New Job! Remote Job
Company

Sr. Full Stack Engineer

About LILT

AI is changing how the world communicates — and LILT is leading that transformation.

We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality.

At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues—Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1—guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we’re building a category-defining company in a $50B+ global translation market being redefined by AI.

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.

Where You’ll Work

This is a contract position based out of Argentina

Authorization to work in Argentina is a precondition of employment.

What You’ll Do

As a Sr. Fullstack Engineer, 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, App Server, and backend systems. You will enable linguists to deliver truly localized experiences. Engineering 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.

Skills and Experience

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

  • 4+ years of professional experience as a Fullstack 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

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

  • Proficiency in node.js required

  • Experience with backend technologies such as Java and Python

  • 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

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. While together at Google, they were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company.The quality just wasn’t there. So they set out to build something better. LILT was born.

LILT has been a machine learning company since its founding in 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, human-in-the-loop systems, and now agentic AI.

With AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.

Our Tech

What sets our platform apart:

  • Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent

  • Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing

  • 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation

  • Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review


LILT in the News

Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy

At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know.

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.


Compensation

$119K – $125K per hour • Offers Equity

Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations.

Do you like this job?