Distyl AI develops production-grade AI systems to power core operational workflows for the Fortune 500. Working in partnership with OpenAI, Distyl brings deep expertise in enterprise AI, and technical investments that support the development of production-grade AI systems with rapid time-to-value.
Led by proven leaders from top companies like Palantir and Apple, the Distyl team utilizes strategic partnerships, software accelerators, and enterprise AI expertise to deliver customized AI products that meet customers’ operational needs within a quarter.
Distyl is VC backed by Coatue, Dell Technologies Capital, leaders like Nat Friedman (Former CEO of Github) and Brad Gerstner (Founder and CEO of Altimeter), and board members of over a dozen F500s.
What We Are Looking For: At Distyl we’re deploying production LLM systems for our F500 clients largest workflows. This requires exceptional engineers who are going to push the boundaries of what is possible with LLM solutions.
Lead AI Engineers at Distyl operate as the CTO of an engagement with a F500 customer, taking ownership of the project’s technical direction. They have a vision for the future and aren’t afraid to pitch bold ideas to F500 Enterprise Architects. From there, they lead a team of engineers to fundamentally transform how their customer operates. Always looking to grow, they’re driven by a passion for mastering their craft and excited to take on leadership roles that shape the future of AI.

QUALIFICATIONS:

• Exceptional Software Engineering Skills: AI’s rapid evolution means code written today might not be useful tomorrow. We need engineers who know how to design and write stable, maintainable, and secure systems that are able to evolve. We use Python but are open to strong experience in other languages.
• Experience with AI Systems: You should know how to build a RAG system, done prompt engineering, and know the difference between precision and recall. While you’ll partner with our Research Team to design these systems, you must be able to do the work to drive a POC to a production grade AI tool.
• Strong Communication and Organizational Ability: As the project technical lead, you will own relationships with customer technical teams, develop a plan with Distyl’s Project Leads, and work with the rest of the engineering team to deliver.
• Understanding of Enterprise Cloud Architectures: Our systems are deployed into our customer’s environments, often into complex hybrid cloud environments. Our business is won on our Lead AI Engineer’s abillity to be trusted by customer enterprise architecture teams.
• Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.

• Develop Production Grade AI Systems: For many of our customers we are their only successful GenAI project (and not for the lack of trying). This is because our AI Engineers are experts at understanding how to use software to tame the complexity of AI. They understand power and limits of both AI and Software and build systems which bring the best of both.
• Own End to End Delivery of Custom AI Solutions: Lead AI Engineers are responsible for architecting the solution, partnering with customer engineers to deploy into the customer’s environment, and then ensure the system operates as intended.
• Earn Our Customer’s Trust: AI’s power has yet to be fully realized, but there are already a lot of broken promises. All Distillers are customer facing and our engineers are responsible for making sure our promises are kept. You will partner with our AI strategists and researchers to devise a solution, present it customer enterprise architects, and then educate them on how our system works.