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Chat Bot Jobs in Florida (NOW HIRING)

US Tech - AI Engineering Manager

Orlando, FL ยท On-site

$73K - $244K/yr

... Bot Framework SDK and Composer, integrating Azure Cognitive Services (LUIS/Orchestrator) and enterprise channels (Microsoft Teams, Web Chat, Direct Line) - Leading platform engineering teams ...

US Tech - AI Engineering Manager

Miami, FL ยท On-site

$73K - $244K/yr

... Bot Framework SDK and Composer, integrating Azure Cognitive Services (LUIS/Orchestrator) and enterprise channels (Microsoft Teams, Web Chat, Direct Line) - Leading platform engineering teams ...

... Bot Framework SDK and Composer, integrating Azure Cognitive Services (LUIS/Orchestrator) and enterprise channels (Microsoft Teams, Web Chat, Direct Line) - Leading platform engineering teams ...

US Tech - AI Engineering Manager

Tampa, FL ยท On-site

$73K - $244K/yr

... Bot Framework SDK and Composer, integrating Azure Cognitive Services (LUIS/Orchestrator) and enterprise channels (Microsoft Teams, Web Chat, Direct Line) - Leading platform engineering teams ...

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Chat Bot information

See Florida salary details

$8

$29

$58

How much do chat bot jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for chat bot in Florida is $29.17, according to ZipRecruiter salary data. Most workers in this role earn between $10.91 and $43.09 per hour, depending on experience, location, and employer.

How can I make 2000 a week working from home?

A Chat Bot can generate income by working as a freelance or remote customer service or support agent, earning per hour or task. To reach $2000 weekly, consistent full-time hours, strong communication skills, and experience with chatbot platforms or AI tools are essential, often requiring a reliable internet connection and relevant training. Income varies based on the role, employer, and your skill level.

What are the typical daily responsibilities of a Chat Bot Developer?

As a Chat Bot Developer, your daily responsibilities often include designing, building, and refining conversational flows, integrating bots with various platforms (like websites or messaging apps), and coordinating with product managers or user experience teams to align features with business goals. You may also spend time training the bot to better understand user intent, analyzing chat logs to identify areas for improvement, and fixing arising technical issues. Collaboration with data scientists, software engineers, and QA professionals is common to ensure smooth deployment and performance. Staying up-to-date on advances in NLP and AI technologies is also a key part of the role.

What is the salary of a chatbot?

Chatbots are typically software tools rather than human employees and do not have a salary. However, the development and maintenance of chatbots involve salaries for AI developers, data scientists, and engineers, which can range from $60,000 to over $120,000 annually depending on experience and location. The cost of chatbot implementation varies based on complexity, platform, and integration requirements.

Can you make money with chatbots?

Chatbot developers and specialists can generate income by creating, deploying, and maintaining chatbots for businesses, often charging for development, customization, or ongoing support. Additionally, some professionals monetize chatbot skills through freelance work, consulting, or creating chatbot templates and tools for sale. Success depends on technical skills, understanding of customer needs, and the ability to market services effectively.

What are the key skills and qualifications needed to thrive in the Chat Bot position, and why are they important?

To thrive as a Chat Bot Developer, you need strong programming skills (typically in Python, JavaScript, or similar languages), experience with natural language processing (NLP), and an understanding of AI principles. Familiarity with chat platform APIs, machine learning frameworks, and cloud-based deployment tools is important, as are relevant technical certifications. Excellent problem-solving abilities, creativity, and effective communication skills help set you apart in designing user-centric conversational flows. These capabilities are necessary to build intuitive, robust chat bots that enhance customer engagement and meet organizational needs.

How do I become a text chat agent?

To become a chat bot or text chat agent, candidates typically need strong communication skills, basic computer literacy, and the ability to handle multiple conversations simultaneously. Some roles may require familiarity with customer service software or chat platforms, and a high school diploma or equivalent is often sufficient. Training is usually provided by the employer to familiarize new agents with company protocols and tools.

What is a Chat Bot job?

A Chat Bot job typically involves developing, managing, or improving chatbot systems that automate conversations with users. Responsibilities may include designing conversation flows, integrating AI models, and optimizing responses for user engagement. Roles can vary from customer support to AI development, depending on the organization's needs.

What are the most commonly searched types of Chat Bot jobs in Florida? The most popular types of Chat Bot jobs in Florida are:
What job categories do people searching Chat Bot jobs in Florida look for? The top searched job categories for Chat Bot jobs in Florida are:
What cities in Florida are hiring for Chat Bot jobs? Cities in Florida with the most Chat Bot job openings:
Infographic showing various Chat Bot job openings in Florida as of June 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 63% Physical, 3% Hybrid, and 34% Remote job distribution, with an average salary of $60,682 per year, or $29.2 per hour.
Information Technology_USA - USA_Product Architect

Information Technology_USA - USA_Product Architect

Real Soft, Inc.

Jacksonville, FL โ€ข On-site

Contractor

Posted 26 days ago


Job description

Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
: MAX CONFIRMED- -
MSP Owner: Shilpa Bajpai
Location: Cleveland OH- 100% onsite from Day 1.
Duration: 6 months
skill id: 10631636
Role: AI Tech Architect
Experience Required: 8-10years
Skills: Digital: Python, Digital: Machine Learning, Digital: Artificial Intelligence (AI), Digital: Chatbots / Conversational Agents, AI Agents, AI & Gen AI - Products & Tools
Job Description
Role Summary
We are looking for a highly experienced AI Architect specializing in Python-based AI development, Large Language Models (LLMs), and the design of chatbots and voice bots. The ideal candidate will architect enterprise-grade conversational AI solutions, ensure robust LLM performance monitoring, and drive innovation in Generative AI systems.
Key Responsibilities
LLM & Conversational AI Architecture
โ€ข Architect scalable solutions using LLMs, ChatGPT-style models, and voice AI frameworks.
โ€ข Design and build chatbots and voice bots using Python, ASR (Automatic Speech Recognition), TTS (Text-to-Speech), and NLP/LLM pipelines.
โ€ข Create frameworks for conversational flows, prompt engineering, retrieval-augmented generation (RAG), and context management.
Solution Development
โ€ข Build end-to-end AI applications using Python, integrating with APIs, databases, and cloud-native services.
โ€ข Develop modular and reusable components for LLM inference, vector search, embeddings, and model orchestration.
โ€ข Integrate LLMs with enterprise systems (CRM, ticketing, case management, internal knowledge bases).
LLM Performance Monitoring & Optimization
โ€ข Implement monitoring systems for latency, hallucination rate, safety compliance, drift detection, prompt performance, and model quality.
โ€ข Set up continuous evaluation (CEVAL), feedback loops, and telemetry dashboards.
โ€ข Optimize inference cost, token usage, model selection (small vs. large models), and caching strategies
Voice Bot & Chat Bot Engineering
โ€ข Architect solutions using:
o Speech APIs (Azure Speech, Amazon Transcribe, Google Speech-to-Text)
o Chat platforms (Teams, Slack, web chat widgets)
o Telephony integrations (Twilio, Genesys, Ujet)
โ€ข Ensure high accuracy in intent detection, slot filling, sentiment tracking, and multimodal interaction.
MLOps & Deployment
โ€ข Implement MLOps practices including CI/CD, model versioning, A/B testing, evaluation pipelines, and governance.
โ€ข Deploy models on cloud platforms such as Azure, AWS, or GCP (Azure preferred if using OpenAI/Azure OpenAI).
Ensure compliance with enterprise AI governance, security, and ethical AI standards
Essential Skills: AI Architect| Python| LLM| Conversational AI Architecture| voice AI frameworks| ASR (Automatic Speech Recognition) | TTS (Text-to-Speech) | and NLPLLM pipelines| Voice Bot Chat Bot Engineering., Project Code :