Metropolis

Senior AI Engineer

Metropolis
Apply
5 months ago

Base Salary

$170k - $200k/yr

Responsibilities

  • Design, build, and ship AI-powered automation tools and internal applications for manual business processes.
  • Architect and maintain LLM prompt pipelines, agentic workflows, tool-calling integrations, and RAG systems.
  • Build and maintain data pipelines connecting Snowflake, internal APIs, and SaaS tools to AI workflows.
  • Partner with Process Analysts to translate business requirements into engineering specifications and incorporate user feedback.
  • Own production reliability through monitoring, alerting, and ongoing evaluation of AI output quality.
  • Evaluate and integrate emerging AI models, frameworks, APIs, and other tooling.
  • Contribute to standards for prompt management, evaluation frameworks, model selection, and AI system architecture.

Requirements

  • At least 6 years of software engineering experience, including at least 2 years designing, building, and deploying LLM-based or AI-powered applications in production.
  • Strong Python skills for APIs, data pipelines, and backend services.
  • Practical experience with LLM APIs such as OpenAI or Anthropic, prompt engineering, function calling, multi-step reasoning, and tool use.
  • Familiarity with SQL, data transformation, and cloud data warehouses, with Snowflake preferred.
  • Experience with workflow orchestration tools such as Airflow or Prefect and cloud infrastructure, with AWS preferred.
  • Ability to work autonomously, manage competing priorities, and ship iteratively in a fast-moving environment.
  • Experience with vector databases, embeddings, or semantic search is preferred.

Benefits

  • Four days per week in the office under an office-first work model.
  • Healthcare benefits, 401(k) plan, short- and long-term disability coverage, basic life insurance, stock option plan, and bonus plans may be available.
  • Opportunity to work on AI, parking, mobility, and real estate technologies in an in-person collaborative environment.

Tech Stack

Apache AirflowAWSDatadogGitJavaMySQLPostgreSQLPythonReactSnowflakeSQLTypeScript

Categories

AI ApplicationsBackendData Engineering
Contact me