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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Backend Engineer - **Company:** Lilt Inc. - **Location:** Boston, MA, United States - **Experience:** Experienced - **Salary:** $100,612.0 - $138,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Adobe Experience Manager, Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Microsoft Azure, Collaborative Software, Continuous Integration, Software Debugging, Github, JSON, Python (Programming Language), Microsoft Office Live Meeting, Language Modeling, Node.Js, NoSQL, OAuth, Queueing Systems, Salesforce.Com, Software Engineering, Data Streaming, TypeScript, Web Services, WebSocket, Datadog, Data Logging, Google Drive, ReactJS, Core Api, Backend, Agentic-AI, Low Latency, Apache Kafka, Graphql, Machine Learning Operations, Front End Software Development, Restful APIs, Webflow, Grpc, Webhooks, Api Management, Human in the Loop - **Published:** October 1, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=90c42aad99097717 ## About the Role * 2-5 years of professional backend software engineering experience, ideally including production systems that handle real-time or streaming data * Experience building REST API endpoints as well as streaming services with WebSockets, gRPC, message queues, or comparable low-latency/event-driven patterns * Solid experience with Node.js/TypeScript, Java, Python, or a comparable backend language/ecosystem, and the ability to work across more than one when needed * Experience building and consuming REST/GraphQL APIs, including authentication patterns (OAuth, API keys/tokens, service accounts) * Comfort with relational/NoSQL data modeling for session state, transcripts, and configuration data * Solid grasp of testing and delivery practices: CI/CD and automated integration/e2e tests * Ability to take a well-scoped ticket or spec and ship it with minimal oversight, while communicating blockers and timeline risk early * US citizenship and residence in the United States, * Experience with speech/audio pipelines: diarization, streaming ASR, or audio stream handling * Experience integrating with third-party platform APIs, SDKs, or webhooks (Slack, Zoom, or similar collaboration platforms) * Familiarity with localization/TMS workflows: XLIFF, Translation Memory, MT vs. human translation pipelines * Experience with event-driven/pub-sub architectures (Kafka, Pub/Sub, or similar) * Enough frontend/React exposure to reason about API contracts with a real-time, stateful UI, * Hands-on Microsoft Teams app or bot development specifically (Teams Toolkit, Bot Framework, Azure Communication Services, Microsoft Graph) * Experience working on 0-to-1 products within a larger, established company * Interest or coursework in NLP/ML systems * Experience with observability tooling (e.g., Datadog) in production, latency-sensitive systems ## Description * Build and maintain backend services for the real-time translation pipeline: audio ingestion, diarization hookups, streaming ASR/MT orchestration, and result fan-out to every configured meeting language * Implement the event-driven routing logic that flags low-confidence segments and routes them to the correct on-call interpreter by language * Build APIs and services backing the bot/agent participant and meeting side panel that deliver translation into the host meeting platform, with guidance from senior engineers * Contribute to the interpreter correction and broadcast system - ensuring corrections are isolated to the correct language and broadcast to all participants in real time * Write and maintain automated tests (unit, integration, e2e) and contribute to CI/CD pipelines (GitHub Actions) for new backend services * Instrument services for observability - logging, metrics, tracing - to support debugging of latency-sensitive, multi-party sessions * Partner with frontend/fullstack engineers on the Create team to define clean API contracts between backend services and the live meeting UI and interpreter workbench * Participate in on-call rotation and help triage production issues as the product moves toward GA * Help generate post-meeting assets: diarized transcripts, exportable formats (TXT/WebVTT/JSON), and per-line verification metadata, * 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 LILT in the News * Featured in The Software Report's Top 100 Software Companies! * LILT makes it onto the Inc. 5000 List. * LILT's continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry. * Check out all our news on our website. 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 https://lilt.com/legal/privacy. 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, 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.