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Prompt Designer Jobs in Florida (NOW HIRING)

Virtusa

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 ...

Virtusa

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 ...

Virtusa

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 ...

J&J Maintenance

NICET II Sprinkler

Pensacola, FL

$44.72/hr

Respond to client inquiries in a prompt and professional manner * Stay up-to-date on NFPA standards ... NICET II certification in Fire Sprinkler Systems Layout * 4 years of experience designing ...

Alpha Consulting Corp.

Gen AI Tech Lead

Tampa, FL · On-site

... designing and implementing agentic AI architectures, autonomous workflows, or multi-agent systems ... prompt engineering. • Ability to translate complex business requirements into scalable AI ...

Varsity Tutors

Lovable Tutor

Hialeah, FL · Remote

$18 - $40/hr

... prompt refinement, and application deployment using Lovable. Guides students through describing application requirements in natural language, reviewing generated UI components, customizing designs ...

Varsity Tutors

Lovable Tutor

Tampa, FL · Remote

$18 - $40/hr

... prompt refinement, and application deployment using Lovable. Guides students through describing application requirements in natural language, reviewing generated UI components, customizing designs ...

Varsity Tutors

Lovable Tutor

Tallahassee, FL · Remote

$18 - $40/hr

... prompt refinement, and application deployment using Lovable. Guides students through describing application requirements in natural language, reviewing generated UI components, customizing designs ...

Varsity Tutors

Lovable Tutor

Miramar, FL · Remote

$18 - $40/hr

... prompt refinement, and application deployment using Lovable. Guides students through describing application requirements in natural language, reviewing generated UI components, customizing designs ...

Varsity Tutors

Lovable Tutor

Fort Lauderdale, FL · Remote

$18 - $40/hr

... prompt refinement, and application deployment using Lovable. Guides students through describing application requirements in natural language, reviewing generated UI components, customizing designs ...

Varsity Tutors

Lovable Tutor

Orlando, FL · Remote

$18 - $40/hr

... prompt refinement, and application deployment using Lovable. Guides students through describing application requirements in natural language, reviewing generated UI components, customizing designs ...

Varsity Tutors

Lovable Tutor

Doral, FL · Remote

$18 - $40/hr

... prompt refinement, and application deployment using Lovable. Guides students through describing application requirements in natural language, reviewing generated UI components, customizing designs ...

Varsity Tutors

Lovable Tutor

Fort Pierce, FL · Remote

$18 - $40/hr

... prompt refinement, and application deployment using Lovable. Guides students through describing application requirements in natural language, reviewing generated UI components, customizing designs ...

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Showing results 21-40

All JobsPrompt Designer JobsPrompt Designer Jobs in Florida

Prompt Designer information

See Florida salary details

$10

$17

$32

How much do prompt designer jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for prompt designer in Florida is $17.72, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $17.98 per hour, depending on experience, location, and employer.

What is the difference between Prompt Designer vs Content Writer?

AspectPrompt DesignerContent Writer
Required SkillsCreativity, AI prompt engineering, understanding of language modelsWriting, editing, SEO, storytelling
Work EnvironmentTech companies, AI development teams, freelance projectsMedia, marketing agencies, online platforms
Common CertificationsAI, machine learning, language processing coursesWriting, journalism, digital marketing certifications

Prompt Designers focus on creating effective prompts for AI models, requiring technical and creative skills related to AI and language processing. Content Writers craft engaging written content for various platforms, emphasizing storytelling and SEO. While both roles involve language skills, Prompt Designers are more technical and AI-focused, whereas Content Writers concentrate on content creation and audience engagement.

What are popular job titles related to Prompt Designer jobs in Florida? For Prompt Designer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Prompt Designer jobs in Florida look for? The top searched job categories for Prompt Designer jobs in Florida are:
Prompt Designer jobs near you
Infographic showing various Prompt Designer job openings in Florida as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 89% Physical, 5% Hybrid, and 6% Remote job distribution, with an average salary of $36,856 per year, or $17.7 per hour.

Applied AI Field Engineer (Orlando)

Trilon Group

Orlando, FL • On-site

$155K - $190K/yr

Full-time

Re-posted 11 days ago

Job description

Applied AI Field Engineer (Orlando)
Department: IT
Employment Type: Full Time
Location: Orlando, FL
Compensation: $155,000 - $190,000 / year
Description
Trilon is building a supercharged, technology-enabled future for our people and partners. The Applied AI Engineer plays a critical role in that mission by building the AI-powered features that enable our tools to compress real engineering labor across our operating companies.
This role sits at the intersection of software engineering and applied AI, focused on designing and implementing the intelligence layer of our products. You translate product requirements and architectural patterns into working AI capabilities by building prompt frameworks, retrieval-augmented generation pipelines, and agent-based workflows that operate against real engineering data and deliverables.
Working within a product pod, you partner closely with the Lead Engineer, Software Engineer, and QA Engineer to deliver production-ready solutions. You own how the system reasons, including prompt design, context management, model integration, and orchestration logic. You also help define how quality is measured for AI outputs, ensuring tools are accurate, reliable, and usable in real-world workflows.
You will engage directly with engineers across our operating companies to understand workflows, validate solutions, and iterate quickly based on feedback. You may also participate in field-based project hackathons, embedding with teams to identify high-impact opportunities and rapidly prototype solutions that inform platform development.
This role requires strong software engineering fundamentals, deep hands-on experience with modern AI tooling, and the ability to operate in a fast-moving environment where both the technology and the product are evolving. You are comfortable with ambiguity, rigorous about output quality, and focused on delivering AI that engineers trust and use.
Key Responsibilities
AI Application Development
  • Design and build AI-powered features using large language models and related tooling
  • Develop and maintain prompt architectures that drive consistent, high-quality outputs
  • Implement retrieval-augmented generation pipelines using enterprise data sources
  • Build and orchestrate agent-based workflows to automate targeted tasks

Model Integration and System Behavior
  • Integrate LLM APIs such as Anthropic Claude and OpenAI into production systems
  • Design context management strategies to ensure outputs are grounded, relevant, and accurate
  • Manage tradeoffs across latency, cost, and performance in AI workflows
  • Continuously improve system behavior through prompt iteration and architecture refinement

Pod Collaboration and Delivery
  • Partner with Software Engineers to integrate AI capabilities into applications, APIs, and user interfaces
  • Align with the Lead Engineer on technical direction, architecture, and implementation decisions
  • Work with QA Engineers to define evaluation criteria, testing strategies, and quality thresholds for AI outputs
  • Translate product requirements into scalable, production-ready AI solutions

Evaluation and Quality Optimization
  • Define and implement approaches for evaluating non-deterministic AI outputs
  • Build test cases, benchmarks, and evaluation pipelines to track output quality over time
  • Identify failure modes and iterate on prompts, pipelines, and orchestration logic
  • Ensure consistency and reliability as models, prompts, and data sources evolve

Continuous Improvement and Innovation
  • Stay current with advancements in LLMs, vector databases, and agent frameworks
  • Experiment with new tools and techniques to improve speed, quality, and capability
  • Contribute reusable patterns, components, and best practices across pods

Skills, Knowledge and Expertise
  • 4+ years of experience in software engineering, applied AI, or machine learning development
  • Strong programming skills in Python and/or JavaScript
  • Hands-on experience working with LLM APIs such as Anthropic Claude, OpenAI, or similar
  • Experience designing and implementing prompt architectures and prompt engineering techniques
  • Experience building retrieval-augmented generation pipelines and working with vector databases
  • Familiarity with agent orchestration frameworks and multi-step AI workflows
  • Experience integrating AI capabilities into applications via APIs and backend systems
  • Strong understanding of handling structured and unstructured data in AI systems
  • Ability to evaluate, debug, and improve non-deterministic AI outputs
  • Experience working in a fast-paced, product-oriented development environment
  • Strong problem-solving skills and ability to operate in ambiguous, evolving contexts
  • Ability to collaborate closely with engineers, product managers, and QA within a pod structure
  • Excellent communication skills and ability to explain technical concepts clearly
  • Curiosity and willingness to learn domain-specific workflows, particularly within engineering and AEC contexts

Apply