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Senior AI Engineer

Pulley· Engineering
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San Francisco$230k - $280kFull-timePosted 11mo ago

About the role

Senior AI Engineer role focused on building the intelligence behind Pulley’s AI-powered permitting platform, turning unstructured inputs into structured outputs, developing evaluation/observability, and shipping agent-driven AI features in production.

Responsibilities

  • Own AI-powered features end-to-end—from talking to users and defining what “correct” means for a permitting workflow, through prompt and pipeline design, evals, deployment, and iteration in production
  • Turn unstructured permitting documents, city regulations, and jurisdiction workflows into structured, reliable outputs—extraction, classification, retrieval, and agentic workflows over documents that were never designed to be machine-readable
  • Build the evaluation and observability foundation that lets us ship LLM-powered features with confidence: define ground truth, measure quality and regressions, and know when a model change is actually an improvement
  • Build with AI agents as a daily practice—directing, reviewing, and shipping agent-driven work at high velocity while owning the quality bar
  • Make technical and product decisions that have direct impact on our customers and their projects
  • Raise the bar for the engineers around you in how they build with LLMs, through design review, mentorship, and the standards you set in your own work

Qualifications

  • 4+ years of software engineering experience, with a substantial portion building production LLM or ML systems
  • Track record of owning an LLM-powered product surface end-to-end: requirements through production, including the unglamorous parts—data quality, eval design, cost and latency, failure handling
  • Deep hands-on experience with large language models in production—prompting, retrieval-augmented generation, structured extraction, tool use and agentic workflows, and knowing when each is the wrong tool
  • Experience designing evals and otherwise making LLM-powered features reliable in production
  • Real experience building with AI coding agents—not just autocomplete; you’ve shipped work where agents did substantial implementation under your direction
  • Ability to architect durable systems while making pragmatic tradeoffs
  • Based in the San Francisco Bay Area and willing to work in person 4 days a week

Skills

Required:AI/ML systems engineeringPrompting and retrieval-augmented generationEvaluation design and observabilityAI agents and agentic workflowsSystem architecture
Last updated Sep 24, 2026. Interested? Apply on the company site.

About Pulley

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