Senior AI Engineer

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Metropolis

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$170K - $200K/yr

AI Infrastructure

Tech Stack

About the Role

Metropolis is building AI systems for the Recognition Economy, starting with parking automation and expanding into retail and hospitality. We're looking for a Senior AI Engineer to join our Applied AI organization to design and deploy AI-powered tools and automation pipelines that replace manual, repetitive work across the business.

What you'll do:

  • Design and ship AI automation tools that transform business processes
  • Architect LLM systems including prompt pipelines, agentic workflows, tool-calling integrations, and retrieval-augmented generation (RAG) setups
  • Build data pipelines connecting Snowflake, APIs, and SaaS tools into AI workflows
  • Partner with Process Analysts to translate requirements and iterate
  • Own production monitoring, alerting, and output quality
  • Evaluate emerging AI tools and frameworks
  • Contribute to internal AI development standards

Requirements:

  • 6+ years software engineering, 2+ years deploying LLM/AI applications in production
  • Strong Python for APIs, pipelines, and backends
  • Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar), prompt engineering, and agentic patterns including function calling and tool use
  • SQL and cloud data warehouse experience (Snowflake preferred)
  • Workflow orchestration (Airflow, Prefect) and AWS
  • Iterative shipping mindset; product-quality instincts

Nice to have: vector databases, embeddings, or semantic search experience.

Tech stack: Python, TypeScript, React, Scala, Java; MySQL, PostgreSQL, Snowflake; AWS; Datadog; GitHub Copilot, Claude Code.

Onsite 4 days/week in Seattle. Salary: $170,000 to $200,000.

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