Enterprise AI Software Engineer

3 days ago


San Francisco, California, United States Lilt Full time
Job Description

We are seeking an experienced Enterprise AI Software Engineer to join our team at LILT. As a key member of our operations team, you will be responsible for integrating our platform with remote content and translation management systems.

This is a remote contract position in the US, and you will work on importing customer content and exporting translated materials. You'll heavily interact with 3rd party APIs and transform customer data to facilitate translation.

The ideal candidate will have full-stack experience with Java/Python/PHP, expertise in MySQL, and experience working with third-party APIs and client libraries. Additionally, they should have experience integrating with Adobe Experience Manager and building plugins for different Content Management Systems.

Key Responsibilities
  • Design, develop, and implement high-quality connectors to the Adobe Experience Manager (AEM) platform.
  • Apply your engineering experience to implement integrations with different Content and File Management systems.
  • Keep the technical excellence bar high by contributing to code quality, doing code reviews, increasing test coverage, etc.
  • Partner with the product team to decompose huge business requirements into smaller deliverables.
  • Optimize AEM performance by identifying and addressing bottlenecks, improving code efficiency, and implementing caching strategies.
What You'll Do

You will work closely with our sales, product, engineering, and production teams to ensure that our technology is utilized to deliver maximum value to our customers. This is an exciting opportunity to be part of a revolutionary AI solution for enterprise translations.

The estimated salary for this role is $120,000 per year, based on industry standards for similar positions in the US. We offer a competitive compensation package, including benefits and opportunities for professional growth.

Our Story

LILT was founded by Spence and John, who met at Google while working on Google Translate. They assembled a cutting-edge research team to address the need for high-quality machine translations in enterprise products and services.

At LILT, we prioritize investments in Large Language Models, believing that this foundation is essential for the future of enterprise translation. We are committed to fair employment practices and strive to create an inclusive work environment.



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