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Metro role plus broad full-stack/AI skillset increases applicant competition.
Strong bias toward financial services and production AI experience reduces cross-industry transferability.
Explicit 7+ years, fintech/regulatory experience and production AI skills raise screening strictness.
Own the design, build, and deployment of full-stack AI applications using React, Python, and AWS for financial markets.
Partner with product and business stakeholders to translate complex financial services challenges into production AI solutions with measurable business impact.
Manage the end-to-end delivery of AI products from prototype through scalable, secure, and maintainable production environments, including CI/CD and observability.
7+ years professional software engineering experience with ownership of production-grade applications.
Strong full-stack expertise including frontend (React or comparable), backend (Python), and cloud (AWS) development.
Experience building secure, scalable backend services and APIs, and hands-on with containers, CI/CD, testing, and infrastructure as code (Docker, Kubernetes, Terraform).
Experience within Financial Services, fintech, capital markets, banking or comparable regulated environment.
Experienced in shipping AI and ML-based production applications with knowledge of LLMs, agentic workflows, and real-time data integrations.
Ability to connect technical decisions with commercial outcomes in regulated financial domains such as trading, risk, and investment management.
Comfortable collaborating remotely with senior US-based product and engineering teams and mentoring other engineers.