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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 The Role
As a Forward Deployed Engineer at LILT, you will be a critical link between our core engineering teams and our most complex and strategic customers. You'll be on the front lines, working directly with a handful of complex clients to understand their unique needs, integrate LILT's platform into their existing workflows, troubleshoot technical challenges, and provide expert guidance. This role requires a strong technical foundation, business acumen, excellent communication and problem-solving skills, and a passion for customer success. You will thrive in a dynamic environment, embracing the opportunity to travel and work collaboratively with diverse teams.
Responsibilities
- Technical Onboarding and Integration: Lead the technical aspects of onboarding new enterprise clients, including system integration, API configuration, and workflow optimization.
- Solution Design and Implementation: Collaborate with Sales, Solutions Architects, and Product teams to design and implement customized LILT solutions that meet specific client requirements, driving their business outcomes.
- On-Site Engineering: Ability to gather requirements, propose a product solution, and implement it via code on-site with customers.
- On-site Support and Training: Provide on-site technical support and training to client teams, ensuring successful adoption and utilization of the LILT platform.
- Troubleshooting and Issue Resolution: Serve as the primary technical point of contact for escalated client issues, diagnosing problems, implementing solutions, and ensuring timely resolution.
- Technical Consultation and Best Practices: Provide expert technical consultation and guidance to clients on how to best leverage LILT's features and capabilities within their environment, focused on addressing complex, enterprise workflows.
- Feedback Loop: Act as a crucial feedback channel, relaying client needs, technical challenges, and product improvement suggestions back to the core Engineering and Product teams.
- Documentation and Knowledge Sharing: Create and maintain comprehensive technical documentation, including integration guides, best practices, and troubleshooting steps. Contribute to internal knowledge sharing initiatives.
- Travel: Be willing and able to travel frequently (up to 25-35%) to client sites globally.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
- 5+ years of experience in a customer-facing technical role such as Solutions Engineer, Sales Engineer, Technical Consultant, or Support Engineer.
- Strong AI knowledge including:
- Understanding of how LLMs are trained and how inference works
- Understanding of batch learning, on-line learning and context windows and how to use them to improve customer value
- Understanding of the trade-offs of inference speed, learnings, model sizes and costs
- Current knowledge of best-in-class AI tools for a variety of workflows including adoption processes and requirements
- Understanding or demonstrated experience using MCP to build agentic workflows
- Strong business acumen and the ability to leverage this skillset to focus customers on accomplishing business outcomes aligned to their growth and efficiency objectives.
- Strong understanding of software integration principles and experience working with APIs (RESTful, SOAP).
- Proficiency in at least one programming or scripting language (e.g., Python, JavaScript).
- Experience with enterprise software deployments and integrations.
- Excellent problem-solving and analytical skills, with the ability to diagnose and resolve complex technical issues.
- Exceptional communication, presentation, and interpersonal skills, with the ability to explain technical concepts to both technical and non-technical audiences.
- Strong customer-centric mindset with a passion for ensuring client success.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
- Experience with translation management systems (TMS) or localization workflows is a plus.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
- Fluency in multiple languages is a plus.
What We Offer
- Competitive salary and benefits package.
- Opportunity to work with cutting-edge AI technology in a rapidly growing industry.
- A dynamic and collaborative work environment.
- Significant opportunities for professional growth and development.
- The chance to make a real impact on global communication and business.
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.


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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 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 https://lilt.com/legal/privacy.
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 at recruiting@lilt.com.
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.
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