Senior AI Engineer

Who We Are

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.

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.

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. Operating as an internal forward-deployed engineer, you will partner closely across business units such as Go-To-Market, Finance, and Operations to translate operational challenges into AI-first engineering solutions. This is a highly autonomous and visible role requiring exceptional communication skills, a deep commercial mindset, and the technical ability to own systems end-to-end, from the LLM prompt layer through to production deployment to directly transform business outcomes.

• Partner directly with business leaders, operations teams, and Process Analysts to deeply understand their workflows, identify high-impact automation opportunities, and translate ambiguous business challenges into scalable engineering specifications
• Prototype, build, and deploy AI-powered applications and agentic workflows that transform manual business processes into seamless AI-first operations
• Serve as the technical translator and primary communicator between the Applied AI engineering team and non-technical business units, managing stakeholder expectations and iterating rapidly based on real user feedback
• Architect and maintain LLM-based systems in the field, including prompt pipelines, tool-calling integrations, and retrieval-augmented generation (RAG) setups tailored to specific business use cases
• Build and maintain robust data pipelines connecting source systems (Snowflake, internal APIs, SaaS tools) to AI workflows, ensuring data quality and reliability for your stakeholders
• Own the end-to-end production reliability and business impact of the systems you deploy, monitoring, alerting, and iterating on AI outputs to ensure continuous value delivery
• Evaluate and integrate emerging AI tooling (models, frameworks, APIs) to ensure Metropolis is always leveraging the best available capabilities to solve operational problems

• 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
• Exceptional communication and stakeholder management skills with the ability to explain complex technical concepts to non-technical business leaders and translate their needs into actionable architecture
• Strong commercial and product-driven mindset prioritizing business impact and…