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Anthropic

Builds Claude AI models with a focus on safety

AV Engineer - Platform & Automation

Backend EngineeringConfirmed live in the last 24 hours
Full-time$285k - $325k /yr

About the Job

Requirements

  • Have 10+ years of experience across AV, collaboration, or IT systems engineering, including 4+ years writing, shipping, and maintaining production code that other people depend on.
  • Be fluent in at least one general-purpose programming language such as Python, Lua, Go, TypeScript, or similar, and be comfortable with shell scripting.
  • Use engineering fundamentals including Git-based workflows, code review, automated testing, continuous integration and continuous delivery (CI/CD), logging, and observability.
  • Understand digital signal processing (DSP) and control, conferencing platforms, room devices, signal flow, and audio-visual over Internet Protocol (AV-over-IP) well enough to build reliable tools on top of them.
  • Have built integrations against representational state transfer (REST) APIs, webhooks, and vendor software development kits (SDKs), and know how to handle authentication, rate limits, pagination, retries, and partial failure.
  • Have owned a tool or service in production over time, including fixing it when it breaks and handing it off cleanly.
  • Have defined engineering practices for a team, especially one where most contributors are not developers.
  • Turn operational pain into well-scoped tooling and determine when work should not be built.

Responsibilities

  • Design, build, and ship internal tools and integrations that monitor, test, and manage AV and collaboration systems across every office.
  • Develop fleet health monitoring and automated room testing that catch failures before users report them and automatically open actionable tickets.
  • Build integrations across device and platform APIs, including Q-SYS plugins and Lua control scripts, Logitech Sync, Google Meet hardware, digital signage, and IT systems such as Jira, Slack, PagerDuty, and Google Workspace.
  • Automate repetitive operational work, including provisioning, configuration baselines, drift detection, certificate renewal, and asset data, using code others can read, test, and maintain.
  • Own administration and lifecycle of the software platforms behind the AV estate, including firmware and software release management with staged rollouts and rollback plans.
  • Operate internal tools as production services with monitoring, alerting, service metrics, and runbooks, on team-owned repositories and service identities so nothing depends on one person.
  • Establish the team's engineering practices for source control, code review, testing, CI/CD, and releases; bring AV configuration under version control; set standards for integrator deliverables; and verify acceptance before changes land.
  • Enable AV Engineers, Operations Specialists, and Production staff to contribute safely through templates, guardrails, and review paths built for non-developers.
  • Partner with Security, IT Engineering, and Network on least-privilege API access, secrets management, and integration with enterprise standards.
  • Gather requirements from AV Operations, Events, and AV Engineering; prioritize the tooling roadmap by operational impact; and decide where to build, buy, or push a vendor to close a gap.
  • Administer the role's software platforms from the San Francisco or New York City office, with an expectation to be in office 50% of the time.
  • Travel up to four weeks annually, domestically and internationally, for platform rollouts, new-office readiness, and on-site testing.
  • Provide business-hours escalation coverage for the tools and platforms the role owns.

Desired Qualifications

  • Experience with Q-SYS Lua scripting and plugin development.
  • Experience with Logitech Sync and CollabOS, and Google Meet hardware administration through the Google Admin console and Admin SDK.
  • Experience with Google Workspace APIs, Google Cloud Platform services including Cloud Run, Cloud Scheduler, Pub/Sub, and Secret Manager, and Terraform or other infrastructure-as-code tools.
  • Experience with Jira, Slack, and PagerDuty APIs and automation.
  • Experience with Crestron, Extron, or other control system programming.
  • Experience with Dante, AES67, NDI, and network fundamentals for AV-over-IP, including multicast, VLANs, and quality of service (QoS).
  • Experience building with large language models, including agentic automation, LLM-assisted internal tools, or Model Context Protocol (MCP) integrations.
  • Experience with monitoring and alerting stacks such as Prometheus and Grafana, and containerized deployment.
  • Q-SYS Level 2, Certified Technology Specialist (CTS), or equivalent demonstrated capability.

About the Company

Anthropic

Builds Claude AI models with a focus on safety

Anthropic builds the Claude family of AI models and sells them to businesses, software developers, and consumers, with research on making AI safe and understandable at the center of its work. In 2024 it introduced the Model Context Protocol, an open standard for connecting AI assistants to outside apps and data that OpenAI and Google adopted the next year. People use the Claude app to write and analyze files, programmers hand coding tasks to Claude Code, and companies build Claude into their own products through its API. Anthropic earns money from subscriptions, business plans, and usage-based API fees. Siblings Dario and Daniela Amodei founded Anthropic in 2021 with other former OpenAI employees, and it is based in San Francisco.

Company size
5,001-10,000
Company stage
N/A
Total funding
$243.8B
Headquarters
San Francisco, CA
Founded
2021

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