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Chatbot Developer Jobs in Florida (NOW HIRING)

Félix

Data Analyst, Fraud (Miami)

Miami, FL · On-site

Our core product is an AI‑powered chatbot built on WhatsApp, allowing our users to send money ... Strong knowledge of reporting packages (Looker, Tableau, or similar) and programming (Python ...

Félix

Senior Growth Product Manager (Miami)

Miami, FL · On-site

$121K - $159K/yr

Our core product is an AI-powered chatbot built on WhatsApp, allowing our users to send money home ... You will sit at the intersection of Growth, Product, Design, Engineering, Data, and Marketing ...

Félix

Analytics Engineer, Payments (Miami)

Miami, FL · On-site

Our core product is an AI-powered chatbot built on WhatsApp, allowing our users to send money home as easily as sending a text message. We leverage cutting-edge technology like AI, blockchain, and ...

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Chatbot Developer information

See Florida salary details

$55.7K

$70.1K

$94.5K

How much do chatbot developer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for chatbot developer in Florida is $70,058.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,800.00 and $71,000.00 per year, depending on experience, location, and employer.

Which 5 jobs will survive AI?

Chatbot Developers are likely to continue being in demand as AI advances because they design, implement, and maintain conversational AI systems that require human oversight and creativity. Jobs that involve complex problem-solving, emotional intelligence, and specialized skills—such as healthcare professionals, educators, software engineers, data scientists, and skilled tradespeople—are also expected to persist despite AI automation. These roles often require human judgment, adaptability, and interpersonal skills that AI cannot fully replicate.

What are some common challenges Chatbot Developers face when integrating chatbots with existing systems?

One common challenge Chatbot Developers encounter is ensuring seamless integration of chatbots with legacy systems and diverse databases, which may have inconsistent data formats or limited APIs. Developers often need to troubleshoot compatibility issues, manage security protocols, and handle real-time data synchronization. Close collaboration with IT teams and clear documentation are essential for successful integration and ongoing maintenance. Overcoming these challenges can lead to more robust and scalable chatbot solutions.

Is chatbot developer a good career?

A chatbot developer is a role focused on designing and building conversational AI systems using programming languages, natural language processing, and machine learning tools. It is a growing field with demand across industries such as customer service, healthcare, and finance, offering opportunities for specialization and career advancement. Success in this role often requires strong technical skills, problem-solving abilities, and familiarity with chatbot platforms and development environments.

What Does a Chatbot Developer Do?

As a chatbot developer, you create applications that automate customer services or other communication processes. You design programs that use artificial intelligence to communicate with humans via text or audio. You develop chatbot programs so that they can communicate in a variety of scenarios. You test your application and debug it if necessary. Your duties include reviewing and simplifying code when needed. As a chatbot developer, you may also help companies implement bots in their operations. You often work with established AI platforms such as Microsoft Azure Cognitive Services and use a variety of computer languages, including Python, C++, and JavaScript.

How to become a chatbot developer?

A chatbot developer typically needs a background in programming languages such as Python, JavaScript, or Java, along with knowledge of natural language processing and machine learning. Gaining experience with chatbot development platforms like Dialogflow, Microsoft Bot Framework, or Rasa is also important, and earning relevant certifications can enhance job prospects.

What are the key skills and qualifications needed to thrive as a Chatbot Developer, and why are they important?

To thrive as a Chatbot Developer, you need expertise in programming languages like Python or JavaScript, a solid understanding of natural language processing (NLP), and experience with chatbot frameworks such as Dialogflow or Microsoft Bot Framework. Familiarity with cloud platforms, APIs, and version control systems (e.g., Git) is also commonly required, along with certifications in AI or related fields being advantageous. Strong problem-solving skills, creativity, and effective communication help developers design user-friendly and intuitive conversational experiences. These skills ensure the creation of reliable, scalable, and engaging chatbots that effectively address user needs and business goals.

What are Chatbot Developers?

Chatbot Developers are professionals who design, build, and maintain conversational programs, often using artificial intelligence or scripted logic, to interact with users via messaging platforms, websites, or apps. They work with programming languages, natural language processing (NLP), and machine learning frameworks to create chatbots that can answer questions, provide customer support, or automate tasks. Their role involves understanding user needs, integrating chatbots with existing systems, and ensuring a seamless, human-like conversational experience.

What is the difference between Chatbot Developer vs AI Developer?

AspectChatbot DeveloperAI Developer
Required CredentialsProgramming skills, knowledge of chatbot platforms, basic AI understandingAdvanced AI/ML certifications, programming, data science background
Work EnvironmentTech companies, customer service, e-commerce, startupsResearch labs, tech firms, industries applying AI solutions
Employer & Industry UsageFocus on conversational interfaces, customer engagementBroader AI applications, including machine learning, NLP, robotics
Search & Comparison IntentUnderstanding chatbot roles, skills, and job scopeExploring broader AI career paths and skills

While both roles involve AI concepts, a Chatbot Developer specializes in creating conversational interfaces for customer engagement, whereas an AI Developer works on broader artificial intelligence applications, including machine learning and data analysis. The roles share overlapping skills but differ in scope and industry focus.

How much do chatbot developers make?

Chatbot developers typically earn between $70,000 and $120,000 annually, depending on experience, location, and skill level. Entry-level positions may start lower, while experienced developers with expertise in AI, natural language processing, and programming languages like Python or JavaScript can earn higher salaries.
More about Chatbot Developer jobs
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What cities in Florida are hiring for Chatbot Developer jobs? Cities in Florida with the most Chatbot Developer job openings:
Chatbot Developer jobs near you
Senior AI System Architect (Outcome-Based AI

Senior AI System Architect (Outcome-Based AI

Dynatech International LLC

Palm Bay, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 7 days ago

Job description

Job Title: Senior AI System Architect (Outcome-Based AI Operations)

Department: Information Technology

Reports to: Vice President of Information Technology

Location: Palm Bay, FL

Company Overview

Company Overview: Established in 1973, Dynatech International is a Commercial and Defense supply chain company providing long term, complex procurement, engine overhaul, rotable and repair management services, manufacturing, and kitting solutions across land, air, sea, and space programs. Dynatech’s proprietary database, the Defense Logistics Management System (DLMS®), empowers us to mitigate supply chain risk, and provide quality supply chain solutions in a cost-effective manner that enhances operational readiness for over 2,000 weapons systems and platforms.

We're actively deploying AI-driven operational systems to modernize sourcing, procurement, proposal development, workflow automation, executive operations, and enterprise decision support.

This is not a traditional "AI chatbot" position.

We're building production-grade AI operational infrastructure designed to create measurable business outcomes, improve operational velocity, enhance executive decision-making, and support scalable autonomous workflows across the enterprise.

We're looking for an AI Systems Architect to help design, implement, and mature the next generation of AI-enabled operational systems at Dynatech.

Position Summary

The Senior AI Systems Architect will lead the design and implementation of enterprise-grade AI operational systems integrating:

  • large language models (LLMs) · autonomous agents
  • workflow orchestration · retrieval systems
  • Microsoft ecosystems · operational data sources
  • human-in-the-loop governance

This role takes more than API integration and prompt engineering. The architect needs to design durable AI systems that produce measurable operational outcomes while maintaining security, auditability, governance, scalability, and operational resilience.


The right candidate is equally at home discussing:

  • AI orchestration frameworks · workflow engineering
  • executive operations · systems integration
  • long-term production architecture

Core Responsibilities

AI Systems Architecture

  • Architect scalable AI operational systems supporting enterprise workflows
  • Design modular, maintainable AI infrastructure
  • Build autonomous and semi-autonomous AI agent ecosystems
  • Develop long-term memory and retrieval architectures
  • Implement human-in-the-loop escalation frameworks
  • Design secure production-grade AI pipelines

Workflow Automation

  • Automate operational and executive workflows
  • Integrate AI into procurement, sourcing, proposal generation, and operational processes
  • Develop measurable KPI-driven automation systems
  • Create AI-assisted decision support systems
  • Design orchestration layers across multiple AI services and tools

Microsoft Ecosystem Integration

  • Integrate with Microsoft 365, Azure AI, Microsoft Graph, Teams, Outlook, and SharePoint
  • Support AI-driven email, scheduling, task management, and operational workflows
  • Implement secure permission and identity management practices

AI Engineering and Orchestration

  • Implement multi-agent orchestration frameworks
  • Develop RAG (Retrieval-Augmented Generation) systems
  • Build vector database architectures
  • Implement tool-use and function-calling frameworks
  • Develop monitoring, logging, and audit systems
  • Design AI safety and governance controls


Operational Governance

  • Develop production-grade testing methodologies
  • Implement AI guardrails and escalation logic
  • Ensure operational transparency and auditability
  • Support data governance and compliance requirements
  • Build systems resilient to hallucination and workflow failure

Required Qualifications

Compliance and Eligibility (non-negotiable)

  • U.S. Person as defined in 22 CFR § 120.62 (U.S. citizen, lawful permanent resident, or protected individual)
  • Familiarity with CMMC Level 2, NIST SP 800-171, and DFARS 252.204-7012 requirements, and with handling Controlled Unclassified Information (CUI)
  • Comfortable operating in an ITAR-aware environment
  • Production system access will not be granted until our standard vendor risk review has been completed

Technical Expertise

  • Deep experience with OpenAI APIs and LLM architectures
  • Strong understanding of AI orchestration frameworks
  • Experience with one or more of:
  • Microsoft Foundry
  • LangChain
  • LangGraph
  • CrewAI
  • AutoGen
  • Semantic Kernel
  • Microsoft Copilot Studio
  • or similar frameworks
  • Experience with vector databases and retrieval systems
  • Strong API integration experience
  • Strong Python development capabilities
  • Experience with Azure AI and Microsoft Graph
  • Experience with workflow orchestration platforms


Legacy System Integration

  • Experience integrating modern AI services with legacy enterprise applications
  • Strong SQL Server background (T-SQL, performance diagnostics, schema discovery)
  • Comfort with ASP.NET Web Forms and ERP-class applications as integration targets
  • Comfort working across Windows Server, macOS AI compute, and Tailscale-managed networks

Systems and Operations

  • Track record designing durable operational systems
  • Experience implementing production AI systems
  • Strong understanding of workflow engineering
  • Experience with logging, monitoring, and observability
  • Strong understanding of security and governance
  • Experience with scalable enterprise architecture

Business and Strategic Thinking

  • Ability to align AI systems with measurable business outcomes
  • Strong operational reasoning skills
  • Ability to translate executive objectives into technical architectures
  • Strong written and verbal communication skills
  • Ability to operate independently in a fast-moving environment

Preferred Qualifications

  • Experience supporting defense or regulated industries
  • Experience with procurement or supply chain systems
  • Experience with autonomous operational workflows
  • Experience with voice AI systems
  • Experience with avatar or conversational AI systems
  • Experience integrating AI into ERP or CRM environments
  • Experience with executive assistant AI systems

What Success Looks Like

Success in this role means building AI systems that:

  • Reduce operational friction
  • Improve decision speed
  • Enhance sourcing and proposal operations
  • Automate repetitive workflows
  • Improve executive leverage
  • Maintain governance and security
  • Scale reliably across the organization

What This Role Is NOT

This role is NOT:

  • Basic prompt engineering
  • Simple chatbot development
  • Front-end-only AI work
  • Experimental hobby AI projects

We're looking for a systems architect capable of building operational AI infrastructure with real-world business impact.

Ideal Candidate Traits

The ideal candidate:

  • Thinks in systems
  • Understands operational workflows
  • Values measurable outcomes
  • Embraces rapid innovation
  • Balances speed with governance
  • Operates at both strategic and technical level

Application Requirements

Applicants should provide:

  • Resume or CV
  • Relevant GitHub or portfolio links
  • Examples of production AI systems built
  • Architecture examples or diagrams (if available)
  • Description of prior AI operational workflows implemented
  • Preferred AI stack and orchestration frameworks
  • Availability and engagement model

Compensation is competitive and aligned to experience, capability, and demonstrated expertise. Both contract and long-term engagement structures will be considered

We offer a comprehensive benefits package which includes health, dental, vision, & life insurance, and 401k Retirement plan.

Equal Opportunity Employer - Vet/Disability - Drug-Free Workplace