Senior AI Engineer

Metropolis; New York (NY); On-site; USD 170,000 - 200,000; Full time

Benefits offered by this job

401(k) plan

Healthcare benefits

Stock option plan

Bonus plans

Job summary

Metropolis is looking for a Senior AI Engineer to join their Applied AI team in New York City. In this hands-on role, you will design and develop AI-powered tools and automation pipelines, revolutionizing how the company operates with an AI-first perspective. With at least 6 years of software engineering experience and strong Python proficiency, you will support end-to-end systems and ensure production reliability. The position offers a salary range of $170,000 to $200,000 annually, along with a comprehensive benefits package.

Qualifications

• 6+ years of software engineering experience and 2+ years designing, building, and deploying AI applications.
• Strong Python skills for building APIs and data pipelines.
• Experience with LLM APIs and prompt engineering.

Responsibilities

• Design and build AI-powered automation tools.
• Maintain LLM-based systems and data pipelines.
• Monitor production reliability for AI systems.

Skills

Software engineering

Python

LLM APIs

Data engineering

Workflow orchestration

Product quality focus

Autonomous work

Tools

AWS

SQL

TypeScript

React

Git & GitHub

Job description

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.

Who you are

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.

What you'll do

• Design, build, and ship AI‑powered automation tools and internal applications that transform manual business processes into AI‑first workflows
• Architect and maintain LLM‑based systems, including prompt pipelines, agentic workflows, tool‑calling integrations, and retrieval‑augmented generation (RAG) setups
• Build and maintain data pipelines that connect source systems (Snowflake, internal APIs, SaaS tools) to AI workflows, ensuring data quality and reliability
• Partner with Process Analysts to understand how business functions work today, translate requirements into engineering specifications, and iterate based on real user feedback
• Own production reliability for the systems you build — monitoring, alerting, and iterating on AI outputs to maintain quality over time
• Evaluate and integrate emerging AI tooling (models, frameworks, APIs) to ensure Metropolis is always leveraging the best available capabilities
• Contribute to internal standards for AI development: prompt management, evaluation frameworks, model selection, and system architecture

What we're looking for

• 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
• Strong Python skills — you write clean, maintainable code and are comfortable building APIs, data pipelines, and backend services
• Practical experience with LLM APIs (OpenAI, Anthropic, or similar), prompt engineering, and agentic patterns (function calling, multi‑step reasoning, tool use)
• Familiarity with data engineering fundamentals: SQL, data transformation, working with cloud data warehouses (Snowflake preferred)
• Experience with workflow orchestration tools (e.g., Airflow, Prefect, or similar) and cloud infrastructure (AWS preferred)
• A strong instinct for product quality — you care about whether the tools you build are actually useful, not just technically functional
• Ability to work autonomously in a fast‑moving environment, manage competing priorities, and ship iteratively rather than waiting for perfection

While not required, these are a plus:

• Experience with vector databases, embeddings, or semantic search is a plus

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code

4 Days in Office: Metropolis values in‑person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office‑first model, which requires employees to be on‑site at least four days a week, fostering organic interactions that spark creativity and connection

The anticipated base salary for this position is $170,000.00 USD to $200,000.00 USD annually. Base salary is one component of Metropolis’ total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short‑term and long‑term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more.

Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.

Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.