Brooksource

Posted 10 days ago

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Senior AI Engineer – Recommendation Systems Location: Miami, FL – Hybrid, 4 days onsite / 1 day remote Position Overview Our enterprise cruise line client is seeking a Senior AI Engineer to help build and scale AI-powered recommendation products supporting guest personalization, pricing, and revenue optimization. This role sits at the intersection of AI/ML and software engineering. The ideal candidate brings strong AI and data science fundamentals but, more importantly, knows how to turn models and AI capabilities into reliable, scalable production applications. You will join a growing AI Engineering team responsible for evolving recommendation-engine initiatives from early solutions and MVPs into enterprise-grade products used across the business. What You'll Do • Design, build, and enhance production-grade AI-powered recommendation systems. • Translate AI/ML models and prototypes into scalable, reliable software solutions. • Develop production-quality applications and services primarily using Python. • Build and operationalize AI/ML solutions within Databricks environments. • Develop and maintain CI/CD pipelines, deployment processes, and version-control practices. • Integrate LLMs, predictive models, business logic, and behavioral data into recommendation workflows. • Use AI-assisted development tools and coding agents to accelerate engineering and problem solving. • Collaborate with AI Engineers, Data Scientists, and business stakeholders to translate business objectives into technical solutions. • Improve system scalability, reliability, maintainability, and performance as AI products mature. • Independently troubleshoot problems and drive technical solutions from concept through production. Required Qualifications • 4–5+ years of relevant software, AI/ML, or data engineering experience, with demonstrated senior-level engineering maturity. • Strong Python development skills and experience writing production-quality code. • Hands-on experience building and operationalizing AI/ML solutions in production. • Experience with Databricks and modern data/AI environments. • Strong understanding of software engineering fundamentals, including: • CI/CD and automated deployment pipelines • Git and source-control best practices • Testing and code quality • Modular, maintainable application design • Production monitoring and troubleshooting • Experience integrating machine learning models into applications, services, or production workflows. • Ability to independently solve ambiguous technical problems and understand the broader business objective behind a solution. • Strong written and verbal communication skills. Preferred Qualifications • Experience building recommendation engines, personalization platforms, or propensity models. • Experience combining LLMs with traditional machine learning and business-rule systems. • Understanding of Data Science workflows and common ML modeling approaches. • Experience taking prototypes or MVPs and scaling them into enterprise-grade applications. • Experience with cloud-based AI architectures and APIs/services supporting production ML applications. • Familiarity with coding agents and AI-assisted development tools.