Builds AI-powered concierge systems for luxury travel including recommendation flows, RAG for searches, preference engines, and integrations. Requires 3+ years cloud/AI experience with LLMs, vector search, and production systems; hybrid in SF office.
Salary not listed
Hybrid3+ YOEML Engineering
About the role
What You'll Build
AI recommendation and booking flows (hotels, dining, flights)
Retrieval-augmented generation (RAG) systems for dynamic hotel and travel searches
Preference engines that learn and evolve from member interactions
Lightweight AI orchestration layers integrated with Zendesk, Slack, and our internal tools
What We’re Looking For
5+ years experience developing software in modern environments (Python, Node.js, Go, or similar)
3+ years experience deploying and scaling cloud-based applications (AWS, GCP, or similar)
Deep experience integrating LLMs (OpenAI, Anthropic, Hugging Face) and building production AI systems
Knowledge of retrieval-augmented generation (RAG), embeddings, and vector search (Pinecone, FAISS, or similar)
Solid understanding of database design (Postgres, Redis, vector DBs)
Strong optimization skills, especially for low-latency, high-availability systems
Product instincts — you think about the end experience, not just the technical specs
Collaboration skills and a desire to work tightly with product, design, and operations
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