LILT
Senior AEM Engineer
Washington D.C · Senior
Sponsorship not specifiedDetected 41 days ago
Node.jsGitGitHub ActionsGraphQLProduct StrategyCypress
About the role
- ABOUT LILT AI is changing how the world communicates - and LILT is leading that transformation.
- 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.
- 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.
Responsibilities
- Own the connector architecture and long-term product roadmap for the Lilt AEM Connector
- Define and document canonical patterns for translation project creation, Content Fragment localization, DAM asset translation, and auto-archiving workflows
- Partner with Solutions and Account teams for pre-sales technical evaluation, onboarding, and escalation triage
- Deliver new connector capabilities through the full cycle: CI (GitHub Actions), E2E Cypress tests, package deployment via Cloud Manager and RDE
- You will partner with Solutions and Account teams, train internal staff, and build the validation and guard logic that prevents customer-specific content structure quirks from becoming production incidents.
- You will ship new capabilities, validate, and define the canonical site structures the connector explicitly supports.
- Prior experience building or maintaining a packaged AEM extension or AEM archetype-based product
Requirements
- 5+ years of professional AEM development on AEM Cloud Service (AEMaaCS), with a track record of owning a production AEM implementation end-to-end - architecture, implementation, deployment, and field reliability
- Deep knowledge of AEM content architecture: JCR/Sling resource model, OSGi service components, AEM Sites, DAM, and Content Fragments
- Ability to debug JCR node type conflicts and content tree issues across diverse customer environments
- Experience with Cypress-based E2E testing in an AEM environment
Nice to have
- Comfort reasoning about complex multilingual content topologies - multi-region, multi-language-copy sites, shared Live Copy inheritance
- Prior AEM connector or TMS connector development (Sling connector framework, Translation API integration, XLIFF handling)
- Content Fragments, Experience Fragments, and Headless AEM (GraphQL / Content Services)
- OSGi configuration management - including config file authoring, Felix console operations, and Repoinit scripting
- AEM Cloud Manager, RDE (Rapid Development Environments), and package deployment lifecycle
- Experience navigating plugin interplay in complex AEM environments where multiple third-party extensions are installed
- Adobe I/O Events or AEM Eventing for reactive/webhook-based integration patterns
Skills
- AI is changing how the world communicates - and LILT is leading that transformation.
- CI (GitHub Actions), E2E Cypress tests, package deployment via Cloud Manager and RDE
Company info
- 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.
- 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
Visa & Work Authorization
- 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.
This listing is sourced directly from LILT's careers page and normalized into a canonical job model.