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# Backend Engineer

- **Company:** PLAUD INC.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $159,000.0 - $219,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, User Authentication, Data Streaming, Management of Software Versions, Web Services, WebSocket, Autoscaling, Backend, Rate Limiting, Low Latency, Api Design, Golang
- **Published:** September 12, 2026
- **Apply:** https://startup.jobs/backend-engineer-palo-alto-plaud-8103962

## About the Role

* 5+ years of backend engineering experience with strong Go (Golang) proficiency; shipped and operated production services in Go.
 * Hands-on production experience building and operating AI/ML-serving backend services - inference API design, model service integration, on-call and incident response - not just internal tooling or prototypes.
 * Solid architecture experience with high-concurrency, low-latency platform services: multi-region deployment, streaming/real-time protocols (WebSocket and/or gRPC), async/queue-based job pipelines, and autoscaling.
 * Experience designing and shipping public-facing APIs or SDKs - authentication, rate limiting, versioning, and developer-facing documentation.
 * Professional English proficiency (written and spoken) for developer documentation and direct B2B customer engagement.

## Description

* Design, build, and ship the batch transcription and streaming ASR API services on Plaud's developer platform - owning the full stack from inference API design and model service integration through authentication, rate limiting, versioning, and developer documentation.
 * Deploy and operate the STT services across all 4 global regions; establish on-call rotation, monitoring, alerting, and SLO governance from launch; lead incident response and post-mortems.
 * Architect for high-concurrency, low-latency MaaS-style workloads - streaming/real-time protocols (WebSocket/gRPC), async job pipelines for batch transcription, autoscaling, and cost/latency optimization - benchmarking against SOTA inference API providers (e.g., Deepgram, AssemblyAI, Google STT).
 * Serve as the primary technical point of contact for B2B customers on API capabilities; scope, commit to, and deliver new feature requests on defined timelines.
 * Collaborate directly with the algorithm team on ASR model integration and with product on the developer platform roadmap; use AI tooling to accelerate development, documentation, and observability workflows.


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