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Applied AI Engineer

Atlas

San Francisco (CA)

Hybrid

USD 120,000 - 180,000

Full time

17 days ago

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Job summary

Join a forward-thinking company as an applied AI engineer, where you'll leverage your expertise to develop AI-powered tools that enhance the lifestyle of discerning individuals. This role offers the unique opportunity to work on innovative solutions in dining, travel, and payments. Collaborate with a small, dynamic team dedicated to making a significant impact while enjoying a fun and impactful work environment. With competitive compensation and a focus on collaboration, this position is perfect for those looking to shape the future of concierge services.

Benefits

Competitive equity compensation
Flexible work environment
Collaborative team culture

Qualifications

  • 5+ years in client/server software development with various programming languages.
  • 3+ years developing cloud-based software on major platforms.

Responsibilities

  • Develop AI-powered concierge tools to enhance user experience.
  • Solve real problems in dining, travel, and payments.

Skills

Client/Server Software Development
Dynamically Typed Languages (Node, Ruby, Python)
Statically Typed Languages (Java, C, C++)
Cloud-Based Software Development (AWS, GCP, Azure)
Prompt Engineering and LLM/AI API Integration
Data Modeling in Relational Databases (SQL)
Optimization and Performance Profiling
Collaboration Skills

Job description

About

Atlas is a concierge and credit card that unlocks coveted access and enables seamless spending. Our cardmembers are discerning, busy individuals who rely on Atlas to deliver convenience across their lifestyle while ensuring their spending power is both reliable and effortless. In just 12 months, we’ve scaled to over $X00,000,000 in spending volume, growing double digits monthly—organically, with no paid marketing.

We are backed by world-class investors and have multiple years of runway. Our team brings experience from building and launching iconic products and companies like Apple, Robinhood, and DoorDash.

We’re a small team of around 35 people based between NYC and SF. We value in-person collaboration and expect you to join us in the office.

The Role

We’re looking for an applied AI engineer to help us build the future of Atlas. You’ll work on our next-gen AI-powered concierge, creating tools (i.e., recommendations, concierge request automation, etc.) that make life easier for some of the most influential people in the world. This role involves solving real problems in dining, travel, and payments while improving outdated systems. It’s a chance to make a big impact on a small team shaping a product people genuinely love.

This role is based in our SF office (FiDi), with an expectation of at least three days per week in person.

What We’re Looking For

We believe passionate and determined people can excel with any tech stack. In an ideal world, you check these boxes:

  • 5+ years developing client/server software in dynamically typed languages (Node, Ruby, Python), statically typed languages (Java, C, C++), or other modern environments (Go, Rust, Elixir, etc.).

  • 3+ years developing cloud-based software on AWS, GCP, Azure, etc.

  • Strong prompt engineering and chaining knowledge with LLM/AI API integration experience.

  • Knowledge of data modeling in relational databases (SQL) and vector databases.

  • Understanding of optimization and performance profiling, especially in data ingestion and responses.

  • Solid collaboration skills and the ability to work well with product, design, and other cross-functional teams.

Why You’ll Love Working Here
  • It’s fun: Where else can you work on advanced tech solving problems in travel, dining, and payments?

  • It’s impactful: We’re the primary payment method for discerning and notable individuals.

  • It’s early: We’re well-funded, lean, and growing, with a small team of around 20 people.

  • The team: You’ll join a group of creative, accomplished, and ambitious people.

  • Compensation: Our lean structure allows us to offer competitive equity and cash compensation.

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