Drimva

Metropolis

Senior AI Engineer

$170K–$200K

Los Angeles, California, United States +1 · Senior · Full-time · Posted Apr 21, 2026

Location
Los Angeles, California, United States
New York, New York, United States
Experience
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.

About the job

Builds and operates production AI systems and agentic workflows that automate business processes across Metropolis business units.

What you'll do

  • Partner with business teams to identify automation opportunities and translate needs into engineering specifications.
  • Build and deploy LLM-based applications, agentic workflows, prompt pipelines, tool integrations, and RAG systems.
  • Maintain data pipelines and production reliability, monitor AI outputs, and iterate based on stakeholder feedback and business impact.

What they ask for

  • 6+ years of software engineering experience, including 2+ years designing, building, and deploying LLM-based or AI-powered applications in production.
  • Strong Python skills and practical experience with LLM APIs, prompt engineering, and agentic patterns.
  • Familiarity with SQL, data transformation, and cloud data warehouses such as Snowflake.
  • Experience with workflow orchestration tools (Airflow, Prefect, or similar) and cloud infrastructure (AWS).

Nice to have

  • Previous experience in Forward Deployed Engineering, Solutions Engineering, or a highly client/business-facing technical role.
  • Experience with vector databases, embeddings, or semantic search.

Pay

$170,000.00 USD to $200,000.00 USD annually (base salary)

Tools

Python, OpenAI, Anthropic, Snowflake, Airflow, Prefect, AWS, TypeScript

AI focus

Develop and deploy LLM-based applications and agentic workflows, including prompt pipelines, tool-calling integrations, and retrieval-augmented generation (RAG), to automate business processes.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)