7 months ago
Responsibilities
- Design and ship AI-powered recommendation and booking flows for hotels, dining, and flights.
- Build retrieval-augmented generation 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.
- Help define Atlas’s AI-powered travel, payments, and lifestyle product direction.
Requirements
- At least 5 years of experience developing software in modern environments using Python, Node.js, Go, or similar technologies.
- At least 3 years of experience deploying and scaling cloud-based applications using AWS, GCP, or similar platforms.
- Deep experience integrating LLMs, including OpenAI, Anthropic, or Hugging Face, and building production AI systems.
- Knowledge of retrieval-augmented generation, embeddings, and vector search technologies such as Pinecone or FAISS.
- Solid understanding of database design, including Postgres, Redis, and vector databases.
- Strong optimization skills for low-latency, high-availability systems.
- Product instincts focused on the end-user experience.
- Ability and desire to collaborate closely with product, design, and operations.
Benefits
- In-person collaboration with at least three days per week in the San Francisco FiDi office
- Opportunity to work on high-impact, user-facing AI products in a lean, well-funded early-stage company
- Collaboration with experienced teammates from companies including Shopify, Apple, Robinhood, DoorDash, and Y Combinator startups
Tech Stack
Categories
About Atlas
Atlas builds a concierge charge card and spend-management platform with travel, dining, and lifestyle services for high‑net‑worth individuals, families, and select companies. The business earns from card spend and membership fees while providing curated service via its in‑house team. Founded in 2023 and headquartered in San Francisco, it is backed by Y Combinator and Valar Ventures and has reached hundreds of millions of dollars in member spend volume.