Artificial Intelligence Engineer

Brooksource; Miami (FL); Hybrid; USD 150,000 - 200,000; Full time

Benefits offered by this job

Health insurance

401k match

Paid time off

Employee assistance

Job summary

Brooksource seeks a Senior AI Engineer to design and scale AI-powered recommendation products for guest personalization, pricing, and revenue optimization. You will join an AI Engineering team delivering production-grade solutions built primarily in Python and deployed in Databricks environments.

The role emphasizes turning ML models into reliable software, building CI/CD pipelines, and collaborating with data scientists and stakeholders to meet business objectives while improving scalability

Qualifications

• 4–5+ years of software, AI/ML, or data engineering experience.
• Strong Python development skills and production-quality code.
• Hands-on experience deploying AI/ML solutions in production.
• Experience with Databricks and modern data/AI environments.
• CI/CD and automated deployment pipelines; Git and source-control.
• Ability to independently solve ambiguous technical problems and align with business goals.
• Strong written and verbal communication skills.

Responsibilities

• Design, build, and enhance production-grade AI-powered recommendation systems.
• Translate AI/ML models 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 and deployment processes.
• Integrate LLMs, predictive models, and business logic into recommendation workflows.
• Collaborate with AI Engineers, Data Scientists, and stakeholders to translate objectives into solutions.
• Improve system scalability, reliability, maintainability, and performance.
• Independently troubleshoot problems from concept to production.
• Support continuous improvement and production monitoring.

Skills

Python

AI/ML production

Databricks

CI/CD pipelines

Git

Monitoring

Communication

Job description

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
• 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.

Brooksource, Medasource, and Calculated Hire are part of the Eight Eleven Group family of companies and operate under Eight Eleven Group, LLC. All employees receive the same benefits, policies, and terms of employment.

EEO:

We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship, pregnancy (including childbirth, lactation, and related conditions), or any other protected status in accordance with applicable federal, state, and local laws.

Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee’s needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.

Pay Disclaimer:

The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.