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Ai Agent Developer Jobs in Florida (NOW HIRING)

Engineer prompt frameworks, orchestration logic, multi-agent handoffs, and a reusable component library that accelerates future deployments. Enterprise Microsoft AI Platform Leadership * Architect ...

Senior Agentic (AI) Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that ... Architect agent graphs in LangGraph (or comparable - CrewAI, AutoGen, Claude Agent SDK) with ...

Senior Agentic (AI) Engineer

Orlando, FL · On-site +1

$97K - $134K/yr

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that ... Architect agent graphs in LangGraph (or comparable - CrewAI, AutoGen, Claude Agent SDK) with ...

Senior Agentic (AI) Engineer

Miami, FL · On-site +1

$99K - $137K/yr

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that ... Architect agent graphs in LangGraph (or comparable - CrewAI, AutoGen, Claude Agent SDK) with ...

Senior Agentic (AI) Engineer

Orlando, FL · On-site +1

$97K - $134K/yr

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that ... Architect agent graphs in LangGraph (or comparable - CrewAI, AutoGen, Claude Agent SDK) with ...

Our AI Agent suite and SmartFlow platform are deployed at scale across some of the nation's most ... As a Solutions Engineer, you will play a critical role in understanding our clients' business ...

Senior Ai Solutions Engineer

Dania Beach, FL · On-site +1

$54.25 - $70/hr

Our AI Agent suite and SmartFlow platform are deployed at scale across some of the nation's most ... As a Solutions Engineer, you will play a critical role in understanding our clients' business ...

If you're a strong offensive engineer who has built real AI agents, or a strong AI/agent builder with serious hands-on offensive experience, we want to hear from you. Required Qualifications:

If you're a strong offensive engineer who has built real AI agents, or a strong AI/agent builder with serious hands-on offensive experience, we want to hear from you. Required Qualifications:

Designing and delivering embedded artificial intelligence (AI) agent capabilities within Oracle ... Bachelor's degree or higher in computer science, information technology, software engineering ...

Designing and delivering embedded artificial intelligence (AI) agent capabilities within Oracle ... Bachelor's degree or higher in computer science, information technology, software engineering ...

If you're a strong offensive engineer who has built real AI agents, or a strong AI/agent builder with serious hands-on offensive experience, we want to hear from you. Required Qualifications:

Showing results 41-60

Ai Agent Developer information

See Florida salary details

$21.7K

$35.8K

$74.4K

How much do ai agent developer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for ai agent developer in Florida is $35,818.00, according to ZipRecruiter salary data. Most workers in this role earn between $25,400.00 and $38,100.00 per year, depending on experience, location, and employer.

Is an AI agent developer a good career?

An AI agent developer is a promising career with high demand due to the growth of artificial intelligence applications. It typically requires skills in programming, machine learning, and data analysis, and offers opportunities in various industries such as technology, healthcare, and finance. The field often provides competitive salaries and continuous learning opportunities as AI technology evolves.

What is an AI agent developer?

An AI Agent Developer designs, builds, and optimizes intelligent software agents that can autonomously perform tasks, make decisions, and interact with users or other systems. This role involves working with machine learning, natural language processing, reinforcement learning, and multi-agent systems to create adaptive and efficient AI solutions. Developers in this field often utilize frameworks like LangChain, AutoGPT, or OpenAI API to enhance agent capabilities. Their work spans various industries, including customer service automation, finance, gaming, and robotics.

What are some common challenges faced by AI agent developers in their daily work?

AI Agent Developers often encounter challenges such as managing large and complex datasets, optimizing agent performance, and ensuring models behave ethically and reliably in unpredictable environments. It’s common to iterate frequently on prototypes, test against edge cases, and fine-tune algorithms based on real-world feedback. Collaboration with data scientists, software engineers, and stakeholders is crucial to understand project goals and adapt solutions accordingly. Overcoming these challenges requires technical flexibility, persistence, and a strong teamwork mindset.

What are the key skills and qualifications needed to thrive in the AI agent developer position, and why are they important?

To thrive as an AI Agent Developer, you need strong programming skills (particularly in Python), a deep understanding of machine learning concepts, and a relevant degree in computer science or a related field. Expertise with AI development frameworks (such as TensorFlow, PyTorch, or OpenAI Gym), cloud platforms, and potentially certifications in AI or data science are common requirements. Creative problem-solving, effective teamwork, and strong communication skills help distinguish top performers in this role. These competencies are essential to designing, implementing, and refining intelligent agents that function reliably in real-world applications.

How to become an AI agent developer?

To become an AI agent developer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of AI concepts such as natural language processing and reinforcement learning. Gaining relevant education through degrees or online courses and building a portfolio of AI projects can also enhance your qualifications.

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

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

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

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

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

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

What cities in Florida are hiring for Ai Agent Developer jobs?

Cities in Florida with the most Ai Agent Developer job openings:

Infographic showing various Ai Agent Developer job openings in Florida as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $35,818 per year, or $17.2 per hour.

Lead Contact Center Technology Engineer

Shift4 Payments, Inc.

Tampa, FL • On-site, Remote

$96K - $127K/yr

Full-time

Posted 28 days ago


Job description

Shift4 (NYSE: FOUR) is boldly redefining commerce by simplifying complex payments ecosystems across the world. As the leader in commerce-enabling technology, Shift4 powers billions of transactions annually for hundreds of thousands of businesses in virtually every industry. For more information, visit www.shift4.com.


Lead Contact Center Technology Engineer


About Shift4

Shift4 (NYSE: FOUR) is boldly redefining commerce by simplifying complex payments ecosystems across the world. As the leader in commerce-enabling technology, Shift4 powers billions of transactions annually for hundreds of thousands of businesses in virtually every industry.

This role is onsite and can be based at any of the following Shift4 locations:
Center Valley, PA (Preferred) / Atlanta, GA / Tampa, FL / Las Vegas, NV

About the Role

The Lead Contact Center Technology Engineer is the senior technical leader responsible for the design, implementation, support, and evolution of Shift4's contact center technology ecosystem.

This role serves as the primary technical authority for CCaaS platforms, IVR architecture, digital channels, automation, and customer experience technologies. The Lead Engineer partners closely with the Director of Contact Center Technology to translate strategic objectives into scalable technical solutions while remaining heavily involved in hands-on engineering, platform administration, troubleshooting, and delivery activities.

While Shift4 currently leverages NICE CXone, this role is platform-agnostic and requires expertise that can be applied across evolving CCaaS and customer engagement technologies.

The ideal candidate combines deep contact center technology experience with strong solution design skills and practical knowledge of emerging AI-enabled customer experience capabilities.

Key ResponsibilitiesTechnical Leadership
  • Serve as the technical lead for contact center platforms, including IVR, routing, digital channels, automation, and AI-enabled customer experiences.

  • Define and maintain technical standards, design patterns, and best practices.

  • Review and guide technical designs, ensuring scalability, reliability, and alignment with enterprise architecture.

  • Provide technical leadership and mentorship to engineering team members.

  • Act as the primary escalation point for complex technical issues and architectural decisions.

Engineering & Platform Delivery
  • Design, build, and maintain IVR workflows, routing logic, automation, integrations, and digital customer journeys.

  • Implement and support voice, messaging, chat, and emerging customer engagement channels.

  • Lead technical execution of platform enhancements, migrations, acquisition integrations, and strategic initiatives.

  • Translate business and operational requirements into scalable technology solutions.

  • Support platform administration, configuration, troubleshooting, and operational support activities.

AI & Automation
  • Evaluate and implement AI-powered capabilities that improve customer self-service, agent productivity, and operational efficiency.

  • Support conversational AI, agent assist, workflow automation, and emerging customer experience technologies.

  • Partner with Operations, Product, and Customer Experience teams to identify opportunities for automation and customer journey optimization.

  • Help shape the adoption of platforms such as Cognigy, NICE CXone AI, and future AI-enabled customer engagement technologies.

Collaboration & Governance
  • Partner with Technology, Product, Operations, Data, and Customer Experience teams on initiatives impacting the contact center.

  • Participate in change management, release planning, and solution governance processes.

  • Contribute to platform strategy, roadmap planning, and technology evaluations.

  • Support global expansion, platform standardization, and acquisition integration efforts.

QualificationsRequired
  • 7+ years of experience in Contact Center Technology, CCaaS platforms, or related customer experience technologies.

  • Deep hands-on experience with enterprise CCaaS platforms such as NICE CXone, Genesys, Five9, Talkdesk, Amazon Connect, or similar solutions.

  • Strong expertise in IVR design, routing strategies, platform scripting, workflow automation, and digital channels.

  • Experience serving as a technical lead, architect, or senior engineer within complex enterprise environments.

  • Experience supporting both production operations and project-based delivery.

  • Strong understanding of integrations, APIs, enterprise system architecture, and operational support models.

  • Experience implementing conversational AI, agent assist, chatbots, workflow automation, or similar customer experience technologies.

  • Ability to evaluate emerging technologies and translate business requirements into scalable technical solutions.

Preferred
  • Experience with NICE CXone Studio or similar scripting environments.

  • Experience with Cognigy, NICE CXone AI, Omilia, Google CCAI, Amazon Lex, Microsoft Copilot Studio, or comparable platforms.

  • Experience implementing WhatsApp, SMS, web chat, or other digital engagement channels.

  • Familiarity with LLMs, retrieval-augmented generation (RAG), prompt engineering, or AI orchestration concepts.

  • Experience with CCaaS migrations, platform consolidations, or acquisition integrations.

  • Experience in FinTech, Payments, SaaS, or other highly regulated industries.

  • Experience supporting global and multi-region contact center operations.

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