Senior AI Engineer

<h3>Who we are</h3> <p>The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators, and problem solvers to help us create it.</p> <h3>Who you are</h3> <p>Metropolis is seeking a Senior AI Engineer to join our Applied AI organization, a team purpose-built to rebuild how the company operates from an AI-first perspective. You will be the builder at the heart of this transformation, designing and shipping AI-powered tools and automation pipelines that replace manual, repetitive work across finance, operations, revenue, and beyond. This is a hands-on engineering role with enormous scope: you will own systems end-to-end, from the LLM prompt layer through to production deployment, working side-by-side with Process Analysts who understand the business deeply. If you want to see your work directly change how a company functions — not someday, but now — this is the role.</p> <h3>What you'll do</h3> <ul> <li>Design, build, and ship AI-powered automation tools and internal applications that transform manual business processes into AI-first workflows</li> <li>Architect and maintain LLM-based systems, including prompt pipelines, agentic workflows, tool-calling integrations, and retrieval-augmented generation (RAG) setups</li> <li>Build and maintain data pipelines that connect source systems (Snowflake, internal APIs, SaaS tools) to AI workflows, ensuring data quality and reliability</li> <li>Partner with Process Analysts to understand how business functions work today, translate requirements into engineering specifications, and iterate based on real user feedback</li> <li>Own production reliability for the systems you build — monitoring, alerting, and iterating on AI outputs to maintain quality over time</li> <li>Evaluate and integrate emerging AI tooling (models, frameworks, APIs) to ensure Metropolis is always leveraging the best available capabilities</li> <li>Contribute to internal standards for AI development: prompt management, evaluation frameworks, model selection, and system architecture</li> </ul> <h3>What we're looking for</h3> <ul> <li>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</li> <li>Strong Python skills — you write c