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Founding Applied AI Engineer

Atlas is the concierge and credit card built for those who expect more, unlocking coveted access across dining, travel, and lifestyle.
Machine Learning
Senior Software Engineer
Hybrid
11 - 50 Employees
5+ years of experience
AI · Finance · Travel

Description For Founding Applied AI Engineer

Atlas is revolutionizing the luxury concierge and credit card space with AI-powered solutions. As a Founding Applied AI Engineer, you'll be at the forefront of building next-generation AI systems that power personalized recommendations and automate complex requests for some of the most influential people in the world.

The company has achieved remarkable growth, processing over $100M+ in spending volume within just 12 months, growing double-digits month-over-month organically. Backed by world-class investors with multiple years of runway, Atlas brings together expertise from iconic companies like Apple, Robinhood, and DoorDash.

This role offers a unique opportunity to shape how AI transforms luxury travel, payments, and experiences. You'll be working on meaningful, user-facing AI products within a small, world-class team of about 35 people split between New York and San Francisco. The position requires hybrid work with at least three days in the SF office.

Key responsibilities include designing AI recommendation systems for hotels, dining, and flights, implementing retrieval-augmented generation (RAG) systems, and building preference engines that evolve with member interactions. The ideal candidate brings 5+ years of software development experience, strong AI/ML expertise, and a track record of building production systems with modern technologies like Python, Node.js, or Go.

The role offers competitive compensation, meaningful equity, and the chance to work alongside creative, high-caliber teammates. You'll have real impact in a fast-moving, well-funded startup environment, helping define the future of luxury travel and payments technology.

Last updated a day ago

Responsibilities For Founding Applied AI Engineer

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

Requirements For Founding Applied AI Engineer

Python
Node.js
Go
PostgreSQL
Redis
  • 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
  • Solid understanding of database design (Postgres, Redis, vector DBs)
  • Strong optimization skills, especially for low-latency, high-availability systems
  • Product instincts
  • Collaboration skills

Benefits For Founding Applied AI Engineer

Equity
  • Competitive salary
  • Meaningful equity
  • In-person collaboration in SF office (FiDi)
  • Work with high-caliber teammates from companies like Shopify, Apple, Y Combinator startups

Interested in this job?

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