As an Applied AI Software Engineer at Flatfile, you will be at the forefront of automating data handling for enterprises. You will be one of the earliest members of our Applied AI team working to develop an AI-native data mapping, cleaning, and transformation experience for the world’s largest firms, automating the most stubborn data problems. Your work will contribute directly to creating industry-leading AI agents.

We are not exclusively looking for people who have been an Applied AI engineer in the past; if you are truly passionate about the problem space and spend your time consuming, learning and applying AI, we’d love to hear from you.

This role reports to: Jon Bell, VP of Product

This role may be listed at other companies as:

• Principal Software Engineer

• Machine Learning Engineer

• AI/ML Systems Engineer

In this role, you will:

• Develop a roadmap of meaningful applications of AI/ML for our customers––including optimizing our existing AI-powered features like Mapping and Transform.
• Evaluate, build, fine-tune, and train AI/ML models for data import, mapping, cleaning, and transformation.
• Research, design, train, and deploy AI agents that streamline data handling operations, reducing manual intervention.
• Work closely with product engineers to develop new AI-powered features that solve important problems for our customers and feel like a magical experience.
• Monitor and improve model performance over time through rigorous evaluation.
• Optimize our Zero-trust AI approach for high performance and data privacy.
• Drive projects from conception to production launch independently and as a leader of other product contributors.
• Research novel AI techniques and strategies that create magical customer experiences.




If this sounds like a fun challenge, let’s define the Data Exchange category together!

You'll likely thrive in this role if you:

• Have extensive prior experience building and maintaining production machine learning-powered product experience.
• Hands-on experience fine-tuning and deploying open-source AI models.
• Have prior experience building and iterating on enterprise-scale data systems
• Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done
• Have the ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
• Have a voracious and intrinsic desire to learn. And an equally strong talent for sharing that information clearly and concisely with others

Consider applying if:

• Experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering
• Deep knowledge of a high-level programming language (for example, Python, Perl, etc.), but it doesn’t need to be a language that we use here! Great people are effective and learn what we use quickly (or introduce us to better ways of working)
• Advanced education in CS, ML, Math, Stats, or similar preferred
• Experience with model fine-tuning, distilling, and optimization
• Passion for prototyping AI-powered features
• Strong problem-solving skills and ability to prioritize effectively
• Experience collaborating directly with product teams and designers and a proven track record of delivering value to customers or users. Engineers at Flatfile are pragmatists who work closely with others on cross-disciplinary teams and have a strong sense of product strategy.

While many Engineering roles are similar, Flatfile’s Engineering roles are unique. With that in mind, you should pass on applying if:

• You don’t enjoy teaching others; this role will be one that is going to spearhead multiple new aspects of our business. We will look to you to share your knowledge and passion with AI with the rest of the company.
• You don’t want to decide on the best-paved road to build for Flatfile and expect a lead or manager to make the final call on what that is. Our leads (and managers) give plenty of commentary and feedback on decisions and how they’re made, but you ship what you want to build and are accountable for it.
• You refrain from engaging in or find it challenging to handle debates about the future state of products; we need someone who can have an opinion yet remain open-minded.
• You would prefer to avoid challenging the status quo or pushing the boundaries of technical possibilities, as this role demands continuous learning and adaptation to new technologies.
• You’ve never worked in a fast-paced environment. We move quickly. And a lot of places say that, but trust us, we really do. If you’re one who gets frustrated when priorities change rapidly, we’re not the place for you.

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.

Staff Engineer Salary: $185,000 - $200,000 annually

Principal Engineer Salary: $205,000 - $225,000 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.