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From Home Ai Developer Jobs in Florida (NOW HIRING)

Apex Systems

Software Engineer

Juno Beach, FL · On-site

Job#: 3044122 AI Developer IV (Principal AI Engineer) Overview We are seeking a highly experienced ... Typical project teams range from 1-5 engineers * Agile delivery model with quarterly planning and ...

Tenex

Principal AI Engineer

Sarasota, FL · On-site

$180 - $240/hr

As a Principal AI Engineer at TENEX, you will be a key technical leader responsible for designing ... This role will require Monday - Thursday onsite in any of our locations. WFH Friday. Job ...

Fortegra

Senior Full Stack AI Engineer

Jacksonville, FL · On-site

$110K - $190K/yr

Use modern AI developer tools to dramatically accelerate development. * Build production applications from prototype to deployment. * Help shape Fortegra's next generation product platform. * Join a ...

Tata Consultancy Service Limited

AI Engineer

Sunrise, FL · On-site

$100K - $130K/yr

Build and optimize end-to-end machine learning pipelines, from data ingestion to model deployment ... Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter ...

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All JobsAi Developer JobsFrom Home Ai Developer JobsFrom Home Ai Developer Jobs in Florida

From Home Ai Developer information

What does a from home AI developer do?

A From Home AI Developer designs, develops, and implements artificial intelligence solutions while working remotely. Their tasks often include building machine learning models, creating algorithms, analyzing data, and integrating AI functionalities into software applications. They typically collaborate with other team members online, using various communication and development tools. This role requires strong programming skills, expertise in AI frameworks, and the ability to work independently from a remote location.

What are the key skills and qualifications needed to thrive as a from home AI developer, and why are they important?

To thrive as a From Home AI Developer, you need a strong background in computer science, programming (Python, Java, or C++), and machine learning concepts, often supported by a relevant degree or certifications. Familiarity with AI frameworks (TensorFlow, PyTorch), cloud platforms (AWS, Azure), and version control systems (Git) is typically required. Critical thinking, self-motivation, and effective remote communication are essential soft skills for success in a distributed team environment. These skills enable efficient development, problem-solving, and collaboration, ensuring the delivery of robust AI solutions from a remote setting.

How do remote AI developers typically collaborate with team members when working from home?

Remote AI Developers often collaborate using a variety of digital tools, such as version control systems (like Git), video conferencing platforms, and project management software. Regular virtual meetings and code reviews are common to ensure alignment on project goals and maintain code quality. Effective communication skills and proactive updates are essential, as team members may be spread across different time zones. Most teams also use instant messaging apps for quick problem-solving and brainstorming, fostering a collaborative environment despite the distance.

What is the difference between From Home Ai Developer vs From Home Data Scientist?

AspectFrom Home Ai DeveloperFrom Home Data Scientist
Required CredentialsBachelor's in CS, AI, or related field; knowledge of machine learning frameworksBachelor's or higher in Statistics, CS, or related; strong analytical skills
Work EnvironmentRemote, tech companies, AI-focused projectsRemote, data-driven organizations, research or analytics teams
Employer & Industry UsageTech firms, startups, AI product companiesFinance, healthcare, tech, research institutions
Common Search & Comparison IntentUnderstanding roles in AI development from homeComparing data science roles with AI development

From Home Ai Developer and From Home Data Scientist share similarities in remote work settings and required technical skills. However, AI Developers focus on creating AI models and applications, while Data Scientists analyze data to extract insights. Both roles are vital in tech industries but serve different functions within AI and data analysis domains.

What are the most commonly searched types of Ai Developer jobs in Florida?

The most popular types of Ai Developer jobs in Florida are:

What are popular job titles related to From Home Ai Developer jobs in Florida?

For From Home Ai Developer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching From Home Ai Developer jobs in Florida look for?

The top searched job categories for From Home Ai Developer jobs in Florida are:

What cities in Florida are hiring for From Home Ai Developer jobs?

Cities in Florida with the most From Home Ai Developer job openings:

From Home Ai Developer jobs near you

AI Developer IV (Principal AI Engineer) || Remote

Cerebra Consulting Inc

Juno Beach, FL • On-site

Other

Posted 4 days ago

Job description

Cerebra Consulting Inc is a System Integrator and IT Services Solution provider with a focus on Big Data, Business Analytics, Cloud Solutions, Amazon Web Services, Salesforce, Oracle EBS, Peoplesoft, Hyperion, Oracle Configurator, Oracle CPQ, Oracle PLM and Custom Application Development. Utilizing solid business experience, industry-specific expertise, and proven methodologies, we consistently deliver measurable results for our customers. Cerebra has partnered with leading enterprise software companies and cloud providers such as Oracle, Salesforce, Amazon and able to leverage these partner relationships to deliver high-quality, end-to-end customer solutions that are targeted to the needs of each customer.

AI Developer IV (Principal AI Engineer)

Overview

We are seeking a highly experienced AI Developer IV (Principal AI Engineer) to provide technical vision, architectural leadership, and hands-on development expertise for enterprise-scale AI initiatives. This role serves as a strategic technical leader responsible for defining AI architecture, establishing technical standards, and leading complex AI transformations while remaining actively involved in solution design and software development.

The ideal candidate combines deep expertise in software engineering, cloud-native architecture, artificial intelligence, machine learning, and distributed systems with strong leadership and communication skills. This individual will partner closely with engineering, product, research, and executive stakeholders to drive the organization's AI-first software development strategy.

Position Details
  • Title: AI Developer IV / Principal AI Engineer
  • Location: Remote (Preferred) | Juno Beach, FL or St. Paul, MN
Position Summary

The AI Developer IV is a principal-level expert responsible for defining and owning enterprise-wide AI technical architecture while remaining hands-on in writing production code. This role provides organizational leadership for AI initiatives, leads highly complex and high-impact AI transformations, and serves as a trusted technical advisor to executive leadership.

The successful candidate will establish AI governance frameworks, influence long-term technology strategy, mentor senior engineering talent, and guide the adoption of emerging AI technologies across the organization. This position plays a critical role in advancing an AI-first engineering culture and driving innovation through modern software development practices.

Key Responsibilities
  • Define and lead the organization's enterprise AI architecture strategy.
  • Design, build, and deploy scalable AI-powered applications and distributed systems.
  • Provide technical leadership for large-scale AI transformation initiatives.
  • Develop production-quality software and remain hands-on with coding and solution implementation.
  • Partner with engineering, product management, research scientists, and business stakeholders to deliver strategic objectives.
  • Establish AI governance, best practices, security standards, and ethical AI frameworks.
  • Evaluate emerging AI technologies and recommend strategic investments.
  • Mentor senior engineers and cultivate future technical leaders.
  • Drive adoption of AI-assisted development tools and modern engineering practices.
  • Guide teams through architectural decisions involving cloud platforms, AI services, and data ecosystems.
  • Lead technical design reviews and influence enterprise-wide engineering standards.
  • Support multiple project teams operating in quarterly delivery cycles.
Team Environment
  • Cross-functional teams consisting of:
    • Software Engineers
    • Research Scientists
    • Product Managers
    • AI/ML Engineers
  • Typical project teams range from 1 5 engineers
  • Agile delivery model with quarterly planning and execution cycles
  • Strong focus on AI-first software engineering practices
  • Active use of AI-assisted development tooling
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related technical field
  • 15+ years of software engineering experience
  • Extensive experience designing and implementing enterprise-scale AI solutions
  • Expert-level Python development experience
  • Proven experience building scalable distributed systems
  • Strong understanding of AI/ML technologies and modern software architecture
  • Experience designing cloud-native applications within AWS and/or Google Cloud Platform environments
  • Strong expertise in infrastructure automation and Infrastructure as Code (Terraform)
  • Experience leading large technical programs and influencing organizational strategy
  • Excellent communication and stakeholder management skills
Required Technical Skills Backend Development
  • Python (required)
  • Strong backend engineering experience
  • API and microservices design
Frontend Development
  • Vue.js (preferred)
  • React or Angular acceptable
Cloud & Infrastructure
  • AWS and/or Google Cloud Platform (Google Cloud Platform)
  • Terraform
  • Cloud-native architecture
  • Distributed systems
DevOps & Development Tools
  • GitLab
  • CI/CD pipelines
  • Infrastructure automation
Artificial Intelligence
  • Generative AI technologies
  • AI application architecture
  • AI-assisted development tools
  • Experience with tools such as:
    • Claude
    • Codex
    • GitHub Copilot
    • Similar AI engineering platforms
Preferred Qualifications
  • Recognized subject matter expert in AI/ML with enterprise-scale impact
  • Experience establishing AI governance frameworks
  • Experience leading AI transformation programs
  • Strong background in data platforms and data ecosystems
  • Advanced understanding of AI strategy and emerging technology trends
  • Demonstrated success mentoring senior engineers and technical leaders
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