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Remote Prompt Engineer Jobs in Tampa, FL (NOW HIRING)

Lakeland, FL, 33811 Remote Role * Local-First AI Expertise: Proven track record deploying and ... Solid understanding of fine-tuning techniques (LoRA/QLoRA) versus prompt engineering, and model ...

Senior Agentic (AI) Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

... prompt injection, PII leakage, or unsafe tool use on agents you own. * Force Multiplier: Patterns, tools, and eval scaffolding you build get adopted across engineering. All Remote Hires will be ...

Apply prompt engineering techniques to optimize model interactions and outcomes. * Ensure ... LI-Remote The Compensation range for this role is 100,000 to 110,000 USD annually and may be ...

Apply prompt engineering techniques to optimize model interactions and outcomes. * Ensure ... LI-Remote The Compensation range for this role is 120,000 to 160,000 USD annually and may be ...

Take initiative and provide prompt, accurate follow-up to tickets and support call * Troubleshoot ... We honor your flexibility needs with full-time work that is hybrid remote. We have you covered with ...

Guidewire Developer-ClaimCenter

Tampa, FL · On-site +1

$51.50 - $68/hr

... TX, Remote-CT, Remote-GA, Remote-IL, Remote-IN, Remote-OH, Remote-PA, Remote-TX, Remote-VA ... AI Prompt/Agentic Engineering * Monitoring and logging via tools like AppDynamics and Splunk

This isn't a research role and it isn't prompt tinkering. You'll be designing the delivery system ... Must be authorized to work in the United States; role is US-remote. Nice to Have Experience with ...

Remote Prompt Engineer information

See Tampa, FL salary details

$12

$52

$76

How much do remote prompt engineer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote prompt engineer in Tampa, FL is $52.91, according to ZipRecruiter salary data. Most workers in this role earn between $37.93 and $70.43 per hour, depending on experience, location, and employer.

What is a remote prompt engineer?

A Remote Prompt Engineer designs, refines, and optimizes prompts to improve interactions between users and AI models. They work with natural language processing (NLP) systems to enhance response accuracy and relevance. This role often involves testing different prompts, analyzing AI outputs, and collaborating with developers or researchers to fine-tune language models. Since the position is remote, engineers use online tools and communication platforms to collaborate with teams and stay updated on AI advancements.

What are the key skills and qualifications needed to thrive as a remote prompt engineer?

To thrive as a Remote Prompt Engineer, you need expertise in natural language processing, prompt design, and a background in computer science or a related field. Familiarity with AI platforms (such as OpenAI or Anthropic APIs), programming languages like Python, and prompt engineering tools is highly valuable. Outstanding communication, collaboration, and problem-solving skills help remote team members excel in optimizing AI performance. These competencies ensure tailored, effective AI solutions and smooth, results-driven teamwork from a remote environment.

What does a typical workday look like for a remote prompt engineer?

As a Remote Prompt Engineer, your workday often involves designing and testing prompts for various AI models, collaborating with product managers and developers, and analyzing model outputs to refine interactions. You may also participate in virtual team meetings to discuss project goals, provide feedback on AI performance, and stay updated on new advancements in prompt engineering. Routine responsibilities include documenting prompt structures, troubleshooting model behavior, and integrating feedback from client or user testing. This dynamic and collaborative environment enables you to contribute creative solutions and drive continuous improvement in AI-driven applications.

Are remote prompt engineers still in demand?

Remote prompt engineers are currently in demand as organizations seek expertise in designing effective prompts for AI language models. The role often requires skills in natural language processing, AI tools, and programming, with many companies offering remote positions due to the digital nature of the work.

What is the salary of remote prompt engineer?

The salary of a remote prompt engineer typically ranges from $70,000 to $130,000 annually, depending on experience, skills, and the company's size. Entry-level positions may start lower, while experienced professionals with specialized knowledge in AI and machine learning can earn higher salaries. Compensation often includes benefits such as flexible schedules and opportunities for skill development.

What are the most commonly searched types of Prompt Engineer jobs in Tampa, FL?

The most popular types of Prompt Engineer jobs in Tampa, FL are:

What are popular job titles related to Remote Prompt Engineer jobs in Tampa, FL?

For Remote Prompt Engineer jobs in Tampa, FL, the most frequently searched job titles are:

What job categories do people searching Remote Prompt Engineer jobs in Tampa, FL look for?

The top searched job categories for Remote Prompt Engineer jobs in Tampa, FL are:

What cities near Tampa, FL are hiring for Remote Prompt Engineer jobs?

Cities near Tampa, FL with the most Remote Prompt Engineer job openings:

Infographic showing various Remote Prompt Engineer job openings in Tampa, FL as of August 2026, with employment types broken down into 48% Full Time, 35% Part Time, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $110,060 per year, or $52.9 per hour.

AI ML Engineer

Conch Technologies Inc

Lakeland, FL • Remote

Contractor

Re-posted 14 days ago


Job description

W2 Role only, No visa sponsorship at this time
 
Role: AI ML Engineer
Location : Lakeland, FL, 33811
Remote Role
Job Description:
* Local-First AI Expertise: Proven track record deploying and optimizing open-source LLMs (e.g., LLaMA, Mistral) in non-cloud, restricted, or air-gapped private infrastructures
* Deep Framework Proficiency: Heavy hands-on experience with PyTorch, Hugging Face, and orchestration layers like LangChain, LlamaIndex, or equivalent frameworks
* Vector  and  Retrieval Mastery: Direct experience engineering production-grade RAG architectures, embeddings, semantic search, and local vector databases (e.g., FAISS, Qdrant, Milvus, Chroma)
* Containerization  and  Compute Infrastructure: Strong experience containerizing AI workloads via Docker/Kubernetes and managing dedicated GPU-based compute environments
* Advanced ML Concepts: Solid understanding of fine-tuning techniques (LoRA/QLoRA) versus prompt engineering, and model quantization formats (GGUF, AWQ, EXL2)
* Autonomy: Ability to build, test, and iterate rapidly in an isolated development sandbox with zero dependency on third-party cloud APIs
* Experience operating within heavily regulated or compliance-driven industries (e.g., high-governance data environments, fintech, or legal-tech)
* Familiarity with local-first agentic workflows, Model Context Protocol (MCP), or building fully internal developer copilots and autonomous knowledge systems
 
 
Thanks & Regards
Pavankumar Yalla
Sr. US IT Recruiter
Desk: 380-388-3661, EXT:819
Email: pavan.y@conchtech.com  
Web: www.conchtech.com