG), and vector database integrations. Apply prompt... agents. Strong Python engineering skills and familiarity with cloud-native architectures. Practical experience with RAG...
systems for large-scale document processing, metadata extraction, vector search, RAG workflows, and sophisticated asynchronous...-on experience with LLM APIs, vector databases, RAG systems, prompt engineering, and document AI services Data pipeline design...