Metropolis
Senior AI Engineer
$170K–$200K
Seattle, Washington, United States +1 · Senior · Full-time · Posted Apr 21, 2026
- Location
- Seattle, Washington, United States
New York, New York, United States - Experience
- 6+ years of software engineering experience, including 2+ years designing, building, and deploying LLM-based or AI-powered applications in production.
About the job
Builds and operates production AI applications and agentic workflows that automate business processes, partnering with business teams to turn operational needs into reliable engineering solutions.
What you'll do
- Identify automation opportunities and translate business challenges into engineering specifications.
- Build and deploy AI applications, agentic workflows, LLM systems, and data pipelines.
- Own production reliability and business impact, including monitoring, stakeholder communication, and iterative improvement.
What they ask for
- Strong Python skills for APIs, data pipelines, and backend services.
- Hands-on experience with LLM APIs, prompt engineering, and agentic patterns such as function calling and tool use.
- Familiarity with SQL, data transformation, and cloud data warehouses such as Snowflake.
- Experience with workflow orchestration tools and cloud infrastructure such as AWS.
Nice to have
- Experience in Forward Deployed Engineering, Solutions Engineering, or another 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
Develops and deploys production LLM-based applications, agentic workflows, prompt pipelines, tool-calling integrations, and retrieval-augmented generation to automate business operations.
Model-written summary · the original posting is authoritative