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).
Vertical AI · Computer-vision parking & payments
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.
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 |
|---|---|---|
| Senior Manager, Machine Learning Engineering Senior Manager of Machine Learning Engineering to lead technical vision and execution of foundational systems for next-generation AI, overseeing data engineering, annotation pipelines, ML Infrastructure, and deployment of Agentic AI solutions. The role involves transitioning state-of-the-art models into robust, autonomous production systems for enterprise workflows. | AgentData | 8 |
| Senior Software Engineer, Recognition Intelligence Applications Senior Software Engineer for Metropolis' Recognition Intelligence Applications team, focusing on building AI solutions for behavior and intent identification from camera input. The role involves designing and implementing backend services for the recognition platform, participating in the full development lifecycle, and leading small teams on 0-to-1 initiatives. Requires strong software engineering skills, experience with distributed systems, and AI fluency. | Agent | 7 |
| Senior AI Engineer Senior AI Engineer to join Applied AI organization, focused on rebuilding company operations from an AI-first perspective. The role involves designing and shipping AI-powered tools and automation pipelines, owning systems end-to-end from prompt layer to production deployment, and partnering with Process Analysts. Key responsibilities include building AI-powered automation tools, architecting LLM-based systems (prompt pipelines, agentic workflows, RAG), building data pipelines, and owning production reliability. | Agent | 7 |
| Senior AI Engineer Senior AI Engineer to join Applied AI organization, focused on rebuilding company operations from an AI-first perspective. The role involves designing and shipping AI-powered tools and automation pipelines, owning systems end-to-end from prompt layer to production deployment, and partnering with Process Analysts. Key responsibilities include building AI-powered automation tools, architecting LLM-based systems (prompt pipelines, agentic workflows, RAG), building data pipelines, and owning production reliability. | Agent | 7 |
| Senior AI Engineer Senior AI Engineer to join Applied AI organization, focused on rebuilding company operations from an AI-first perspective. The role involves designing and shipping AI-powered tools and automation pipelines, owning systems end-to-end from prompt layer to production deployment, and partnering with Process Analysts. Key responsibilities include building AI-powered automation tools, architecting LLM-based systems (prompt pipelines, agentic workflows, RAG), building data pipelines, and owning production reliability. | Agent | 7 |
| Director, Applied AI Lead a newly formed Applied AI organization, architecting an AI-first operating model, and identifying high-leverage opportunities to rebuild business processes across finance, operations, revenue, and GTM. Hire, develop, and lead a team of AI Engineers and Process Analysts, setting standards for AI workflow design, evaluation, and deployment, including prompt systems and LLM integrations. Partner deeply with functional leaders to redesign processes and drive organizational change through technology, ensuring adoption for sustained impact. | Agent | 7 |
| Director, Applied AI Lead a newly formed Applied AI organization, architecting an AI-first operating model, and identifying high-leverage opportunities to rebuild business processes across finance, operations, revenue, and GTM. Hire, develop, and lead a team of AI Engineers and Process Analysts, setting standards for AI workflow design, evaluation, and deployment, including prompt systems and LLM integrations. Partner deeply with functional leaders to redesign processes and drive organizational change through technology, ensuring adoption for sustained impact. | Agent | 7 |