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LILT
LILT
201 – 500 Darbinieki
H1B vīzas sponsorsMākslīgais intelektsSaaSUzņēmums
LILT ir mākslīgā intelekta un SaaS uzņēmums, kas izstrādā daudzvalodu lokalizācijas tehnoloģiju uzņēmumiem, publiskā sektora organizācijām un mākslīgā intelekta izstrādātājiem. Tā platforma apvieno kontekstuālus mākslīgā intelekta modeļus ar ekspertu veiktu cilvēka pārbaudi, lai nodrošinātu drošus, zīmolam atbilstošus tulkojumus un lokalizētu saturu vairāk nekā 100 valodās. LILT piedāvā arī pielāgotu modeļu apmācību, nepārtrauktu uzlabošanu, lokalizācijas projektu pārvaldību, vietējās integrācijas, kā arī ieviešanu uzņēmuma infrastruktūrā vai no interneta izolētā vidē.
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Vakances uzņēmumā

Backend Engineer, Real-Time Translation (Hybrid)

Build backend systems for LILT’s real-time translation platform, including streaming services, interpreter routing, meeting integrations, and observability. Work across APIs, event-driven workflows, and production services that support live multilingual communication.

USAmerikas Savienotās ValstisMAMasačūsetsaWAVašingtona
100 612 $ – 138 000 $ / gads
HibrīdiPilna slodzeJaunākais speciālistsVidējais līmenisGrāds nav nepieciešamsNepieciešamā Valoda: angļuBackend inženierisProgrammatūras inženieris
GraphQLgRPCJavaJavaScriptKafkaNode.jsNoSQLPythonReactTypeScript

Apraksts

  • Develop and operate backend services for the real-time translation pipeline, covering audio ingestion, diarization integrations, streaming ASR/MT coordination, and result distribution.
  • Create event-driven routing that directs low-confidence segments to the appropriate on-call interpreter based on language.
  • Develop APIs and services for bot or agent participants and the meeting side panel.
  • Help build interpreter correction workflows and real-time broadcast capabilities.
  • Create and maintain unit, integration, and end-to-end test coverage.
  • Support GitHub Actions-based continuous integration and delivery pipelines.
  • Add logging, metrics, and tracing to improve service observability.
  • Collaborate with frontend and full-stack engineers on API contracts for the live meeting interface and interpreter workbench.
  • Join the on-call rotation and investigate production incidents.
  • Produce post-meeting deliverables such as diarized transcripts, TXT, WebVTT, and JSON exports, plus per-line verification metadata.
  • Work with senior engineers and Product to move services and features from initial design into production.

Prasības

  • Two to five years of professional experience developing backend software.
  • Production experience with real-time or streaming data systems is preferred.
  • Experience creating REST endpoints and streaming services with WebSockets, gRPC, message queues, or similar low-latency, event-driven approaches.
  • Strong experience with Node.js/TypeScript, Java, Python, or comparable backend technologies, with the flexibility to work across multiple ecosystems.
  • Experience developing and consuming REST and GraphQL APIs, including authentication with OAuth, API keys or tokens, and service accounts.
  • Experience modeling relational or NoSQL data for session state, transcripts, and configuration.
  • Experience with CI/CD and automated integration or end-to-end testing.
  • Able to deliver well-defined tickets or specifications with limited supervision and raise blockers or schedule risks early.
  • Must be a US citizen residing in the United States.
  • Experience with speech or audio systems, including diarization, streaming ASR, or audio-stream processing, is a strong advantage.
  • Experience integrating third-party platform APIs, SDKs, or webhooks is a strong advantage.
  • Familiarity with localization or TMS processes, including XLIFF, Translation Memory, and machine-translation versus human-translation workflows, is a strong advantage.
  • Experience with event-driven publish-subscribe systems such as Kafka or Pub/Sub is a strong advantage.
  • Exposure to frontend development or React is a strong advantage.
  • Microsoft Teams app or bot development experience is a bonus.
  • Experience taking products from 0 to 1 within an established company is a bonus.
  • Interest in or academic work related to NLP or machine-learning systems is a bonus.
  • Experience with production observability platforms such as Datadog is a bonus.

Priekšrocības

  • Opportunities for professional growth.
  • Work with colleagues across global teams.
  • Access to modern engineering tools.
  • Base salary ranging from $100,612 to $138,000, based on location and factors such as experience, skills, and qualifications.

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