Ready to apply? Let us help you stand out.
About the role
Ironclad is the #1 contract lifecycle management platform for innovative companies. Every company, in every country, in every industry runs on contracts, but managing these contracts slows companies down and costs them millions of dollars. L’Oréal, Staples, Mastercard, and other leading innovators use Ironclad to collaborate and negotiate on contracts, accelerate contracting while maintaining compliance, and turn contracts into critical carriers of operational business intelligence. It’s the only platform flexible enough to handle every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA.
Ironclad is writing the narrative that shows how beautiful and functional contracting will change business. We’re a leader in the Forrester Wave for Contract Lifecycle Management. We have been recognized as a Fortune Great Place to Work for four consecutive years. Our innovation and work culture have been recognized by Glassdoor's Best Places to Work 2023, Forbes’ 50 Most Promising AI Companies, Wing Venture Capital's Enterprise Tech 30, and Gartner's Magic Quadrant. We’re backed by leading investors like Accel, Y Combinator, Sequoia, and BOND. For more information, visit www.ironcladapp.com or follow us on LinkedIn and Twitter.
Ironclad is looking for a Senior AI Engineer to join our team and help revolutionize the way legal teams handle contracts. As a Senior AI Engineer at Ironclad, you will have the opportunity to work with the latest cutting-edge technologies, including the HuggingFace framework, the OpenAI APIs, and more. You will leverage these to build state-of-the-art models and services that extract valuable information from contracts and provide insights to our customers.
You will work closely with other teams, including design and product, to build new features in our app that enable our customers to handle contracts more efficiently and effectively. You will also collaborate with data engineering to build datasets that are used to train machine learning models.
As a , you will play a critical role in building an AI platform that can serve fast predictions and scale to support high throughput and multiple models. You will explore the latest models and AI techniques, including generative AI, question and answering, visual understanding, and more.
