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Senior AI Engineer
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AI Infrastructure
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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