Staff Full Stack Engineer
2 days ago
LILT is a pioneering AI solution for enterprise translations, empowering global organizations to adopt a true AI translation strategy.
Our Contextual AI Engine, Connector APIs, and Human Adaptive Feedback enable seamless integration with existing workflows, ensuring hyper-accurate, business-focused results.
With LILT, innovative organizations like Intel, ASICS, WalkMe, and Canva leverage AI technology to deliver multilingual, digital customer experiences at scale.
Our patented Contextual AI Engine goes beyond basic translations, understanding the nuance of our customer's content and target audience.
Our connector-first approach ensures continuous improvement, making LILT a constantly evolving AI partner for your global ambitions.
Engineering at LiltLilt is a high-performance, large-scale language translation system. We invest in and prioritize workflow 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 techniques and ideas.
What You'll DoAs a Staff Full Stack 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, making this a high-visibility, high-impact role with enormous growth opportunities.
Requirements- Bachelor of Science or Masters of Science in Computer Science (Masters preferred)
- TS/SCI Clearance a plus (Not mandatory), but willingness to obtain and maintain
- 4+ years of professional experience as a Full Stack engineer
- Experience leading an engineering team in a technical capacity
- Experience working on large-scale, distributed software systems
- Proficient in React or other associated libraries, JavaScript, CSS, and HTML
- 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
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