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Software Engineer

Axios

Remote · Remote · full time · Mid

$130,000 – $165,000

Listed on Axios’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

Axios seeks a full-stack engineer to build and scale the news platform's core products, with a strong emphasis on using AI coding agents throughout the development lifecycle. The role pairs traditional software fundamentals—frontend, backend, and data work—with modern AI-native practices, and suits mid-level engineers who've moved beyond snippets to using agents for substantial, multi-step work.

Our summary, not Axios’s wording. The full posting is on their site.

Skills this role names

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What they ask for

Required

  • 2–5+ years professional software development experience
  • Production experience in frontend, backend, or full-stack development
  • Hands-on use of agentic coding tools for multi-step work
  • Ability to write clear specifications and guide AI agents
  • Critical review of AI-generated code for security and maintainability
  • Production frontend experience with JavaScript or TypeScript and React
  • Production backend experience building services and APIs
  • Relational database and SQL experience
  • Unit and integration testing experience
  • Authentication, authorization, and web security knowledge
  • Engineering judgment to own scoped work and navigate ambiguity
  • Clear communication of technical decisions and tradeoffs

Nice to have

  • Production experience building AI-enabled features with models, structured outputs, tool calling, or agents
  • Experience evaluating AI systems through regression tests, monitoring, and feedback loops
  • Experience extending AI development environments through MCP servers or custom tools
  • Production experience with Go or Python
  • gRPC, Protocol Buffers, or service-oriented architecture experience
  • Cloud infrastructure, containers, orchestration, or CI/CD experience
  • Caching, background jobs, queues, or asynchronous processing experience
  • CMS, publishing, media, subscription, or consumer-facing product experience
  • Production system observability, performance optimization, or accessibility testing experience

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