1

Prompt Engineering Jobs in Florida (NOW HIRING)

Java Full stack Developer

Tampa, FL · On-site

$49.50 - $64/hr

Proven experience designing and delivering LLM / GenAI solutions (e.g., RAG, orchestration, prompt engineering, AIassisted automation). Solid understanding of microservices, APIs, distributed systems ...

Hands-on experience with generative AI and prompt engineering * Experience with CI/CD pipelines and containerized deployments Preferred Skills * Background in agentic AI feature development

Java Full stack Developer

Tampa, FL · On-site

$49.50 - $64/hr

Proven experience designing and delivering LLM / GenAI solutions (e.g., RAG, orchestration, prompt engineering, AIassisted automation). Solid understanding of microservices, APIs, distributed systems ...

Java Full stack Developer

Tampa, FL · On-site

$49.50 - $64/hr

Proven experience designing and delivering LLM / GenAI solutions (e.g., RAG, orchestration, prompt engineering, AIassisted automation). Solid understanding of microservices, APIs, distributed systems ...

Java Full stack Developer

Tampa, FL

$49.50 - $64/hr

Proven experience designing and delivering LLM / GenAI solutions (e.g., RAG, orchestration, prompt engineering, AIassisted automation). Solid understanding of microservices, APIs, distributed systems ...

Java Full stack Developer

Tampa, FL · On-site

$49.50 - $64/hr

Proven experience designing and delivering LLM / GenAI solutions (e.g., RAG, orchestration, prompt engineering, AIassisted automation). Solid understanding of microservices, APIs, distributed systems ...

Java Full stack Developer

Tampa, FL · On-site

$49.50 - $64/hr

Proven experience designing and delivering LLM / GenAI solutions (e.g., RAG, orchestration, prompt engineering, AIassisted automation). Solid understanding of microservices, APIs, distributed systems ...

... of prompt engineering implementation exposure to LLM agents like LangChain vector databases Pinecone or Chroma or FAISS Ability to quickly conduct experiments and analyze the features and ...

... of prompt engineering implementation exposure to LLM agents like LangChain vector databases Pinecone or Chroma or FAISS Ability to quickly conduct experiments and analyze the features and ...

... of prompt engineering implementation exposure to LLM agents like LangChain vector databases Pinecone or Chroma or FAISS Ability to quickly conduct experiments and analyze the features and ...

... of prompt engineering implementation exposure to LLM agents like LangChain vector databases Pinecone or Chroma or FAISS Ability to quickly conduct experiments and analyze the features and ...

next page

Showing results 1-20

Prompt Engineering information

See Florida salary details

$24.3K

$47.1K

$71.4K

How much do prompt engineering jobs pay per year?

As of Jul 14, 2026, the average yearly pay for prompt engineering in Florida is $47,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,100.00 and $53,800.00 per year, depending on experience, location, and employer.

What is a Prompt Engineering job?

A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.

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

To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.

What are the most common challenges faced by Prompt Engineers in their daily work?

Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.

What are the most commonly searched types of Prompt Engineering jobs in Florida? The most popular types of Prompt Engineering jobs in Florida are:
What cities in Florida are hiring for Prompt Engineering jobs? Cities in Florida with the most Prompt Engineering job openings:
Java Full Stack developer with React & AI exp-Full time-Hybrid

Java Full Stack developer with React & AI exp-Full time-Hybrid

Visionary Innovative Technology Solutions

Dunedin, FL • On-site

$46.75 - $60.25/hr

Other

Posted 4 days ago


Job description

We are seeking an experienced Senior Java Full Stack Developer with expertise in Java, Spring Boot, React.js, Microservices, and AI/LLM integration to build next-generation enterprise applications. The ideal candidate will have strong backend development skills, modern frontend experience with React, and hands-on knowledge of integrating Generative AI solutions into scalable, cloud-native applications.


Key ResponsibilitiesBackend Development
  • Design, develop, and maintain enterprise-grade applications using Java 8/11/17, Spring Boot, and Microservices.
  • Build scalable RESTful APIs and event-driven services.
  • Implement secure authentication and authorization using Spring Security, OAuth2, and JWT.
  • Optimize application performance, scalability, and reliability.
  • Develop reusable backend components following clean architecture principles.
Frontend Development
  • Develop responsive and interactive web applications using React.js, TypeScript, JavaScript, HTML5, and CSS3.
  • Build reusable React components, hooks, and state management solutions.
  • Integrate frontend applications with REST APIs and backend microservices.
  • Optimize application performance and deliver seamless user experiences.
  • Ensure cross-browser compatibility and responsive UI design.
AI & Generative AI Integration
  • Integrate Large Language Models (LLMs) such as OpenAI, Azure OpenAI, Anthropic Claude, and Google Gemini into enterprise applications.
  • Develop AI-powered chatbots, virtual assistants, and intelligent automation solutions.
  • Implement Retrieval-Augmented Generation (RAG) architectures using vector databases.
  • Design effective prompts and optimize AI responses through prompt engineering.
  • Integrate AI services with enterprise applications using REST APIs and SDKs.
  • Work with vector databases such as Pinecone, ChromaDB, Weaviate, or Elasticsearch.
Microservices & Cloud
  • Design and implement cloud-native microservices using Spring Boot and Spring Cloud.
  • Develop distributed systems with Kafka or RabbitMQ messaging.
  • Containerize applications using Docker and deploy on Kubernetes/OpenShift.
  • Build and maintain CI/CD pipelines for automated deployments.
  • Deploy applications on AWS, Azure, or Google Cloud Platform.
Database Development
  • Design and optimize relational and NoSQL databases.
  • Develop complex SQL queries and stored procedures.
  • Work with PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, or Cassandra.
  • Optimize database performance and indexing strategies.
Software Engineering
  • Collaborate with product owners, architects, UI/UX designers, QA engineers, and DevOps teams.
  • Participate in Agile ceremonies including sprint planning, daily stand-ups, reviews, and retrospectives.
  • Perform code reviews and mentor junior developers.
  • Troubleshoot production issues and provide long-term solutions.
  • Maintain high coding standards, documentation, and best practices.

Required Skills & Qualifications
  • 8+ years of experience in Java Full Stack development.
  • Strong expertise in:
    • Java 8/11/17
    • Spring Boot
    • Spring Cloud
    • Microservices
  • Hands-on experience with:
    • React.js
    • JavaScript (ES6+)
    • TypeScript
    • HTML5
    • CSS3
  • Experience building and consuming RESTful APIs.
  • Experience integrating AI/LLM platforms such as:
    • OpenAI
    • Azure OpenAI
    • Anthropic Claude
    • Google Gemini
  • Knowledge of:
    • Prompt Engineering
    • Retrieval-Augmented Generation (RAG)
    • AI Chatbots
  • Experience with SQL and NoSQL databases.
  • Strong understanding of Git, Maven/Gradle, and CI/CD.
  • Experience with Docker and Kubernetes/OpenShift.
  • Strong analytical, debugging, and communication skills.