Senior Software Engineer, Connectors (Part time)

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.

The Operations Team at LILT

LILT’s operations team focuses on onboarding and post-sales engineering for enterprise and mid-market customers, who use our AI technology for their multilingual content requirements.  Our team engages with customers from post-sales through steady-state production and is made up of experts in various functional and technical areas of LILT’s overall offering.  While we work in various locations, we are highly collaborative within the team and have tight interactions with our colleagues in the LILT Sales, Product, Engineering, and Production teams.  Additionally, we operate as critical members of account-based teams that ensure LILT’s technology is utilized to deliver maximum value to our customers.  While we’re at it, we have fun and enjoy the ride together.

Where You’ll Work

This is a part time contract position based remotely out of Argentina or Taiwan.

Authorization to work in Argentina or Taiwan is a precondition of employment.

What You’ll Do

We're looking for an experienced post-sales engineer with a localization background who loves solving hard problems, ensuring work is done on time to keep the customer experience seamless, and interacting with a variety of stakeholders. This position is for someone who has strong technical aptitude, extensive customer-facing experience, and the ability to manage competing priorities from multiple customers at once.

You will work hand-in-hand with Sales, Product, Engineering, Services, and Marketing teams to bring our platform to clients and prospects. You will be responsible for providing the technical expertise to make LILT customers successful.  You will have a broad range of skills and experience ranging from global content management lifecycle, a working knowledge of NLP/MT, TM, glossary, and content pipelines and integrations.  You will have the insight to make the connection between a customer’s specific business problems and LILT's solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation.

Key Responsibilities:

• Debug, resolve, or escalate issues related to LILT’s Connector stack, file filters, and the Okapi Framework.

• Assist with resolving customer pre- and post-processing challenges, including localization file prep.

• Collaborate with production teams to implement technology-enabled workflows and set up LILT Connectors and file filters.

• Continuously improve and suggest improvements to internal and customer localization engineering processes.

• Document customer configurations and playbooks for common operating procedures. 

• Facilitate a feedback loop between customer needs and the engineering team.

• Collaborate with colleagues across the company as the point-of-contact for the localization engineering team.

• Meet Service Level Agreements (SLAs) and Key Performance Indicators (KPIs) for customer engineering tasks. 

Skills and Experience:

• At least 3+ years of experience in a localization-engineering role

• Understanding of XLIFF, TMX, TBX, and SRX formats (purpose, structure, specifications)

• Familiarity with key localization terms (source, target, translation unit, etc.)

• Knowledge of localization (l10n) and internationalization (i18n) best practices

• Knowledge of common file formats (JSON, XML, HTML, CSV, PO, YAML, STRINGS, RESX, PROPERTIES) including syntax and escaping

• Exposure to translation tools (TMX editors, alignment software, diffing software, OCR software)

• Proficiency in RegEx for text processing tasks (pattern matching, extraction, manipulation)

• Understanding of encoding standards and character sets

• Familiarity with Okapi Framework (Rainbow, components, concepts)

• Knowledge of localization platforms/technologies (CAT, TMS, TM, MT, LMS, CMS, LLM)

• Coding skills (Python for scripting, Java for Okapi Framework)

• Understanding of software development principles and APIs

• Familiarity with version control systems (Git)

• Excellent communication and interpersonal skills

• Problem-solving skills and ability to analyze issues

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

• Featured in The Software Report’s Top 100 Software Companies!

• LILT makes it onto the Inc. 5000 List.

• LILT’s continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry.

• Check out all our news on our website.

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.