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<h3>Job Description</h3>
Job DescriptionAbout the Company
Our client is a profitable Enterprise SaaS company specializing in data privacy governance, data security, consent management, and regulatory compliance solutions for enterprises. Their innovative patented Hybrid AI technology ensures seamless compliance with GDPR, CCPA, and other privacy regulations, while providing unified consent and preference management APIs for efficient data handling across multiple channels. With a proven product-market fit and Fortune 100 customers, the company is at the forefront of shaping the future of data privacy and AI-driven compliance.
<ul>
<li>
Office Location: Falls Church, VA or Greenville, DE (company-paid relocation is available)
</li>
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Product: Data Privacy Governance, Data Security &amp; Protection, Consent Management, GDPR, CCPA, Compliance
</li>
</ul>
The Mission
Our client's mission is to contribute to a better society by advocating for proper data protection legislation, responsibly safeguarding customer data, preserving individual privacy rights, and enhancing trust between businesses and consumers through greater transparency. As a technical lead, you will play a critical role in driving the engineering vision and delivering impactful products that address evolving privacy and security challenges.
The Opportunity
We are seeking a dedicated Manual QA Tester to join our client's engineering team. This role offers a unique opportunity to work in a dynamic startup environment where the founders and the majority of team members are engineers.
What You'll Do
<ul>
<li>
Conduct manual QA software testing for web applications
</li>
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Utilize Jira for project management and issue tracking
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<li>
Collaborate with a diverse team of engineers and other professionals
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Contribute to the development and improvement of data privacy and security solutions
</li>
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Adapt quickly to new challenges in a fast-paced startup environment
</li>
<li>
Provide feedback and actively participate in company life
</li>
</ul>
What You Bring
<ul>
<li>
At least 2 years of hands-on experience in manual QA software testing, specifically with web applications
</li>
<li>
A bachelor's degree in a related field, or an equivalent combination of relevant technical certifications and working experience&nbsp;
</li>
<li>
Proficiency in using Jira for bug tracking and project management
</li>
<li>
Familiarity with software development lifecycles and testing methodologies
</li>
<li>
Basic understanding of web technologies (HTML, CSS, JavaScript)
</li>
<li>
Ideally, fluency in Russian or Ukrainian languages, enabling effective communication across diverse teams
</li>
<li>
Ability to work hybrid, 3 days per week from the office in Falls Church, VA or Greenville, DE
</li>
</ul>
Key Success Drivers
<ul>
<li>
Strong attention to detail and commitment to quality
</li>
<li>
High ethical standards, honesty, and transparency
</li>
<li>
Proactive problem-solving approach and energetic attitude
</li>
<li>
Comfort in adapting quickly in a fast-paced startup environment
</li>
<li>
Willingness to learn and grow within the company and commitment to long-term employment
</li>
</ul>
Why Join?
<ul>
<li>
Employment Type: Full-time
</li>
<li>
Base Compensation: $50,000-$70,000 per year (negotiable depending on your experience)
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Comprehensive medical benefits: 100% company-paid medical, dental, and vision coverage for employees and 50% for families
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401(k) plan with a match program
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Company-paid life insurance coverage
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Company-paid relocation (negotiable)&nbsp;
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Tuition reimbursement, corporate events, and performance-based bonuses
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Collaborative company culture and supportive, inclusive environment for all employees&nbsp;
</li>
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Work-life balance with a hybrid schedule 3 days per week and paid vacation
</li>
<li>
Proven product-market fit with Fortune 100 customers
</li>
<li>
Career growth opportunities
</li>
<li>
Impactful work that shapes the future of data privacy and AI
</li>
</ul>
Interviewing Process
<ul>
<li>
HR Screening
</li>
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Stage 1: 30-min phone interview with the Founder/CEO (General fit)
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Stage 2: On-site interview in the office (Skills Assessment)
</li>
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Reference and Background Checks: conducted after successful interviews
</li>
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Job Offer: provided to the selected candidate
</li>
</ul>
We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.
Compensation Range: $50K - $70K

Manual QA (AI & Data Privacy)

<h3>Job Description</h3>
Job DescriptionAbout the Company
Our client is a leading AI infrastructure provider operating a full-stack cloud platform designed for intensive AI workloads. The company features proprietary hardware and software architecture, including servers, racks, and data center designs. They're building comprehensive infrastructure for the global AI industry with large-scale GPU clusters and developer tools.
The Mission
Democratize access to cutting-edge AI infrastructure that accelerates global AI innovation at speed and scale, empowering builders worldwide.
The Opportunity
As the GTM Leader, you'll shape market positioning for Financial Services solutions, including cloud infrastructure, virtualization, and NVIDIA-powered platforms. This is a unique opportunity to lead GTM efforts across banks, asset managers, insurers, and fintechs within a well-funded, rapidly scaling organization.
What You'll Do
<ul>
<li>
Lead GTM strategy for the Financial Services vertical with enterprise-ready cloud and AI solutions
</li>
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Target customer segments including banking, insurance, asset management, and fintech
</li>
<li>
Build distribution strategies with product, engineering, and industry experts
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<li>
Drive early-stage sales from prospecting through deal structuring and onboarding
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<li>
Develop positioning, messaging, and GTM assets with cross-functional teams
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<li>
Build ecosystem partnerships with NVIDIA, fintechs, consultancies, and VCs
</li>
<li>
Represent the company at financial industry events and thought leadership forums
</li>
<li>
Lead hiring and mentorship for GTM-facing roles as the vertical grows
</li>
</ul>
What You Bring
<ul>
<li>
GTM or product leadership experience in financial services, cloud/AI infrastructure, or fintech
</li>
<li>
Proven success launching new products or verticals from scratch with founder-like ownership
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Strong sales and stakeholder engagement skills with senior decision-makers
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Strategic partnership experience (e.g., NVIDIA or similar platforms)
</li>
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Familiarity with AI/ML infrastructure (LLMs, RAG, vector DBs, NLP)
</li>
<li>
Knowledge of enterprise sales cycles and financial services compliance expectations
</li>
<li>
Bonus: experience in trading, fraud, or risk tech; understanding of GLBA, FFIEC, FINRA, MiFID II; deep network in FSI
</li>
</ul>
Key Success Drivers
<ul>
<li>
Executive presence with healthy assertiveness and collaborative leadership
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Curiosity and insight into enterprise AI infrastructure and financial applications
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<li>
Comfort operating in a high-growth, less-structured environment
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Cross-functional alignment and innovation mindset
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<li>
Professional maturity and transparent communication
</li>
</ul>
Why Join?
<ul>
<li>
Competitive compensation ranging from $180,000 to $300,000 per year (base salary plus performance bonuses and RSUs)
</li>
<li>
100% company-paid medical, dental, vision for employees and families
</li>
<li>
Flexible remote work environment
</li>
<li>
401(k) with 4% match, disability/life insurance
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<li>
20 weeks parental leave (primary), 12 weeks (secondary)
</li>
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Up to $85/month for mobile and internet
</li>
<li>
Opportunity to work with cutting-edge AI and cloud technologies
</li>
<li>
Contribute to sustainable AI infrastructure with energy-efficient data centers
</li>
<li>
Be part of a team that operates one of the most powerful commercially available supercomputers
</li>
</ul>
Interviewing Process
<ul>
<li>
HR Screening
</li>
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Level 1: Hiring Manager interview (General fit)
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Level 2: Interview with Head of Product (In-depth)
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Level 3: Interview with Head of Sales (In-depth)
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Level 4: Case Study
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Reference and Background Checks: conducted after successful interviews
</li>
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Job Offer: provided to the selected candidate
</li>
</ul>
We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.
Compensation Range: $180K - $300K

GTM Lead, Financial Services AI (AI Infra)

<h3>Job Description</h3>
Job DescriptionLILT in the News
<ul>
<li>
List #52 in The Software Report’s Top 100 Software Companies!
</li>
<li>
LILT makes it onto the Inc. 5000 List.
</li>
<li>
AI Day Spring 2025 Webinar "Revolutionizing Content with AI Agents."
</li>
<li>
LILT's co-founder John Denero, and employees Joern Wuebker and Thomas Zenkel, were approved for U.S. Patent for their neural word alignment process, significantly advances machine translation by preserving formatting accuracy.
</li>
<li>
Check out all our news on our website.
</li>
</ul>
About LILT
LILT was founded by Spence and John, who met at Google working on Google Translate and saw the need for better AI-powered translation in the enterprise. Since 2015, LILT has focused on building cutting-edge language technology, investing early in Large Language Models to improve translation quality and meet the demands of global organizations.
Today, LILT’s Contextual AI Engine, Connector APIs, and Human Adaptive Feedback deliver accurate, nuanced translation across text, video, and speech in 100+ languages. Integrated with 100+ business systems, LILT helps enterprises scale global growth and deliver seamless multilingual experiences. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. LILT is backed by visionary investors including Intel Capital, Sequoia Capital, and Redpoint.
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:
<ul>
<li>
Technical Onboarding and Integration: Lead the technical aspects of onboarding new enterprise clients, including system integration, API configuration, and workflow optimization.
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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.
</li>
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On-Site Engineering: Ability to gather requirements, propose a product solution, and implement it via code on-site with customers.
</li>
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On-site Support and Training: Provide on-site technical support and training to client teams, ensuring successful adoption and utilization of the LILT platform.
</li>
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Troubleshooting and Issue Resolution: Serve as the primary technical point of contact for escalated client issues, diagnosing problems, implementing solutions, and ensuring timely resolution.
</li>
<li>
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.
</li>
<li>
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.
</li>
<li>
Documentation and Knowledge Sharing: Create and maintain comprehensive technical documentation, including integration guides, best practices, and troubleshooting steps. Contribute to internal knowledge sharing initiatives.
</li>
<li>
Travel: Be willing and able to travel frequently (up to 50-75%) to client sites globally.
</li>
</ul>
Qualifications:
<ul>
<li>
Bachelor's degree in Computer Science, Engineering, or a related technical field.
</li>
<li>
2+ years of experience in a customer-facing technical role such as Solutions Engineer, Sales Engineer, Technical Consultant, or Support Engineer.
</li>
<li>
Strong AI knowledge including an:
<ul>
<li>
Understanding of how LLMs are trained and how inference works
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<li>
Understanding of batch learning, on-line learning and context windows and how to use them to improve customer value
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Understanding of the trade-offs of inference speed, learnings, model sizes and costs
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<li>
Current knowledge of best-in-class AI tools for a variety of workflows including adoption processes and requirements
</li>
<li>
Understanding or demonstrated experiencing using MCP to build agentic workflows
</li>
</ul>
</li>
<li>
Strong business acumen and the ability to leverage this skillset to focus customers on accomplishing business outcomes aligned to their growth and efficiency objectives.
</li>
<li>
Strong understanding of software integration principles and experience working with APIs (RESTful, SOAP).
</li>
<li>
Proficiency in at least one programming or scripting language (e.g., Python, JavaScript).
</li>
<li>
Experience with enterprise software deployments and integrations.
</li>
<li>
Excellent problem-solving and analytical skills, with the ability to diagnose and resolve complex technical issues.
</li>
<li>
Exceptional communication, presentation, and interpersonal skills, with the ability to explain technical concepts to both technical and non-technical audiences.
</li>
<li>
Strong customer-centric mindset with a passion for ensuring client success.
</li>
<li>
Ability to work independently and manage multiple priorities in a fast-paced environment.
</li>
<li>
Experience with translation management systems (TMS) or localization workflows is a plus.
</li>
<li>
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
</li>
<li>
Fluency in multiple languages is a plus.
</li>
</ul>
What We Offer:
<ul>
<li>
Competitive salary and benefits package.
</li>
<li>
Opportunity to work with cutting-edge AI technology in a rapidly growing industry.
</li>
<li>
A dynamic and collaborative work environment.
</li>
<li>
Significant opportunities for professional growth and development.
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<li>
The chance to make a real impact on global communication and business.
</li>
</ul>
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 <a href="https://lilt.com/legal/privacy" target="_blank">https://lilt.com/legal/privacy</a>.
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 or require accommodations related to the use of AI in our hiring process, please let us know at <a href="mailto:recruiting@lilt.com" target="_blank">recruiting@lilt.com</a>.
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 Range: $100K - $175K

Forward Deployed Engineer

<h3>Job Description</h3>
Job Description
List of accepted countries and locations
Help train large-language models (LLMs) to write production-grade code across a wide range of programming languages:
<ul>
<li>
Compare &amp; rank multiple code snippets, explaining which is best and why.
</li>
<li>
Repair &amp; refactor AI-generated code for correctness, efficiency, and style.
</li>
<li>
Inject feedback (ratings, edits, test results) into the RLHF pipeline and keep it running smoothly. End result: the model learns to propose, critique, and improve code the way you do.
</li>
</ul>
RLHF in one line Generate code ➜ expert engineers rank, edit, and justify ➜ convert that feedback into reward signals ➜ reinforcement learning tunes the model toward code you’d actually ship.
What You’ll Need
<ul>
<li>
4+ years of professional software engineering experience in Python (Constraint programming experience is a bonus, but not required)
</li>
<li>
Strong code-review instincts—you can spot logic errors, performance traps, and security issues quickly.
</li>
<li>
Extreme attention to detail and excellent written communication skills. Much of this role involves explaining why one approach is better than another. This cannot be overstated.
</li>
<li>
You enjoy reading documentation and language specs and thrive in an asynchronous, low-oversight environment.
</li>
</ul>
What You Don’t Need
<ul>
<li>
No prior RLHF (Reinforcement Learning with Human Feedback) or AI training experience.
</li>
<li>
No deep machine learning knowledge. If you can review and critique code clearly, we’ll teach you the rest.
</li>
</ul>
Tech Stack
We are looking for engineers with a strong command of Python.
Logistics
<ul>
<li>
Location: Fully remote — work from anywhere
</li>
<li>
Compensation: From $30/hr to $70/hr, depending on location and seniority 
</li>
<li>
Hours: Minimum 15 hrs/week, up to 40 hrs/week available
</li>
<li>
Engagement: 1099 contract
</li>
</ul>
Straightforward impact, zero fluff. If this sounds like a fit, apply here!

Software Engineer, AI (Python)

<h3>Job Description</h3>
Job Description
List of accepted countries and locations
Help train large-language models (LLMs) to write production-grade code across a wide range of programming languages:
<ul>
<li>
Compare &amp; rank multiple code snippets, explaining which is best and why.
</li>
<li>
Repair &amp; refactor AI-generated code for correctness, efficiency, and style.
</li>
<li>
Inject feedback (ratings, edits, test results) into the RLHF pipeline and keep it running smoothly. End result: the model learns to propose, critique, and improve code the way you do.
</li>
</ul>
RLHF in one line Generate code ➜ expert engineers rank, edit, and justify ➜ convert that feedback into reward signals ➜ reinforcement learning tunes the model toward code you’d actually ship.
What You’ll Need
<ul>
<li>
4+ years of professional software engineering experience in Java (Constraint programming experience is a bonus, but not required)
</li>
<li>
Strong code-review instincts—you can spot logic errors, performance traps, and security issues quickly.
</li>
<li>
Extreme attention to detail and excellent written communication skills. Much of this role involves explaining why one approach is better than another. This cannot be overstated.
</li>
<li>
You enjoy reading documentation and language specs and thrive in an asynchronous, low-oversight environment.
</li>
</ul>
What You Don’t Need
<ul>
<li>
No prior RLHF (Reinforcement Learning with Human Feedback) or AI training experience.
</li>
<li>
No deep machine learning knowledge. If you can review and critique code clearly, we’ll teach you the rest.
</li>
</ul>
Tech Stack
We are looking for engineers with a strong command of Java.
Logistics
<ul>
<li>
Location: Fully remote — work from anywhere
</li>
<li>
Compensation: From $30/hr to $70/hr, depending on location and seniority 
</li>
<li>
Hours: Minimum 15 hrs/week, up to 40 hrs/week available
</li>
<li>
Engagement: 1099 contract
</li>
</ul>
Straightforward impact, zero fluff. If this sounds like a fit, apply here!

Java Software Engineer, AI

<h3>Job Description</h3>
Job DescriptionAbout the Company
Our client is a leading technology company specializing in AI-centric cloud infrastructure, which is reshaping the landscape of artificial intelligence. The company operates one of the most powerful commercially available supercomputers and provides scalable AI cloud infrastructure optimized for AI/ML workloads, leveraging thousands of NVIDIA GPUs, high-performance InfiniBand networking, and managed Kubernetes or Slurm orchestration. Their platform supports AI developers and enterprises requiring large-scale GPU compute power and sustainable, energy-efficient data centers.
The Mission
To democratize access to high-performance AI infrastructure by delivering innovative, scalable, and sustainable cloud solutions that empower AI developers and enterprises worldwide to accelerate their AI and machine learning workloads with unparalleled efficiency and reliability.
The Opportunity
We are seeking a Senior Network Engineer to join our client’s infrastructure team. This role is critical in ensuring the smooth and stable operation of the company’s large-scale data center networks and global backbone. You will design, develop, and maintain advanced network architectures supporting thousands of server ports and GPU cluster interconnects, contributing directly to the company’s mission of delivering cutting-edge AI cloud services. This is a remote US-based role requiring frequent travel to data center sites, as well as the ability to work European time zone hours and collaborate with international teams.
What You'll Do
<ul>
<li>
Ensure stable operation of data center infrastructure, points of presence, and global backbone networks
</li>
<li>
Design and develop large-scale data center networks, including InfiniBand-based GPU cluster interconnects
</li>
<li>
Develop and maintain monitoring and automation tools to improve network operations
</li>
<li>
Provide technical design, operational support, and collaborate cross-functionally with R&amp;D, SRE, ITDC, and network development teams
</li>
<li>
Lead and support major network infrastructure upgrades and new region launches
</li>
<li>
Liaise with vendors for troubleshooting and network infrastructure testing
</li>
<li>
Maintain comprehensive network documentation and testing plans
</li>
<li>
Participate in on-call rotations and travel 2-3 times monthly to sites in New Jersey, Kansas City, and occasionally Amsterdam
</li>
<li>
Work European time zone hours and coordinate with global teams
</li>
</ul>
What You Bring
<ul>
<li>
At least 5 years of experience working in large, complex technology environments
</li>
<li>
Proven ability to manage and support critical infrastructure serving large user bases
</li>
<li>
Strong analytical and troubleshooting skills for resolving complex network issues
</li>
<li>
Hands-on, proactive approach to maintaining and improving network systems
</li>
<li>
Self-motivated and able to work independently while contributing to a high-performing team
</li>
<li>
Excellent communication skills with experience collaborating across diverse teams and cultures
</li>
<li>
Ability to travel domestically and internationally 2-3 times monthly
</li>
<li>
Legal authorization to work full-time in the U.S. without visa sponsorship
</li>
</ul>
Preferred Technical Skills
<ul>
<li>
Networking Certifications: CCNP, CCIE, JNCIE, or equivalent expert-level qualifications
</li>
<li>
Routing &amp; Switching: BGP, IS-IS, Segment Routing MPLS (with IPv6), Ethernet switching, VXLAN, ECMP, L3 MPLS VPNs
</li>
<li>
Data Center &amp; Cloud Networking: Troubleshooting TCP/IPv4/IPv6 in complex data center topologies (e.g., CLOS networks), cloud overlay network technologies, software-defined networking (SDN)
</li>
<li>
Vendor Ecosystem: Hands-on experience with Juniper, Arista, and Mellanox network equipment
</li>
<li>
Cloud Platforms: AWS, Azure, Google Cloud
</li>
<li>
Bonus: Knowledge of GPU and Infiniband networking
</li>
<li>
Bonus: Programming skills in Python or Go for network automation
</li>
<li>
Bonus: Experience working in Linux environments
</li>
</ul>
Key Success Drivers
<ul>
<li>
Passion for staying current with HPC and AI infrastructure domains
</li>
<li>
Commitment to maintaining the highest standards of network reliability and performance in environments where milliseconds matter
</li>
<li>
Comfort working with international teams and adapting to different operational requirements across global data center locations
</li>
<li>
Drive to expand technical expertise in cutting-edge areas like GPU networking, software-defined infrastructure, and cloud-native networking
</li>
</ul>
Why Join?
<ul>
<li>
Competitive base salary ranging from $115,000 to $145,000 per year plus quarterly performance bonuses
</li>
<li>
100% company-paid medical, dental, and vision insurance for employees and families
</li>
<li>
401(k) plan with up to 4% company match and immediate vesting
</li>
<li>
Generous parental leave (20 weeks primary, 12 weeks secondary caregivers)
</li>
<li>
Remote work reimbursement up to $85/month for mobile and internet
</li>
<li>
Travel allowance and support for frequent business travel
</li>
<li>
Company-paid short-term, long-term disability, and life insurance
</li>
<li>
Work with a team operating one of the world’s most powerful supercomputers
</li>
<li>
Contribute to sustainable AI infrastructure with energy-efficient data centers that reuse waste heat
</li>
<li>
Enjoy a culture that blends startup innovation with the resources of an established company
</li>
</ul>
Interviewing Process:
<ul>
<li>
HR Screening + Candidate Survey
</li>
<li>
Level 1: Interview with the Hiring Manager
</li>
<li>
Level 2: Internal Routing Skills Interview
</li>
<li>
Level 3: External Routing Skills Interview
</li>
<li>
Level 4: Automation Skills Interview&nbsp;
</li>
<li>
Reference and Background Checks: Conducted after the successful completion of all interview stages
</li>
<li>
Job Offer: Extended to the selected candidate following successful checks
</li>
</ul>
We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.
Compensation Range: $115K - $145K

Sr Network Engineer (AI Cloud)

<h3>Job Description</h3>
Job DescriptionLILT in the News
<ul>
<li>
List #52 in The Software Report’s Top 100 Software Companies!
</li>
<li>
LILT makes it onto the Inc. 5000 List.
</li>
<li>
AI Day Spring 2025 Webinar "Revolutionizing Content with AI Agents."
</li>
<li>
LILT's co-founder John Denero, and employees Joern Wuebker and Thomas Zenkel, were approved for U.S. Patent for their neural word alignment process, significantly advances machine translation by preserving formatting accuracy.
</li>
<li>
Check out all our news on our website.
</li>
</ul>
About LILT
LILT was founded by Spence and John, who met at Google working on Google Translate and saw the need for better AI-powered translation in the enterprise. Since 2015, LILT has focused on building cutting-edge language technology, investing early in Large Language Models to improve translation quality and meet the demands of global organizations.
Today, LILT’s Contextual AI Engine, Connector APIs, and Human Adaptive Feedback deliver accurate, nuanced translation across text, video, and speech in 100+ languages. Integrated with 100+ business systems, LILT helps enterprises scale global growth and deliver seamless multilingual experiences. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. LILT is backed by visionary investors including Intel Capital, Sequoia Capital, and Redpoint.
The Engineering Team 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
Get the best of both worlds at LILT! Dive into dynamic in-office energy 2 days a week, sparking creativity and forging bonds with your awesome team. Then, seamlessly shift gears and crush your to-do list from the comfort of your home base for the rest of the week. It's the perfect harmony of productivity and personal freedom. Want a peek inside? Visit our Careers page!
This position is based out of our Washington D.C metropolitan area Virginia, (or Annapolis Junction, MD) where you will start as fully remote and then transition to hybrid once offices are opened in this location. Fully remote applicants will also be considered.
What You’ll Do
Lilt is seeking a world-class devops engineer to build highly reliable software systems at Lilt. Your job will be to apply your software talents to our infrastructure and operations needs, including bare-metal Linux deployments and commercial deployments in GCP and AWS. Our system requires low latency worldwide, so you’ll continuously improve our multi-region configuration, and help us expand into new regions. You will collaborate with the rest of the engineering team to support new and on-going products.
This position is based out of our Washington D.C. hub where you will start as fully remote and then transition to hybrid once an office is opened.
Key Responsibilities:
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Support technical operations in our development and production systems
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Deliver infrastructure engineering projects to support company initiatives
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Collaborate with our research and development teams to deliver software fast and reliably
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Secure our platform infrastructure and harden our on-premise builds
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Ensure high uptime and fast, multi-regional server and DB performance for the lilt.com production system
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Work with engineering teams to set, measure, and reach SLIs and SLOs for SLAs
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Contribute to infrastructure and engineering roadmap planning, set and attain quarterly OKRs
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Execute on the roadmap in sprints, and adhere to SCRUM best practices
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Introduce and implement new technologies and best practices in InfoSec, DevOps and Site Reliability
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Support our self-managed customers on-site
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Skills and Experience:
The candidate is required to have and maintain an active TS/SCI security clearance with polygraph and to satisfy other security-related requirements.
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Minimum 3 years experience as Linux System Administrator, DevOps Engineer or similar position.
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Strong knowledge of at least one scripting language (e.g. Python, Bash).
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High proficiency with at least one configuration management/infrastructure as code (IaC) tool, preferably Terraform.
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Experience with GCP services such as Compute Engine, shared VPC, and data analytics or equivalents from other vendors.
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Solid understanding of Docker and hands-on experience with orchestration frameworks like Kubernetes or Swarm.
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Expertise in monitoring/alerting and maintaining high production availability
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Experience with CI/CD tools and concepts, such as Jenkins&nbsp;
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Preferred, but not required: Experience in DevSecOps best practices, MLOps, GCP Landzone and/or DB administration
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U.S. citizenship is a precondition of employment.
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The candidate is required to have and maintain an active TS/SCI security clearance with polygraph and to satisfy other security-related requirements.
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Benefits
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Compensation: Competitive salary, meaningful equity, 401(k) matching, and flexible time off plus company holidays.
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Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, and more. In addition, Lilt pays for basic life insurance, short-term disability, and long-term disability.
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Paid parental leave is provided after 6 months.
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Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle.
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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 <a href="https://lilt.com/legal/privacy" target="_blank">https://lilt.com/legal/privacy</a>.
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 or require accommodations related to the use of AI in our hiring process, please let us know at <a href="mailto:recruiting@lilt.com" target="_blank">recruiting@lilt.com</a>.
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.

Staff DevOps Engineer (Security Clearance Required)

<h3>Job Description</h3>
Job DescriptionAbout the Company
Our client is at the forefront of the AI revolution, providing cutting-edge infrastructure that's reshaping the landscape of artificial intelligence. They offer an AI-centric cloud platform that empowers Fortune 500 companies, top-tier innovative startups, and AI researchers to drive breakthroughs in AI. This publicly traded company is committed to building full-stack infrastructure to service the explosive growth of the global AI industry, including large-scale GPU clusters, cloud platforms, tools, and services for developers.
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Company Type: Publicly traded 
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Product: AI-centric GPU cloud platform &amp; infrastructure for training AI models
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Candidate Location: Remote anywhere in the US
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Their mission is to democratize access to world-class AI infrastructure, enabling organizations of all sizes to turn bold AI ambitions into reality. At the core of their success is a culture that celebrates creativity, embraces challenges, and thrives on collaboration.
The Opportunity
We are seeking a Cloud Solutions Architect (Pre-Sales) to join our client's team. This role offers an exciting opportunity to work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs, and contribute to one of the most powerful commercially available supercomputers.
What You'll Do
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Act as a trusted advisor to clients, providing technical expertise and guidance throughout engagements
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Conduct PoCs, workshops, presentations, and training sessions on GPU cloud technologies and best practices
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Collaborate with clients to understand their business requirements and develop solution architectures
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Design and document Infrastructure as Code solutions, technical documentation, and how-tos
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Help customers optimize pipeline performance and scalability
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Serve as a single point of expertise for customer scenarios across product, technical support, and marketing teams
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Assist with marketing efforts during events such as hackathons, conferences, and webinars
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 What You Bring
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5+ years of experience as a cloud solutions architect, system/network engineer, developer, or similar technical role focused on cloud computing
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Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, and skills of writing code in Python
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Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL)
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Solid understanding of the cloud ML tools landscape from industry leaders
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Legal authorization to work in the U.S. on a full-time basis without visa sponsorship
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Key Attributes for Success
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Self-starter who thrives in a fast-paced, evolving startup environment
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Collaborative team player who can work effectively across different departments and cultures
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Results-oriented with a strong sense of ownership and accountability
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Innovative problem-solver who can identify new opportunities for growth
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Continuous learner, eager to stay updated on the latest AI and cloud computing trends
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High ethical standards and integrity, with a commitment to responsible AI development
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Passionate about democratizing access to AI infrastructure
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Why Join?
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Competitive compensation ranging from $180,000 to $300,000 per year (negotiable based on experience and location)
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Comprehensive benefits package including 100% company-paid medical, dental, and vision coverage for employees and families
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401(k) plan with a 4% match program
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Stock options plan
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Flexible remote work environment
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20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers
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Up to $85/month for mobile and internet
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Opportunity to work with cutting-edge AI and cloud technologies
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Contribute to sustainable AI infrastructure with energy-efficient data centers
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Be part of a team that operates one of the most powerful commercially available supercomputers
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Interviewing Process
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Level 1: Virtual interview with the Talent Acquisition Lead (General fit, Q&amp;A)
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Level 2: Virtual interview with the Hiring Manager (Skills assessment)
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Level 3: Interview with the C-level (Final round)
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Reference and Background Checks: Conducted post-interviews
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Offer: Extended to the selected candidate
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We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.
Compensation Range: $180K - $300K

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