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AI Engineer

About Flatfile


Flatfile is revolutionizing enterprise data handling through AI automation. We're building an AI-native data mapping, cleaning, and transformation platform that tackles the most stubborn data problems for the world's largest organizations.


What is an "AI Engineer" at Flatfile


You’ll work at the intersection of conventional software engineering and machine learning, focusing on applying AI to solve real-world problems rather than fundamental ML research.


As James Brady from Elicit notes: "If you're a software engineer who relishes the more difficult parts of backend code—like concurrency, fault-tolerance, and distributed systems—you could be a great AI engineer."


This role reports to: Jon Bell, VP of Product


What you'll do

You'll own critical parts of our AI-powered data platform:

• Design and implement robust backend services that integrate with various AI models for data understanding and transformation

• Build fault-tolerant systems that can handle the high latency and variance inherent in working with large language models

• Create streaming architectures for real-time AI processing of customer data

• Develop evaluation frameworks to measure and improve our AI features' accuracy and reliability

• Work closely with our product team to prototype and ship new AI capabilities

• Help learn and establish best practices for AI development at Flatfile

• You’ll also get to write some good old-fashioned code and ship more traditional software features too :)

• Oh, and we all fix bugs


Our tech stack

In this role, you’ll use LangGraph, various LLMs and open source models, React, Typescript, our in-house design system Baseline, Node (Nest.js), Prisma, Postgres, Git, Flatfile’s homegrown data engine, and utilize AI for performance gains on a daily basis.


What you bring to the role

Essential

• Experience building production backend systems

• Strong computer science fundamentals, especially in distributed systems

• Experience handling asynchronous workflows and building resilient services

• Genuine enthusiasm for AI technology and its practical applications

• Track record of shipping customer-facing features


Great to have

• Experience working with LLMs in production environments

• Background in data processing or ETL systems

• Familiarity with AI model deployment and optimization

• Experience with streaming architectures

• Open source contributions to AI/ML tools


What you'll find at Flatfile

• A chance to shape the future of enterprise data automation

• A highly collaborative, fast-paced engineering culture

• Ownership of significant technical challenges and no PM overlords

• The opportunity to work with cutting-edge AI technology

• Competitive compensation and equity

• A team of humble and audacious builders who take pride in their work

In accordance with applicable law, the following represents Flatfile's reasonable estimate of the range of possible compensation for this role if hired in Colorado.


Salary: $180,000 - $220,000 annually

Equity: this role is eligible to participate in Flatfile's equity plan


#LI-Remote

#BI-Remote


Reasons you’ll love working here


🫂 Comprehensive health, vision, and dental insurance for you and your dependents

🏦 401k match. 100% matching for up to 3% and a 50% match for the next 2%

💸 Equity options for all full-time employees

🏠 100% remote work environment

🏖️ Flexible paid time off, with a recommended minimum of 3 weeks

🎨 $10,000 home office makeover with personal access to an interior designer

🛜 $150 per month toward cell phone and wifi

💻 The best tools to do your work, including a Mac laptop and top-of-the-line hardware.

🏥 24/7 access to a Health Advocate & free annual membership to One Medical

👶 12 weeks of paid family leave


And much more!


Flatfile believes a diverse and inclusive environment is key to building a great company. As such, Flatfile is proud to be an Equal Opportunity Employer. We are committed to creating an environment that is welcoming for people from all walks of life; we do not discriminate based on race, color, gender identity, religion, sex, national origin, disability, veteran status, or any other characteristic protected by law. While we have more work to do to advance diversity and inclusion, we are invested in growth that empowers everyone to succeed.

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CEO of Flatfile
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Average salary estimate

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$180000K
$220000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About AI Engineer, Flatfile

Are you ready to join Flatfile as an AI Engineer? At Flatfile, we’re on a mission to transform how enterprises manage and interact with their data using cutting-edge AI technologies. As an AI Engineer, you'll immerse yourself in a vibrant environment where machine learning and software engineering merge to deliver real-world solutions. Your role is crucial—you'll design and implement back-end services that seamlessly integrate with our AI models, focusing on high-impact areas like data understanding and transformation. Picture yourself building robust, fault-tolerant systems tailored for large language models, while also creating real-time streaming architectures for processing customer data. You will collaborate closely with the product team to prototype innovative AI features, all while maintaining best practices for AI development. Your expertise in producing production backend systems and enthusiasm for AI technology will play a significant role in our collective success. Plus, you’ll have the chance to code traditional software features alongside your AI contributions. If you're someone who enjoys tackling complex technical challenges and being part of a dynamic, fast-paced team without micromanagement, Flatfile offers a collaborative culture that values your input. Join us and shape the future of enterprise data automation, benefiting from competitive compensation, equity options, and a fully remote work environment that includes generous benefits. We can’t wait to see what you’ll bring to the team!

Frequently Asked Questions (FAQs) for AI Engineer Role at Flatfile
What are the main responsibilities of an AI Engineer at Flatfile?

As an AI Engineer at Flatfile, you will be responsible for designing and implementing backend services that integrate with AI models focusing on data understanding and transformation. You will build fault-tolerant systems for large language models, create streaming architectures for real-time AI processing, and develop evaluation frameworks to measure the accuracy of AI features. You will also collaborate closely with the product team to prototype new features and establish AI development best practices.

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What qualifications do I need to apply for the AI Engineer position at Flatfile?

To qualify for the AI Engineer role at Flatfile, you should have experience in building production backend systems and strong computer science fundamentals, especially in distributed systems. Familiarity with asynchronous workflows and resilience in systems design is crucial. A genuine enthusiasm for AI technology and its applications is essential, while additional experience with large language models or data processing systems is highly valued.

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What technologies will I work with as an AI Engineer at Flatfile?

In the AI Engineer role at Flatfile, you will work with an array of modern technologies including LangGraph, various large language models (LLMs), React, Typescript, Node (Nest.js), and Postgres. Your work will involve leveraging AI for performance optimization and contributing to Flatfile’s homegrown data engine to enhance enterprise data automation.

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Is prior experience with AI essential for the AI Engineer role at Flatfile?

While direct experience with AI is a significant advantage, the primary requirement for the AI Engineer role at Flatfile is a strong foundation in backend development and a passion for AI technology. It is beneficial to have familiarity with model deployment and optimization, as well as open-source contributions to AI/ML tools.

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How does Flatfile support employee work-life balance for AI Engineers?

Flatfile promotes a healthy work-life balance by offering a fully remote work environment and flexible paid time off, with a recommended minimum of three weeks. Employees also receive a generous $10,000 budget for their home office setup, ensuring that they can work comfortably and productively from anywhere.

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Common Interview Questions for AI Engineer
Can you explain your experience with backend development relevant to the AI Engineer role?

When answering this question, outline your previous roles focusing on backend development, highlighting specific projects where you designed, implemented, and maintained production systems. Discuss technologies you used and any experiences involving concurrency or distributed systems, illustrating how these relate to the responsibilities of an AI Engineer at Flatfile.

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What strategies do you use to ensure the robustness of large-scale systems?

Discuss specific strategies such as implementing fault-tolerance, load balancing, and effective monitoring. Mention any tools you're familiar with that aid in maintaining system reliability. Connecting your answer to real experiences will show the interviewers your practical understanding of system robustness.

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Describe a challenging technical problem you've encountered and how you solved it.

Provide a concise narrative of a specific technical challenge you faced, detailing the context and factors involved. Focus on the steps you took to analyze the issue, the solution you implemented, and the outcomes. This answer not only showcases your problem-solving skills but also your resilience and critical thinking.

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How do you approach working with AI models?

Talk about how you define the problem you’re trying to solve with AI and the steps taken to implement models in production. Emphasize your experience with tuning model performance, testing, and validating AI features, and link your approach to outcomes you achieved, showcasing your practical AI skills.

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What experience do you have manipulating data formats or processing ETL workflows?

Discuss your relevant experience with data transformation, highlighting your familiarity with ETL processes. Give examples of tools you've used and challenges you've faced during data processing tasks, while emphasizing the importance of data quality and integrity in these processes.

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How do you ensure continuous improvement of AI features in your projects?

You should discuss frameworks for regularly evaluating AI feature performance and the importance of user feedback. Mention any metrics or KPIs you consider essential for performance measurement, and your strategies for iterating on features based on these insights.

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Can you discuss your approach to collaborating with product teams?

Highlight your communication strategies, including how you gather requirements and feedback to align technical solutions with product vision. Mention any collaborative tools you use and past experiences where teamwork led to successful project outcomes.

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What do you find most exciting about working with large language models?

Express your passion for LLMs and their potential applications. Discuss technological advancements in the field and provide examples where you believe LLMs have made a significant impact. Connecting your excitement to potential real-world business solutions will resonate with the interviewers.

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How do you handle bug fixes and technical debt in your projects?

Explain your process for prioritizing and addressing bugs, as well as strategies to manage technical debt. Illustrate your commitment to writing clean, maintainable code and emphasize the importance of addressing unexpected issues for ongoing system reliability.

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What do you see as the future of AI in enterprise data handling?

Share your perspective on the evolving role of AI in managing enterprise data, discussing trends such as automation, enhanced data accuracy, and the ethical considerations of AI deployment. Your insights will demonstrate forward-thinking and an understanding of potential industry shifts.

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To remove barriers between humans and data.

9 jobs
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BENEFITS & PERKS
Dental Insurance
Flexible Spending Account (FSA)
Health Savings Account (HSA)
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Full-time, remote
DATE POSTED
February 19, 2025

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