Metropolis
Vertical AI · Computer-vision parking & payments
Currently tracking 8 active AI roles, down 56% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $150k–$265k (avg $203k).
Metropolis currently has 8 active AI-related job listings. The majority of these roles, 88%, are focused on agents, with 13% in application. All 8 open positions are in Engineering, with hiring concentrated in the United States. The company is frequently seeking candidates with experience in model serving, agent orchestration, and tool use. Over the last 30 days, Metropolis has not posted any new AI roles.
Vertical AI · Computer-vision parking & payments
Metropolis currently has 8 active AI-related roles in our index. The most common open titles are: Senior AI Engineer (3), Director, Applied AI (2), Senior Machine Learning Engineer, Computer Vision, Senior Manager, Machine Learning Engineering, Senior Software Engineer, Recognition Intelligence Applications. Most positions are in Engineering.
Metropolis's active AI hiring is concentrated in: agents (88%), application (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Metropolis is hiring AI talent in: United States (8 roles).
Job postings at Metropolis most frequently mention: Prompt Engineering, Machine Learning, Retrieval-Augmented Generation (RAG), Agent Orchestration, Reliability Engineering.
In the past 30 days, Metropolis has posted 0 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Manager, Central Cloud Infrastructure Manager for Central Cloud Infrastructure team in India, responsible for cloud usage, foundational elements, shared tooling, consultancy, security, and compliance (PCI, SOC2). Will lead a team of three engineers, modernize platforms, and architect solutions for cloud ecosystem health using AWS, Terraform, and Kubernetes/EKS. | — | 0 |
| Senior Data Engineer Senior Data Engineer role focused on building and optimizing end-to-end data pipelines, data architecture, and data models for large-scale projects. Requires expertise in SQL, Python, ETL/ELT, Snowflake, dbt, and Terraform, with experience in cloud environments and Big Data solutions. | — | 0 |
| Senior Analytics Engineer Senior Analytics Engineer role focused on making data accessible and actionable, partnering with various teams to drive impact through data vision and architecture. Requires strong Python, SQL, and dbt experience, with ownership of large-scale data projects and data warehouses. | — | 0 |