> Markdown version of [/jobs/ext/2117316-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2117316-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Metropolis Technologies - **Location:** Los Angeles, CA, United States - **Experience:** Expert - **Salary:** $170,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Software Applications, Software as a Service, Cloud Computing, Cloud Database, Configuration Management, Information Engineering, Data Transformation, Data Stores, Data Warehousing, Github, Python (Programming Language), PostgreSQL, MySQL, Requirements Management, Scala (Programming Language), Search Technologies, Software Engineering, SQL Databases, Systems Architecture, TypeScript, Datadog, Scripting, Application Enhancement Tool, ReactJS, Large Language Models, Snowflake, Prompt Engineering, Model Validation, Reliability of Systems, Backend, Git, Star Schema, Data Management, Api Design, Software Version Control, Data Pipelines, Automation Anywhere, Programming Languages - **Published:** August 19, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-ai-engineer-los-angeles-ca--d81de549-a0c4-4db8-8bf0-fa09fff3c9d6 ## About the Role * 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) * Datastores: MySQL, PostgreSQL, Snowflake * Cloud: AWS * Version control: Git & GitHub * AI Tooling: Copilot on GitHub and Claude Code * Observability: Datadog, Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Automation, Business Processes, Channel Strategies, Cloud Computing, Customer Experience, Customer/Client Research, Data Management, Data Quality, Data Warehousing, Ecosystems, Engineering, Financial Operations, Git, GitHub, Java, Machine Tool, MySQL, PostgreSQL, Problem Solving Skills, Process Analysis, Product Engineering, Professional License, Python Programming/Scripting Language, Quality Management, React.js, Real Estate, Requirements Management, Retail, SQL (Structured Query Language), Scala Programming Language, Semantic Search, Snowflake Schema, Software Engineering, Software as a Service (SaaS), Source Code/Configuration Management (SCM), Standards Development, System Architecture, Systems Reliability ## Description 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, When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to $200,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. 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. #LI-CM1 #LI-Onsite 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. As part of this process, 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. 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. ## Related Videos - [The AI-Ready Stack: Rethinking the Engineering Org of the Future](https://www.wearedevelopers.com/videos/1706-the-ai-ready-stack-rethinking-the-engineering-org-of-the-future) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Branch your database like your code: How schema changes and pull requests go hand in hand](https://www.wearedevelopers.com/videos/350-branch-your-database-like-your-code-how-schema-changes-and-pull-requests-go-hand-in-hand) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)