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NEXTMOVEFDE careers · United States

Founding Applied AI Engineer

AI summary of the role

Founding applied AI engineer to build an AI-powered travel and hotel concierge for a premium charge card and concierge service.

What you’ll do

  • Design and ship AI recommendation and booking flows for hotels, dining, and flights
  • Build retrieval-augmented generation (RAG) systems for dynamic hotel and travel searches
  • Develop preference engines that learn and evolve from member interactions
  • Create lightweight AI orchestration layers integrated with Zendesk, Slack, and internal tools

What you’ll bring

  • 5+ years software development in Python, Node.js, Go, or similar
  • 3+ years 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 RAG, embeddings, and vector search (Pinecone, FAISS, or similar)

Technologies

Python · Node.js · Go · AWS · GCP · OpenAI · Anthropic · Hugging Face · Pinecone · FAISS · Postgres · Redis

About Atlas

Members-only concierge and charge card monetizing curated access to dining, travel, and lifestyle for high-spend individuals.

Series B · 50–200 people

Source and classification

Production engineering · Evidence for this classification:

week. The Role We’re looking for an applied AI engineer to help us build the next generation of Atlas — starting with an AI-powered travel and hotel concierge used by some of the most influential people in the world. You’ll design and ship real-world AI systems that personalize recommendations, automate complex requests, and rethink how payments, dining, and travel can work at the highest level. This is a rare opportunity to work on meaningful, user-facing AI products inside a small, world-class team. 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 We believe determined and passionate
How jobs are selected

Employer postings · Data from · Sources