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MetropolisMetropolisSeattle, WA

Senior AI Engineer

Designs, builds, and maintains LLM-based AI systems, data pipelines, and automation tools to transform business processes. Requires 6+ years software engineering with 2+ years AI/LLM production experience, strong Python, and data engineering skills.

170k – 200k/yr
On-site6+ YOEML Engineering

About the role

What you'll do

  • Design, build, and ship AI-powered automation tools and internal applications that transform manual business processes into AI-first workflows
  • Architect and maintain LLM-based systems, including prompt pipelines, agentic workflows, tool-calling integrations, and retrieval-augmented generation (RAG) setups
  • Build and maintain data pipelines that connect source systems (Snowflake, internal APIs, SaaS tools) to AI workflows, ensuring data quality and reliability
  • Partner with Process Analysts to understand how business functions work today, translate requirements into engineering specifications, and iterate based on real user feedback
  • Own production reliability for the systems you build — monitoring, alerting, and iterating on AI outputs to maintain quality over time
  • Evaluate and integrate emerging AI tooling (models, frameworks, APIs) to ensure Metropolis is always leveraging the best available capabilities
  • Contribute to internal standards for AI development: prompt management, evaluation frameworks, model selection, and system architecture

What we're looking for

  • 6+ years of software engineering experience, with 2+ years of hands-on experience designing, building, and deploying LLM-based or AI-powered applications in production
  • Strong Python skills — you write clean, maintainable code and are comfortable building APIs, data pipelines, and backend services
  • Practical experience with LLM APIs (OpenAI, Anthropic, or similar), prompt engineering, and agentic patterns (function calling, multi-step reasoning, tool use)
  • Familiarity with data engineering fundamentals: SQL, data transformation, working with cloud data warehouses (Snowflake preferred)
  • Experience with workflow orchestration tools (e.g., Airflow, Prefect, or similar) and cloud infrastructure (AWS preferred)
  • A strong instinct for product quality — you care about whether the tools you build are actually useful, not just technically functional
  • Ability to work autonomously in a fast-moving environment, manage competing priorities, and ship iteratively rather than waiting for perfection

While not required, these are a plus:

  • Experience with vector databases, embeddings, or semantic search

Our Stack

Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
Datastores: MySQL, PostgreSQL, Snowflake
Cloud: AWS
Version control: Git & GitHub
AI Tooling: Copilot on GitHub and Claude Code
Observability: Datadog

Compensation: Anticipated base salary $170,000 - $200,000 USD annually, plus benefits including healthcare, 401(k), stock options, bonus plans.

Skills

PythonLLM APIsPrompt EngineeringSQLSnowflakeAWSAirflowPrefectRAGAgentic Workflows

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