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Applied AI Engineer

About

Atlas is the 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 This role is about solving real problems in dining, travel, and payments while improving outdated systems.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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What You Should Know About Applied AI Engineer, Atlas

Are you ready to supercharge your career as an Applied AI Engineer at Atlas in San Francisco? At Atlas, we pride ourselves on being more than just a concierge and credit card service—we're revolutionizing the way the most influential individuals navigate their spending. In our tight-knit team of 35, you’ll have the opportunity to build next-gen AI tools that enhance the lives of our cardmembers, ensuring their experiences in dining, travel, and payments are nothing short of remarkable. In this role, you'll rely on your 5+ years of experience developing client/server software, utilizing your expertise in both dynamically and statically typed languages such as Python, Java, or Go. You'll dive into the world of cloud-based software on platforms like AWS and work closely with cross-functional teams to bring innovative solutions to life. We're on a mission to transform outdated systems with cutting-edge AI technology, addressing real-world challenges faced by our customers. Imagine the thrill of solving complex problems and delivering seamless recommendations tailored to our users' needs! We value collaboration and creativity, so if you’re passionate about making a significant impact, we want to hear from you. This is a unique chance to grow alongside an industry leader backed by top-tier investors and be part of something special as we embark on this exciting journey together. Join us in our SF office at least three days a week, and let's shape the future of Atlas together.

Frequently Asked Questions (FAQs) for Applied AI Engineer Role at Atlas
What are the primary responsibilities of an Applied AI Engineer at Atlas?

As an Applied AI Engineer at Atlas, your main responsibilities will include developing AI-powered tools that streamline concierge services, automate request processes, and enhance user experiences in dining, travel, and payments. Your work will focus on solving real-world problems by leveraging your programming expertise and understanding of cloud technologies to optimize our platforms, ensuring they are efficient and user-friendly.

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What qualifications are required for the Applied AI Engineer position at Atlas?

To qualify for the Applied AI Engineer role at Atlas, candidates should have at least 5 years of experience in developing client/server software using various programming languages, and 3 years of experience in cloud-based software development on platforms such as AWS, GCP, or Azure. A strong understanding of prompt engineering, data modeling in relational and vector databases, as well as optimization techniques is highly desirable.

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Can I work remotely as an Applied AI Engineer with Atlas?

Atlas encourages in-person collaboration to foster team dynamics and creativity. As an Applied AI Engineer, you’re expected to work at least three days a week in our San Francisco office, giving you the chance to collaborate closely with your team members while contributing to exciting projects.

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What makes the Applied AI Engineer role at Atlas unique?

The Applied AI Engineer role at Atlas stands out due to the opportunity to work on advanced technology that addresses the specific needs of high-profile individuals. You will be challenged to innovate and improve outdated systems while making a direct impact on how people manage their lifestyle needs, making it a highly fulfilling position.

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What is the company culture like at Atlas for an Applied AI Engineer?

At Atlas, the culture is vibrant and focused on collaboration among a small, dedicated team. We value creativity, determination, and innovation, providing an environment where you can thrive and bring your ideas to life. Our passionate workforce, comprised of individuals with experience from leading brands, ensures that every day will be both fun and impactful.

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Common Interview Questions for Applied AI Engineer
What programming languages are you most comfortable working with as an Applied AI Engineer?

When answering this question, share specific programming languages you've worked with, focusing on both your strengths and any relevant projects or achievements. Highlight how your experience aligns with the requirements of the Applied AI Engineer role at Atlas.

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Can you describe a challenging AI project you've worked on?

In your response, illustrate a specific challenge you faced in an AI project, detailing your approach to solving it. Emphasize the tools and techniques you employed, and how this experience has prepared you for the Applied AI Engineer role at Atlas.

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How familiar are you with cloud platforms like AWS, GCP, or Azure?

Discuss your experience working with cloud platforms, emphasizing any specific projects where you've utilized these technologies. Be sure to mention any relevant certifications or achievements that demonstrate your expertise.

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What is your experience with prompt engineering and LLM integrations?

Share your familiarity with prompt engineering and any projects where you've implemented LLM integrations. Explain how you approached these tasks and the impact they had on your previous projects.

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How do you approach collaboration with product and design teams?

Explain your strategy for working with cross-functional teams. Provide examples of successful collaborations, emphasizing how your communication skills and technical understanding contributed to achieving project goals.

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What strategies do you employ for performance profiling in your software?

Discuss the techniques you use for performance profiling, including any tools or methodologies you prefer. Provide examples of how you applied these strategies successfully in past projects.

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Can you explain your experience with data modeling?

When asked about data modeling, detail your experience with both relational databases and vector databases. Share specific scenarios where your modeling skills contributed to the success of a project.

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What measures do you take to ensure software security and reliability?

Outline your knowledge of software security best practices and give examples of how you've applied these in previous roles. Emphasize your commitment to developing reliable and secure systems as an Applied AI Engineer.

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How do you stay updated with industry trends and advancements in AI?

Share the resources or methods you use to keep up with the rapidly evolving field of AI, such as relevant publications, online courses, webinars, or attending industry conferences. Highlight the importance of continuous learning in your professional development.

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What excites you about the prospect of working at Atlas?

In your response, focus on the unique aspects of Atlas that attract you to the company. Mention the innovative projects, the company culture, or the opportunity to make an impact on high-profile clientele, and how these elements align with your career aspirations.

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Full-time, hybrid
DATE POSTED
April 23, 2025

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