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Chatbot Developer Jobs in Miramar, FL (NOW HIRING)

WAI GLOBAL

Analyst, AI Engineer

Hollywood, FL · On-site

The Analyst, AI Engineering is an offshore technical role that supports WAI's internal AI ... chatbot telemetry, open-source model evaluation, testing, documentation, and production support ...

Kforce Technology Staffing

Data Engineer

Coral Springs, FL · On-site

$109K - $130K/yr

As a Data Engineer, you will be responsible for collecting, analyzing, and interpreting data to ... of our chatbot include: * FlowiseAI * Vector DB * Graph DB * Docker Desired Concepts: * RAG ...

Royal Caribbean Group

Manager, Engineering

Miami, FL · On-site

It isn't a chatbot. It's a production engineering team building real systems for real customers in a complex, regulated environment, with the autonomy to make the right technical decisions and the ...

All JobsChatbot Developer JobsChatbot Developer Jobs in Miramar, FL

Chatbot Developer information

See Miramar, FL salary details

$69K

$86.9K

$117.2K

How much do chatbot developer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for chatbot developer in Miramar, FL is $86,884.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,100.00 and $88,000.00 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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Chatbot Developer jobs near you
Infographic showing various Chatbot Developer job openings in Miramar, FL as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 19% Part Time, 1% Temporary, 4% Contract, and 5% Nights. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $86,884 per year, or $41.8 per hour.
Analyst, AI Engineer

Analyst, AI Engineer

WAI GLOBAL

Hollywood, FL • On-site

Full-time

Posted 26 days ago

Job description

Description:

About WAI

Since 1978, WAI has grown from an entrepreneurial start-up into a global aftermarket leader headquartered in South Florida. Nearly five decades of product knowledge, customer trust, and operational scale now support an ambitious growth agenda across distribution, manufacturing, product, customer, supply chain, and shared-service operations.


That scale creates a meaningful opportunity for practical enterprise AI. WAI is investing in AI, automation, data, and digital capabilities that can improve how work gets done: reducing manual effort, increasing speed and quality, strengthening decision-making, and helping teams serve customers more effectively.


About the Role

WAI is expanding its enterprise AI capabilities with a focus on trusted data, intelligent retrieval, and practical AI solutions that improve how employees access information and get work done.


The Analyst, AI Engineering is an offshore technical role that supports WAI's internal AI capability by helping build AI-ready data access, catalog intelligence, document ingestion, retrieval workflows, AI assistant capabilities, and continuous improvement processes. The role works under the direction of AI platform leadership and partners with IT, business-facing AI automation resources, data owners, and other technical contributors.

This role provides hands-on build capacity for approved AI and data work, including Infor integration support, catalog vector search, document parsing, RAG workflows, chatbot telemetry, open-source model evaluation, testing, documentation, and production support activities. The role is not intended to own business prioritization or the overall AI operating model.


What you'll do

  • Build and support AI-ready access to WAI catalog, customer, order, product, sales-channel, and related business data as directed by AI platform leadership.
  • Assist with Infor integration and other trusted data connections so AI outputs are grounded in approved business data sources.
  • Implement semantic, keyword, and structured search across catalog, OE number, fitment, cross-reference, technical specification, and product data.
  • Parse and structure PDFs, Excel files, fitment guides, manufacturer specifications, RMA forms, customer questions, chatbot conversations, and other technical or business documents.
  • Build and support retrieval-augmented generation (RAG), embeddings, vector search, document ingestion pipelines, prompt workflows, and AI assistant capabilities for internal users and distributor support.
  • Capture and organize real user questions, failed searches, corrections, successful answers, and feedback to support evaluation data, retrieval improvement, and future model tuning.
  • Assist with evaluating, deploying, and testing approved hosted or open-source models such as Llama, Mistral, Qwen, or similar models under technical direction.
  • Support AI workflows related to Amazon Business trends, listing performance, returns, customer demand, and other approved business intelligence use cases as assigned.
  • Document technical logic, data mappings, prompts, retrieval sources, test cases, known issues, and support procedures.
  • Test AI outputs for source grounding, accuracy, consistency, reliability, and alignment with acceptance criteria.
  • Monitor assigned workflows, troubleshoot defects, analyze failures, and recommend improvements to retrieval quality, data quality, model behavior, and workflow performance.
  • Collaborate with offshore and onsite team members, IT, data owners, and business-facing AI resources to deliver approved work within WAI standards.

Undertakes additional responsibilities and tasks as directed by management.

Requirements:

What We're Looking For

Education: Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Artificial Intelligence, or a related technical field preferred; equivalent experience may be considered based on local market practice.


Experience:

  • 2+ years of experience in software development, data engineering, AI/ML, automation, analytics engineering, business systems, workflow tools, or related technical work.
  • Hands-on experience with Python, SQL, APIs, data pipelines, scripts, automation, or data workflows.
  • Hands-on exposure to or experience with large language models, prompts, RAG, embeddings, vector search, chatbots, AI agents, or document processing required; deeper or production-level experience across these areas strongly preferred.
  • Experience working with ERP, catalog, product, customer, order, inventory, or technical-document data preferred.
  • Experience supporting offshore delivery, remote collaboration, documentation, testing, or production support preferred.
  • Experience with automotive aftermarket, manufacturing, distribution, product data, fitment data, or similar technical domains is a plus.


Competencies:

Core Competencies & Leadership Attributes

  • Analytical thinking and structured problem-solving.
  • Strong attention to detail, documentation discipline, and follow-through.
  • Curiosity and continuous learning in a fast-changing AI and data environment.
  • Ability to work from defined requirements, acceptance criteria, and technical direction.
  • Good judgment regarding data handling, source grounding, testing, escalation, and human review.
  • Collaborative mindset with onsite/offshore team members, IT, and business stakeholders.
  • Ability to communicate technical issues, blockers, and recommendations clearly.


Skills:

  • Familiarity with Python, SQL, APIs, JSON, scripting, Git or version control, data workflows, and automation tools.
  • Working knowledge of AI-enabled tools, large language models, prompts, RAG, embeddings, vector databases, and document processing concepts.
  • Exposure to AI frameworks or tools such as OpenAI APIs, Azure AI, LangChain, LangGraph, Llama, Mistral, Qwen, or similar technologies preferred.
  • Ability to parse, clean, validate, and transform structured and unstructured data from business systems, documents, spreadsheets, and technical files.
  • Ability to test, validate, troubleshoot, and document AI workflows, retrieval outputs, prompts, and data pipelines.
  • Working knowledge of role-based access, auditability, source traceability, data quality, and responsible AI practices preferred.
  • Proficiency with Microsoft Office Suite, collaboration tools, and technical documentation practices.
  • English fluency required; additional languages are a plus.


Licensing or other special certifications:

No required certifications. Certifications in data analytics, cloud platforms, AI/ML, Python, SQL, Microsoft Azure AI, automation platforms, or related technical areas are preferred but not required.


TRAVEL REQUIREMENT:

Limited travel is expected, estimated at 0-10%, based on business needs, project rollout requirements, training, workshops, or meetings. Travel expectations are subject to local engagement model and business approval.