ZipRecruiter

Log In

1

Chatgpt Prompt Engineer Jobs in Florida (NOW HIRING)

Snapology

AI & Coding Instructor

Miami, FL · On-site

$15 - $20/hr

Artificial Intelligence & Generative AI Prompt Engineering with AI tools ChatGPT and AI applications Coding & programming concepts Robotics and technology projects Creative problem-solving challenges ...

Seaboard Marine

AI Adoption Specialist

Miami, FL · On-site

Preferred * Experience using Microsoft Copilot preferred; familiarity with ChatGPT, Claude, or ... Basic understanding of prompt engineering and responsible AI practices. * Bilingual (English ...

Socure

Head of Growth Engineering

Miami, FL · On-site

$180K - $220K/yr

You won't just support growth-you'll engineer the function that scales it. What You'll Do * Define ... Fluency with modern AI tooling such as ChatGPT, Claude, embeddings-based workflows, and prompt ...

previous pagenext page

Showing results 21-40

All JobsChatgpt Prompt Engineer JobsChatgpt Prompt Engineer Jobs in Florida

Chatgpt Prompt Engineer information

See Florida salary details

$9

$41

$60

How much do chatgpt prompt engineer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for chatgpt prompt engineer in Florida is $41.84, according to ZipRecruiter salary data. Most workers in this role earn between $30.00 and $55.67 per hour, depending on experience, location, and employer.

Is it hard to become a Chatgpt Prompt Engineer?

Becoming a ChatGPT Prompt Engineer requires strong skills in natural language processing, prompt design, and familiarity with AI language models. While there is no formal certification, gaining experience through practice, understanding AI tools, and staying updated on model capabilities can help. The role often involves continuous learning and adapting to new AI developments.

What is the role of Chatgpt Prompt Engineer in ChatGPT?

A ChatGPT Prompt Engineer designs and optimizes prompts to improve the AI model's responses, ensuring accuracy, relevance, and safety. They analyze model behavior, test prompt variations, and may use tools like API interfaces to refine outputs, often requiring skills in natural language processing and critical thinking.

What are the key skills and qualifications needed to thrive as a ChatGPT prompt engineer, and why are they important?

To thrive as a Chatgpt Prompt Engineer, you need a strong grasp of natural language processing, prompt design, and AI model behaviors, often supported by a background in computer science or linguistics. Familiarity with machine learning frameworks, prompt engineering tools, and APIs like OpenAI's GPT platform is typically required. Creativity, analytical thinking, and the ability to collaborate across technical and non-technical teams are key soft skills. These capabilities enable effective development, testing, and refinement of prompts to optimize AI performance and user experience.

What is a ChatGPT prompt engineer?

A ChatGPT Prompt Engineer is a specialist who designs, tests, and refines prompts to optimize responses from AI models like ChatGPT. Their role involves understanding AI behavior, crafting effective prompts, and iterating on inputs to achieve accurate, relevant, and engaging outputs. They often work with developers, content creators, and businesses to fine-tune AI interactions for specific use cases. Strong skills in natural language processing, creativity, and problem-solving are essential for success in this role.

Are Chatgpt prompt engineers still in demand?

ChatGPT prompt engineers are increasingly in demand as organizations seek to optimize AI interactions and improve chatbot performance. Skills in prompt design, natural language processing, and familiarity with AI tools are valuable, and demand is expected to grow with the expanding use of AI-powered applications.

What are the typical day-to-day responsibilities of a ChatGPT prompt engineer?

A Chatgpt Prompt Engineer spends their day crafting, testing, and refining prompts to improve the accuracy and usefulness of AI-generated responses. They often collaborate with product managers, data scientists, and developers to align prompts with business goals and integrate user feedback. Common tasks include analyzing prompt performance, troubleshooting issues, and documenting best practices for prompt creation. Staying updated on the latest advancements in language models and AI is also an important part of the role.

What are the most commonly searched types of Chatgpt Prompt Engineer jobs in Florida? The most popular types of Chatgpt Prompt Engineer jobs in Florida are:
What are popular job titles related to Chatgpt Prompt Engineer jobs in Florida? For Chatgpt Prompt Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Chatgpt Prompt Engineer jobs in Florida look for? The top searched job categories for Chatgpt Prompt Engineer jobs in Florida are:
Chatgpt Prompt Engineer jobs near you
Infographic showing various Chatgpt Prompt Engineer job openings in Florida as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $87,032 per year, or $41.8 per hour.

Information Technology_USA - USA_Developer

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Re-posted 8 days ago

Job description

ALL CAPS, NO SPACES B/T UNDERSCORES PTN_US_GBAMSREQID_
Candidate BeelineID i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Thomas Hodges
Targeted - -hr
REQUIREMENT_CITY - Alpharetta, GA - Need to come to office for F2F Round of Interview
REQUIREMENT_ID-10743612
Role Name - Senior Java Full Stack Developer (Spring Boot + Angular) - Agentic AI Focus
ROLE_DESCRIPTION -
Experience Required:
[RATE REDACTED]+ Years
Role Overview:
We are seeking a highly skilled Java Full Stack Developer with strong expertise in Spring Boot and Angular, along with mandatory hands-on experience in Agentic AI systems and AI-assisted development tools. The ideal candidate will design, develop, and deploy scalable applications while integrating AI-driven automation and intelligent agents into enterprise workflows.
Key Responsibilities:
Full Stack Development
Design and develop scalable, resilient applications using:
Java (Spring Boot / Spring Cloud)
Angular (preferably Angular 12+)
Develop RESTful APIs and microservices architecture
Implement responsive UI components and ensure cross-browser compatibility
Work with cloud-native architectures and containerized deployments
Agentic AI & AI Integration (Mandatory)
Design and implement Agentic AI workflows (autonomous or semi-autonomous task execution systems)
Integrate LLMs (Large Language Models) into enterprise applications
Build and orchestrate AI agents using frameworks such as:
LangChain / Semantic Kernel / AutoGen / CrewAI (or similar)
Develop AI-powered features such as:
Smart assistants
Automated decision-making flows
Document processing / summarization systems
Implement prompt engineering, RAG (Retrieval-Augmented Generation), and tool chaining
AI Tools & Productivity Enhancement
Use AI-assisted development tools such as:
GitHub Copilot, ChatGPT, or similar coding assistants
Automate development workflows using AI (code generation, testing, debugging)
Apply AI in improving developer productivity and system intelligence
Backend & Integration
Build and maintain microservices with Spring Boot
Implement event-driven architecture (Kafka / RabbitMQ)
Develop secure APIs with OAuth2 / JWT
Integrate third-party APIs and AI services
Frontend Development
Develop dynamic UI using Angular
Implement state management (NgRx or similar preferred)
Ensure performance optimization and scalable frontend architecture
DevOps & Cloud
Work with cloud platforms (Azure / AWS / GCP)
Implement CI/CD pipelines
Containerization using Docker and orchestration using Kubernetes
Database & Data Handling
Work with relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB)
Schema design and query optimization
Handle data integration for AI pipelines
Mandatory Skills:
Core Technologies
Java, Spring Boot, Spring Cloud
Angular (latest versions preferred)
REST APIs, Microservices
Agentic AI (Strict Requirement)
Hands-on experience with:
Autonomous AI agents / orchestration frameworks
Experience integrating:
OpenAI / Azure OpenAI / similar LLM APIs
Strong understanding of:
Prompt Engineering
RAG pipelines
AI workflow orchestration
Skills: Advanced Java Concepts~Digital : Spring Boot~Core Java
Experience Required[RATE REDACTED], Project Code :

Apply