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Remote Generative Ai Engineer Jobs in Boca Raton, FL

... Engineering teams. This is a proactive, customer-facing role focused on building relationships ... Familiarity with AI tools or generative AI applications. * Experience working with ticketing ...

... Engineering teams. This is a proactive, customer-facing role focused on building relationships ... Familiarity with AI tools or generative AI applications. * Experience working with ticketing ...

... Engineering teams. This is a proactive, customer-facing role focused on building relationships ... Familiarity with AI tools or generative AI applications. * Experience working with ticketing ...

... Engineering teams. This is a proactive, customer-facing role focused on building relationships ... Familiarity with AI tools or generative AI applications. * Experience working with ticketing ...

... Engineering teams. This is a proactive, customer-facing role focused on building relationships ... Familiarity with AI tools or generative AI applications. * Experience working with ticketing ...

... Engineering teams. This is a proactive, customer-facing role focused on building relationships ... Familiarity with AI tools or generative AI applications. * Experience working with ticketing ...

This role sits at the intersection of software engineering and AI, helping us build intelligent ... Flexible remote work options * Open door policy to CEO and all Leadership team * One-on-one ...

Showing results 21-40

Remote Generative Ai Engineer information

See Boca Raton, FL salary details

$36.1K

$110K

$181.7K

How much do remote generative ai engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote generative ai engineer in Boca Raton, FL is $109,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,800.00 and $143,800.00 per year, depending on experience, location, and employer.

What is the difference between Remote Generative Ai Engineer vs Remote Machine Learning Engineer?

AspectRemote Generative Ai EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related; experience with generative modelsBachelor's or higher in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentCollaborates on AI model development, focuses on generative models like GPT, GANsDevelops and deploys ML models for various applications, including predictive analytics
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, and data-driven industries

While both roles involve AI and machine learning, a Remote Generative Ai Engineer specializes in creating models that generate content, such as text or images, using generative techniques. In contrast, a Remote Machine Learning Engineer works on a broader range of ML models for predictive or classification tasks. The roles often overlap but differ in focus and application.

What are the key skills and qualifications needed to thrive as a remote generative AI engineer?

To thrive as a Remote Generative AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically with a relevant degree and experience in building AI models. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and version control systems like Git is essential. Strong problem-solving, self-motivation, and effective remote communication set outstanding engineers apart in this role. These skills are crucial for developing innovative AI solutions, collaborating across distributed teams, and delivering impactful results in a remote work environment.

How do remote generative AI engineers typically collaborate with cross-functional teams to deliver AI-driven solutions?

Remote Generative AI Engineers often work closely with data scientists, product managers, and software engineers to integrate generative AI models into products or services. Collaboration is usually facilitated through virtual meetings, code repositories, and project management tools, enabling seamless communication across different time zones. Regular check-ins and sprint reviews help ensure alignment on goals, while documentation and clear communication are essential for maintaining project momentum. This collaborative environment not only fosters innovation but also allows engineers to gain exposure to a variety of perspectives and expertise.

What is a remote generative AI engineer?

A Remote Generative AI Engineer is a technology professional who specializes in developing, training, and deploying artificial intelligence models that can generate new content—such as text, images, audio, or video—while working from a remote location. These engineers typically work with advanced machine learning techniques like deep learning, neural networks, and large language models. Their responsibilities often include designing algorithms, optimizing model performance, and collaborating with distributed teams to build innovative AI-driven solutions. The remote aspect allows them to perform their duties from anywhere with internet access, offering flexibility and access to global opportunities.
What are the most commonly searched types of Generative Ai Engineer jobs in Boca Raton, FL? The most popular types of Generative Ai Engineer jobs in Boca Raton, FL are:
What are popular job titles related to Remote Generative Ai Engineer jobs in Boca Raton, FL? For Remote Generative Ai Engineer jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Remote Generative Ai Engineer jobs in Boca Raton, FL look for? The top searched job categories for Remote Generative Ai Engineer jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Remote Generative Ai Engineer jobs? Cities near Boca Raton, FL with the most Remote Generative Ai Engineer job openings:
Infographic showing various Remote Generative Ai Engineer job openings in Boca Raton, FL as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $109,951 per year, or $52.9 per hour.

Customer Success Manager

AJAIA

Fort Lauderdale, FL • Remote

Full-time

Re-posted 12 days ago


Job description

Position Overview

RDAI Labs develops practical, ethical AI solutions for education through its flagship platform, Ethos Intelligence, which helps teachers, students, and school districts integrate AI into everyday learning. Our products are already supporting one of the largest K-12 school networks in the United States, serving more than 80,000 students, 5,000 teachers, and 100 schools, with continued growth ahead.

As the Customer Success Manager, you will own the customer journey after the sale, from onboarding and product adoption to ongoing support and customer success. You will work directly with teachers, school leaders, and district technology teams to ensure they get the most value from Ethos Intelligence while serving as the bridge between customers and our Product and Engineering teams.

This is a proactive, customer-facing role focused on building relationships, solving problems, improving support resources, and helping shape the future of our products through customer feedback.

Requirements

  • Bachelor's degree or equivalent experience
  • 3–6 years of experience in one or more of the following areas:
    • Customer success or customer support in a SaaS environment
    • Product support or technical customer care
    • EdTech platform support or implementation
  • Strong written communication skills with the ability to clearly explain software functionality to non-technical users
  • Demonstrated ability to troubleshoot product issues and guide users through solutions
  • Experience using SaaS platforms and help desk tools
  • Strong organizational skills and ability to manage multiple customer issues simultaneously
  • Customer-first mindset and commitment to high-quality user experiences

Preferred Requirements:

  • Experience working in or directly supporting the education sector (e.g., K-12 schools, districts, teachers, or students), with an understanding of how educators and administrators actually use software day to day
  • Familiarity with AI tools or generative AI applications.
  • Experience working with ticketing platforms such as Zendesk, Intercom, Help Scout, or similar tools
  • Familiarity with prompt design, API integrations, or SaaS troubleshooting workflows
  • Experience creating help center documentation or knowledge bases
  • Ability to reproduce bugs and clearly document technical issues

Benefits

  • Competitive base salary + performance incentives
  • Professional development opportunities