Staff Software Engineer - AI Content Pipeline

About the role

An experienced Staff Software Engineer is sought to design, test and implement an app for small business owners, covering tools such as lead management, review management, business listings, ads reporting and AI-generated content. The engineer reports to an Engineering Manager and works in partnership with the Product team, providing technical leadership across the software development lifecycle.

Key responsibilities

• Partner with the Engineering Manager and Product team to define project scope and scale.
• Own the architecture of the AI content pipeline, including context, task breakdown and model selection, balancing quality, cost and latency.
• Build automated quality checks for AI-generated content that catch hallucinations before human review, using evaluation sets built from real data.
• Develop, design and maintain scalable web apps, mobile apps and RESTful APIs.
• Write clean, efficient, well-documented code and maintain code quality and security.
• Collaborate with cross-functional teams to design, develop and deploy applications, troubleshoot and debug them, and improve software efficiency.

Required profile

• 7+ years building production software, owning a product or major feature from 0 to 1, ideally at a startup or as founder or lead.
• Experience shipping a production feature built on LLM output and owning its failures (hallucination, bad output, cost).
• Deep experience with TypeScript and SQL/Postgres; uses AI coding agents such as Claude Code or Cursor daily and raises the bar through code review, standards and mentoring.

Required skills

• TypeScript and SQL/Postgres
• Nice to have: Supabase, Google Cloud Functions and Pub/Sub, Flutter / Dart, LLM evaluation with rubrics or LLM-as-judge graders, multi-step LLM generation with validation passes, retrieval or fact-checking pipelines, local SEO or marketing copy generation