Senior Full Stack Engineer
Washington D.C., United States · Hybrid · Full-time
- Posted 1w ago
- From LILT’s careers page
- Location
- Washington D.C., United States
- Work mode
- Hybrid
- Type
- Full-time
- Level
- Senior
- Experience
- 5+ years
- Department
- Engineering
Opens the listing on jobs.ashbyhq.com
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About the role
What You'll Do
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Own architecture and technical roadmap for this Converse expansion, spanning the central real-time translation service and the customer-facing surfaces built on it (live meeting UI, interpreter workbench)
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Architect and build the low-latency, N-way translation pipeline: per-participant audio ingestion, diarization, streaming ASR, MT orchestration, and result fan-out to every language in the meeting
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Build the live meeting experience — bot/agent participant, meeting side panel, and on-stage caption surfaces — integrating with the host meeting platform's SDK, extension framework, and APIs
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Build the interpreter workbench: a real-time, streaming adaptation of Lilt's CAT tool with a live segment queue, low-confidence flagging, TM/TB matches, AI-Review/AI-QA signals, and submit-to-broadcast corrections
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Design the event-driven correction and broadcast system — routing flagged segments to the correct on-call interpreter by language, pausing the affected translation, and isolating each correction to a single language
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Partner with Product and Design to turn PRD requirements (JTBD, feature specs) into technical designs, and commit to and hit delivery dates on a brand-new product surface
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Collaborate with the engineers already building Converse's device/mobile experience to extend a shared translation-service architecture (per-participant declared spoken/received languages) into new multi-device and platform form factors
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Establish testing, CI/CD, and release practices (GitHub Actions, automated e2e tests) for the new product line
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Help recruit, mentor, and set engineering standards as headcount scales on this initiative
What We're Looking For
Required
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5+ years of professional full-stack software engineering experience, with a track record of owning complex, real-time or streaming systems end-to-end — architecture, implementation, deployment, and production reliability
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Strong backend experience spanning REST API endpoints and real-time/streaming systems: WebSockets, gRPC, or comparable low-latency transport; event-driven architectures; message routing and state management across many concurrent sessions
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Strong frontend experience building complex, stateful, real-time UIs in React/TypeScript — live-updating multi-pane interfaces, collaborative editors, or comparable dashboards
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Experience integrating with third-party platform SDKs or extension frameworks (Slack, Zoom, or similar meeting/collaboration platforms) — bots, side panels, webhooks, and platform APIs
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Comfort working with or directly adjacent to ASR/MT/NLP pipelines, or other latency-sensitive ML-in-the-loop systems
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Demonstrated ability to scope ambiguous, 0-to-1 product requirements into a technical plan and commit to and hit delivery dates
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Experience building validation and guard logic that gracefully handles edge cases across diverse customer configurations — languages, device counts, network conditions
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US citizenship and residence in the United States
Strong Plus
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Experience with speech/audio pipelines: diarization, streaming speech recognition, or audio stream multiplexing
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Prior experience building CAT tools, translation memory/termbase systems, or other linguist-facing review interfaces
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Familiarity with localization/TMS workflows: XLIFF, Translation Memory, MT vs. human translation pipelines
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Experience with cross-platform, embedded, or mobile-adjacent architectures, and adapting shared services across device and web form factors
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Experience shipping in regulated or high-security customer environments
Bonus
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Hands-on Microsoft Teams app or bot development specifically (Teams Toolkit, Bot Framework, Azure Communication Services, Microsoft Graph)
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Experience mentoring engineers and setting technical standards for a new product line
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Familiarity with post-meeting asset generation: transcript export formats (TXT/WebVTT/JSON), recording citations, and summarization
Skills they ask for
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About LILT
Enterprise AI translation platformLILT provides an enterprise AI translation platform for managing multilingual content and language workflows.
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