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Atlas

Founding Applied AI Engineer

San FranciscofulltimemidAdded 1 month ago

About this role

Atlas seeks an Applied AI Engineer to build AI-powered travel and concierge features for their luxury credit card platform. You'll design production AI systems including recommendation engines, RAG-based search, and preference learning tools that serve high-end members. This founding role offers the opportunity to shape next-generation AI products in payments, travel, and dining within a small, well-funded team.

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 travel and hotel searches
  • Develop preference engines that learn and evolve from member interactions
  • Create lightweight AI orchestration layers integrated with Zendesk, Slack, and internal tools
  • Optimize systems for low-latency, high-availability production environments
  • Collaborate with product, design, and operations teams on user-facing AI experiences

What they're looking for

  • 5+ years software development (Python, Node.js, Go, or similar)
  • 3+ years deploying and scaling cloud applications (AWS, GCP)
  • Production LLM integration (OpenAI, Anthropic, Hugging Face)
  • RAG, embeddings, and vector search (Pinecone, FAISS)
  • Database design (Postgres, Redis, vector databases)
  • Low-latency system optimization
  • Product thinking and user experience focus
  • Cross-functional collaboration skills

Benefits

  • Competitive salary and meaningful equity
  • Real impact on luxury travel and payments industry
  • Early-stage environment with minimal bureaucracy
  • Work with high-caliber team from Apple, Shopify, Y Combinator
  • Well-funded with multiple years of runway
  • In-person collaboration in SF FiDi office (3+ days/week)
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Atlas

Atlas builds a luxury credit card platform with AI-powered travel, concierge, and dining features for high-end members. The company is hiring Applied AI Engineers and Web Engineers to develop production AI systems and premium customer-facing interfaces.

View all jobs at Atlas

Likely interview questions

  • Walk us through a production LLM system you've built end-to-end. How did you handle latency, cost, and reliability?
  • Describe your experience with RAG systems — what vector databases have you used, and how did you optimize retrieval quality and speed?
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