Staff Full Stack Engineer

Indianapolis, IN, US

Job Description / Skills Required

About Engineering at Lilt
Lilt is a high-performance, large-scale language translation system. We invest in and prioritize workflow (i.e., usability and interface design) and backend AI systems. Since the translation workforce is distributed worldwide, there are interesting cloud engineering problems to solve. We have a strong preference for building our own backend technology, so you’ll be implementing and working with the latest natural language processing (NLP) techniques and ideas.

What You’ll Do
As a Staff Fullstack Engineer, UX, you will work with a group of talented, mission-driven colleagues to propose ideas to define, drive, and execute projects on Lilt’s Linguist GUI and App Server–the front door to our translation services. You will enable linguists to deliver truly localized experiences. UX is at the forefront of the company strategy, therefore this is a high-visibility, high-impact role with enormous growth opportunities. 

You must be curious, have attention to detail, be energized by a challenging entrepreneurial environment, be comfortable thinking big while also diving deep, and be open to experimenting and iterating on processes as the company grows.

This position is based out of our Indianapolis, IN office and will be expected to work in the office in a hybrid capacity.

Skills and Experience

  • Bachelor of Science or Masters of Science in Computer Science (Masters preferred) 

  • 5+ years of professional experience as a UX/UI engineer

  • Experience leading an engineering team in a technical capacity (e.g. not a manager of people)

  • Experience working on large-scale, distributed software systems 

  • Experience with, or at least willingness to learn, Node.js and related app server technologies 

  • Proficient in React or other associated libraries, JavaScript, CSS, and HTML

  • Solid relational database knowledge and significant experience with very large MySQL installations are highly valued 

  • Basic knowledge of NLP and machine learning techniques is highly valued

  • Professional fluency in English


Our Story

Lilt is the leading AI solution for enterprise translations. Our stack made up of our Contextual AI Engine, Connector APIs, and Human Adaptive Feedback enable global organizations to adopt a true AI translation strategy, focusing on business outcomes instead of outputs. With Lilt, innovative, category-defining organizations like Intel, ASICS, WalkMe, and Canva are using AI technology to deliver multilingual, digital customer experiences at scale.

As a result, Lilt’s AI technology foundation is similar to ChatGPT and Google Translate, before our patented Contextual AI Engine, connector-first approach, and human-adapted feedback.

Our team is located globally in San Francisco, Berlin, Indianapolis, and London, with hubs located in Washington DC, NYC, Boston, and Dublin.

Authorization to work in the US is a precondition of employment.

Our founders, Spence and John met at Google working on Google Translate.  As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. They were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company and left to start a new company to address this need – Lilt. 

At its core, Lilt has always been a machine learning company since its incorporation on March 6, 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so Lilt assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, Lilt has prioritized investments in Large Language Models, believing that this foundation was imperative to the future of enterprise translation.

Lilt is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.