Senior AI Engineer: Power AI-Driven Permitting

Pulley

Seattle (WA)

On-site

USD 180,000 - 240,000

Full time

8 days ago
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Benefits offered by this job

Competitive compensation
Equity
Health benefits

Job summary

Pulley, a Seattle-area company, is hiring a senior AI engineer to build the intelligent permitting product that turns messy city rules and documents into fast, structured outputs. You will own LLM-powered features end-to-end, from user conversations to production deployment, and shape how the product interacts with customers across multiple jurisdictions.

You will drive evaluation, observability, and agent-driven workflows while mentoring peers.

Qualifications

  • 4+ years of software engineering with production LLM/ML systems
  • Own an LLM-powered product surface end-to-end, including data quality, eval, cost and latency
  • Deep hands-on experience with large language models in production: prompting, retrieval, extraction, agents
  • Experience designing evals and making LLM-powered features reliable in production
  • Real experience building with AI coding agents and shipping agent-driven implementations

Responsibilities

  • Own AI-powered features end-to-end—from user interactions to production deployment.
  • Turn unstructured permitting documents and city rules into structured, reliable outputs.
  • Build evaluation and observability foundations for LLM-powered features.
  • Work with AI agents as a daily practice, ensuring high velocity with quality.
  • Make technical and product decisions impacting customers and projects.
  • Mentor engineers and raise the bar for LLM-related engineering practices

Skills

LLM/ML Systems
End-to-end ownership
Prompting & retrieval
Evaluation design
Agent workflows
Architectural thinking

Tools

TypeScript
React
Google Cloud

Job description

Pulley, a Seattle-area company, is hiring a senior AI engineer to build the intelligent permitting product that turns messy city rules and documents into fast, structured outputs. You will own LLM-powered features end-to-end, from user conversations to production deployment, and shape how the product interacts with customers across multiple jurisdictions.

You will drive evaluation, observability, and agent-driven workflows while mentoring peers.

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