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Prompt Engineering Jobs in Florida (NOW HIRING)

Neshent Technologies

$49 - $65.25/hr

Apply AI/ML, prompt engineering, and agentic AI concepts to operational use cases. *Develop runbook automation, anomaly detection, and intelligent incident management capabilities. *Collaborate with ...

YO AI Labs

Word Expert - Remote

Miami, FL · Remote

$30 - $50/hr

Use prompt engineering and AI tools to test and improve model performance. * Collaborate with project teams and maintain high-quality documentation. Required Qualifications * 3+ years of professional ...

YO AI Labs

Excel Expert - Remote

Miami, FL · Remote

$30 - $50/hr

Use prompt engineering and AI tools to test and improve model performance. * Collaborate with project teams and maintain high-quality documentation. Required Qualifications * 3+ years of professional ...

YO AI Labs

Business Document Expert - Remote

Miami, FL · Remote

$30 - $50/hr

Use prompt engineering and AI tools to test and improve model performance. * Collaborate with project teams and maintain high-quality documentation. Required Qualifications * 3+ years of professional ...

YO AI Labs

PowerPoint Expert - Remote

Miami, FL · Remote

$30 - $50/hr

Use prompt engineering and AI tools to test and improve model performance. * Collaborate with project teams and maintain high-quality documentation. Required Qualifications * 3+ years of professional ...

Tror AI for everyone

AI Engineer

Lake Mary, FL · On-site

Prompt Engineering * Tokenization, context windows * Model selection * Handling hallucinations and grounding responses. * Retrieval-Augmented generation (RAG) * Document Ingestion and preprocessing

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Prompt Engineering information

See Florida salary details

$24.3K

$47.1K

$71.4K

How much do prompt engineering jobs pay per year?

As of Sep 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 prompt engineering?

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 skills and qualifications are needed for prompt engineering?

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.

Is prompt engineering still in demand?

Prompt engineering is currently in high demand as organizations seek experts to optimize interactions with AI language models. The role requires skills in natural language processing, prompt design, and familiarity with AI tools, making it a valuable specialization in AI development and deployment.

What do you do as a prompt engineer?

A prompt engineer designs and refines prompts to optimize the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like AI development platforms to improve accuracy and relevance in outputs.

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 are popular job titles related to Prompt Engineering jobs in Florida?

For Prompt Engineering jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Prompt Engineering jobs in Florida look for?

The top searched job categories for 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:

Prompt Engineering jobs near you
Infographic showing various Prompt Engineering job openings in Florida as of September 2026, with employment types broken down into 1% Internship, 88% Full Time, 7% Part Time, 2% Contract, and 2% Nights. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $47,062 per year, or $22.6 per hour.

Senior Site Reliability Engineer - AI & Automation.

On-site

Neshent Technologies
11 - 50 employees
Learn more about Neshent Technologiesexternal

$49 - $65.25/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Primary Responsibilities

*Design and implement AI agents, LLM-based solutions, and operational automation for SRE and DevOps environments.
*Support production systems, perform incident response, troubleshooting, and 24x7 operational triage.
*Develop automation and integrations using Python.
*Build and maintain monitoring and observability solutions using Splunk, Datadog, New Relic, or AppDynamics.
*Design and manage cloud infrastructure across AWS, Azure, and/or GCP.
*Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, and/or AWS CDK.
*Apply AI/ML, prompt engineering, and agentic AI concepts to operational use cases.
*Develop runbook automation, anomaly detection, and intelligent incident management capabilities.
*Collaborate with engineering, operations, and business stakeholders to improve system reliability and operational processes.
*Mentor engineers and help establish SRE, DevOps, automation, and observability best practices.

Required Skills

*5+ years of SRE, DevOps, or Site Reliability Engineering experience.
*Strong Python development skills for automation, tooling, and integrations.
*Experience with AI agents, LLMs, and agentic AI frameworks.
*Experience with Splunk, Datadog, New Relic, AppDynamics, or similar observability platforms.
*Hands-on experience with AWS, Azure, and/or GCP.
*Experience with Terraform, CloudFormation, and/or CDK.
*Strong production support and incident response experience.
*Knowledge of AI/ML, prompt engineering, and operational AI automation.
*Strong communication, stakeholder management, and mentoring skills.
*Ability to work effectively in a 24x7 operational environment.

Preferred Skills

*Experience with Adobe Experience Manager (AEM).
*Experience supporting CMS platforms and digital applications.
*Knowledge of incident management, runbook automation, and anomaly detection.
*Familiarity with Atlassian Rovo, AI operational tooling, and modern observability platforms.

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