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Conversational Ai Developer Jobs in Florida (NOW HIRING)

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 ...

AI engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

Job#: 3030923 AI Engineer Location: REMOTE Employment Type: Contract to Perm Role Overview This is ... Experience with NLP, speech processing, or conversational AI. * Experience with MLOps tools such as ...

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 ...

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

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 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 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 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 cities in Florida are hiring for Conversational Ai Developer jobs? Cities in Florida with the most Conversational Ai Developer job openings:
Infographic showing various Conversational Ai Developer job openings in Florida as of July 2026, with employment types broken down into 69% Full Time, 22% Part Time, and 9% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution.
AI engineer

$109K - $131K/yr

Full-time

Posted 2 days ago


Job description

AI engineer | Fort Lauderdale, Florida, United States AI Engineer (Remote, Contract-to-Perm) Location: Fort Lauderdale, FL (Remote) Employment Type: C2C, Contract to Perm About the Role Join a forward-thinking team as an AI Engineer, where you'll deliver impactful machine learning solutions across diverse use cases. You'll take full ownership of projects, from data exploration to model deployment, working closely with a Senior ML/AI Engineer and reporting directly to the Director, ACE. Operate within an established MLOps framework while enjoying autonomy and opportunities to drive innovation. This is a fully remote position, offering flexibility and the potential for long-term growth. Responsibilities - Develop, train, evaluate, and deploy ML/AI models for classification, regression, anomaly detection, NLP, and generative AI applications - Build and maintain robust data pipelines and feature engineering workflows for production models - Write clean, well-tested code and participate in peer code reviews to maintain high-quality standards - Monitor and retrain deployed models to address data drift or performance degradation - Create anomaly detection and predictive maintenance models using network telemetry and time-series data - Design and deploy NLP and speech models for call summarization, sentiment analysis, and agent assist tools - Build models for churn prediction, customer segmentation, next-best-action, demand forecasting, and operational optimization - Collaborate with internal teams to translate business problems into effective AI solutions - Contribute to MLOps practices, including model versioning, experiment tracking, and automated deployment Required Skills and Experience - At least 2+ years in machine learning, AI engineering, or applied data science - Proven track record deploying ML models in production environments - Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn, Hugging Face) - Experience with data pipeline tools/frameworks (Spark, Airflow, dbt, SQL) - Familiarity with cloud platforms (AWS, Azure) and containerized deployment (Docker, Kubernetes) - Solid understanding of classical ML techniques and modern generative AI/LLM approaches - Clear communication skills with the ability to explain technical concepts to non-technical stakeholders - Strong problem-solving skills and independent project ownership Preferred Skills - Experience in telecommunications, ISP, fiber/broadband, or network-intensive industries - Familiarity with time-series data, network telemetry, or streaming data platforms - Hands-on experience with NLP, speech processing, or conversational AI - Proficiency with MLOps tools (MLflow, Kubeflow, Weights & Biases) - Bachelor's or master's degree in Computer Science, Machine Learning, Data Science, or a related field Benefits - 100% remote role with flexible work arrangements - Opportunity for contract-to-permanent conversion and career advancement - Work with cutting-edge AI and MLOps technologies - Collaborate with a highly skilled, innovative team - Direct impact on business-critical projects with visible outcomes How to Apply Ready to take your AI engineering career to the next level? Submit your resume today for immediate consideration. Candidates must be authorized to work in the US without sponsorship.

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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US