SI
San Francisco, California, United States· Full-time
$220K – $280K/yr
PythonReactAISwift
L
Pay vs market · Bottom quarter
This job's pay ($145,560 a year at the midpoint) is higher than about 20% of 29 salary-listed Full Stack Developer jobs in United States in the last 12 months; their median is $203,300.
Role overview
Job description
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; Dance in the customer's shoes; 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 Capita
…About this listing
- Source: LILT's official careers site (via Ashby) · last confirmed on the source 3 Nov 2026
- Posted 2 Oct 2026
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What they are looking for
Skills & requirements
Qualification
This position requires US citizenship and residence in the United States. Preferred locations are Washington, D.C.; Boston, MA; and Indianapolis, IN. What You'll Do 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) 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 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 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 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 Partner with
Department · Engineering
Hiring company
LILT
Technology
Streamline global translation with AI. Connect systems, reduce costs, and secure multilingual content with enterprise-grade workflows.
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