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Conversational Ai Developer Jobs in Florida (NOW HIRING)

Hopper

Build working prototypes using AI coding tools where they beat a written spec, to test conversation ... The ability to write enough code to get a prototype working without waiting on an engineer ...

KPMG US

Senior Associate, AI Engineer

Tampa, FL · On-site

$52.25 - $67.25/hr

... test AI models, conversational agents, and workflow automation components under the guidance of ... engineering, or cloud technologies • Bachelor's degree from an accredited college or university ...

IntelePeer

AI Agent Engineer

Dania Beach, FL · On-site +1

$102K - $137K/yr

Our Conversational AI Platform instantly improves your customers' communications experience ... Our no-code templates, low-code, co-creation, and developer API options provide you with simple ...

IntelePeer

AI Agent Engineer

Dania Beach, FL

$102K - $137K/yr

Our Conversational AI Platform instantly improves your customers' communications experience ... Our no-code templates, low-code, co-creation, and developer API options provide you with simple ...

Lennar

AI Agent Developer, ServiceNow

Miami, FL

$51.75 - $71/hr

Working at the intersection of HR strategy, conversational AI, and platform engineering, you will translate complex HR Service Delivery (HRSD) processes into production-grade Now Assist skills and AI ...

Lennar Corp

AI Agent Developer, ServiceNow

Miami, FL · On-site

$51.75 - $71/hr

Working at the intersection of HR strategy, conversational AI, and platform engineering, you will translate complex HR Service Delivery (HRSD) processes into production-grade Now Assist skills and AI ...

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Conversational Ai Developer information

What is a conversational AI developer?

A Conversational AI Developer is a professional who designs, builds, and maintains artificial intelligence systems that enable computers to interact with humans using natural language. These developers create chatbots, virtual assistants, and voice-enabled applications that can understand and respond to user input in a conversational manner. Their work often involves programming, natural language processing (NLP), machine learning, and integrating AI systems with various platforms or devices. They play a key role in improving user experiences through more intuitive, human-like interactions with technology.

What are the key skills and qualifications needed to thrive as a conversational AI developer?

To thrive as a Conversational AI Developer, you need a solid background in computer science, natural language processing (NLP), and machine learning, often supported by a relevant degree or certifications. Familiarity with tools like Python, TensorFlow, NLP libraries (such as spaCy or NLTK), and conversational platforms (like Dialogflow or Microsoft Bot Framework) is typically required. Strong problem-solving abilities, creativity, and effective communication skills help developers design intuitive and engaging conversational experiences. These skills are crucial for building AI systems that understand and respond accurately to human language, ensuring user satisfaction and business value.

What are some common challenges conversational AI developers face when optimizing chatbot performance?

Conversational AI Developers often encounter challenges such as accurately interpreting user intent, handling ambiguous or unexpected queries, and maintaining natural, engaging dialogue flows. Balancing the need for robust natural language understanding with system efficiency and scalability is also key. Additionally, integrating the chatbot with existing platforms and ensuring data privacy can require careful planning and cross-functional collaboration.

What is the difference between Conversational Ai Developer vs Chatbot Developer?

AspectConversational Ai DeveloperChatbot Developer
Required CredentialsProgramming skills, AI/machine learning knowledge, NLP expertiseProgramming skills, basic AI understanding, scripting
Work EnvironmentTech companies, AI startups, enterprise AI teamsCustomer service, marketing, small to medium businesses
Industry UsageDevelops complex conversational systems with AI capabilitiesBuilds rule-based or simple chatbots for specific tasks
Search & Comparison IntentUnderstanding AI-driven conversational systemsCreating basic automated chat interactions

Conversational Ai Developers focus on building advanced, AI-powered conversational systems using NLP and machine learning, often working in tech or enterprise environments. Chatbot Developers typically create rule-based or simple chatbots for customer service or marketing, with less emphasis on AI complexity. While both roles involve programming and scripting, Conversational Ai Developers require deeper AI and NLP expertise for sophisticated interactions.

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

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

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

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

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

Conversational Ai Developer jobs near you
Infographic showing various Conversational Ai Developer job openings in Florida as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Developer - CCaaS & Microsoft Copilot

Beacon Systems, Inc

Pensacola, FL • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

About Beacon Systems, Inc

Beacon Systems, Inc, delivers Program Management, Science, Engineering, and Technology Solutions to Federal, Commercial, State, and Local Agencies. We are a subsidiary of Radiant Digital Solutions. Our Technology support to many DoD Agencies, NASA, Voice of America, FDA, and State Agencies such as State of FL, RI, MS, ND, VA, and WV extends our delivery of solutions worldwide.

Job Title: AI Developer – CCaaS & Microsoft Copilot

Location: Pensacola, FL or Vienna, VA)

Duration: Long Term

Job Description:

We are seeking an AI Developer in Pensacola, FL, to build and optimize secure, enterprise-grade conversational AI solutions and real-time agent-assist capabilities for our client Contact Center as a Service (CCaaS) platform. You will leverage Microsoft Copilot Studio, Azure OpenAI, and Power Platform to automate member self-service, enhance contact center agent productivity, and deliver seamless digital banking experiences within strict financial compliance standards (NCUA, GLBA, PCI-DSS).

Key Responsibilities

  •  Build AI & Copilot Agents: Design and deploy Copilots, virtual assistants, and real-time agent-assist tools using Microsoft Copilot Studio, Azure OpenAI Service, and RAG architectures grounded in credit union knowledge bases.
  •  CCaaS & Core Systems Integration: Connect AI Copilots to CCaaS platforms (e.g., Dynamics 365 Contact Center, Genesys Cloud, or NICE CXone) and core banking/CRM systems via REST APIs, Power Automate, and Azure Functions.
  •  Member Self-Service & Agent Assist: Enable automated deflection for routine member inquiries (balances, card management, loan status) and provide live agents with call summaries, intent detection, and next-best-action guidance.
  •  Compliance & Performance: Ensure strict adherence to financial data privacy, prompt security, and Responsible AI guidelines while tuning model accuracy to improve CSAT, AHT, and First Contact Resolution (FCR).

Requirements & Qualifications

  •  Experience: 3+ years in software engineering, with 2+ years focused on Microsoft AI and conversational AI technologies. Financial services/credit union background preferred.
  •  Microsoft AI Stack: Strong hands-on experience with Microsoft Copilot Studio, Azure OpenAI, Azure AI Search, and Power Platform (Dataverse, Power Automate).
  •  CCaaS Expertise: Proven experience integrating conversational AI or voicebots with contact center ecosystems (Omnichannel/Dynamics 365, Genesys, NICE CXone, etc.).
  •  Technical Skills: Proficiency in Python, C#, or TypeScript; strong working knowledge of RESTful APIs, Webhooks, NLU, and Prompt Engineering.

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