Staff Software Engineer

Posted 5hrs ago

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Job Description

Staff Software Engineer building AI content pipelines and scalable applications for a small-business growth app. Leading architecture, quality evaluation, APIs, and production software delivery.

Responsibilities:

  • Design, test, and implement the app for small business owners
  • Report to an Engineering Manager and partner with the Product team
  • Provide technical leadership throughout the software development lifecycle, including data structures and algorithms, architecture design, code review, troubleshooting, and updates
  • Define project scope and scale with the Engineering Manager and Product team
  • Own the architecture of the AI content pipeline, including model context, task decomposition, model selection, quality, cost, and latency
  • Build automated quality checks for AI-generated content using evaluation sets from real data
  • Develop, design, and maintain scalable web applications, mobile applications, and RESTful APIs
  • Write clean, efficient, well-documented, secure code
  • Collaborate with cross-functional teams to design, develop, and deploy applications
  • Troubleshoot and debug applications
  • Identify bottlenecks and improve software efficiency
  • Stay current with emerging software development trends and technologies

Requirements:

  • 7+ years building production software
  • Experience taking a product or major feature from 0 to 1 and owning it after launch
  • Ability to learn new languages, frameworks, and domains as required
  • Experience shipping a production feature built on LLM output and owning hallucination, output quality, and cost issues
  • Deep experience with TypeScript and SQL/Postgres
  • Daily use of AI coding agents such as Claude Code or Cursor on production work
  • Ability to raise team standards through code review, written standards, and mentoring
  • Ability to raise risks early with options
  • Nice to have: Supabase, Google Cloud Functions, Pub/Sub, Flutter/Dart, LLM evaluation, multi-step LLM generation, retrieval or fact-checking pipelines, local SEO or marketing copy generation
  • Required application materials include resume, phone, location, GitHub, and LinkedIn