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Prompt Engineering Jobs in Riverview, FL (NOW HIRING)

Python Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

... via prompt engineering and fine-tuning, alongside MLOps, cloud platforms (AWS/Azure/GCP), and foundational mathematics. Qualifications : Required : • Strong programming proficiency in Python ...

The role involves developing AI workflows, prompt engineering, and maintaining AI models across various environments. Responsibilities : • AI workflow development • Prompt engineering • ...

LLMs, Prompt Engineering & RAG Architecture * Agentic AI & Hybrid Prompting Techniques * LangChain, Hugging Face & LlamaIndex * AI Workflow Development & Model Deployment * Production AI Model ...

AI Lead (Generative AI)

Tampa, FL · On-site

$127K - $156K/yr

Contribute to prompt engineering and development of AI-powered workflows. * Design and implement solutions leveraging LLMs and Generative AI . * Assist with deployment, monitoring, maintenance, and ...

New

The role combines applied ML, prompt engineering, and MLOps to deliver scalable, production-grade AI systems. Key Responsibilities Develop and deploy LLM-based applications (RAG, chatbots, copilots ...

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 ...

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Prompt Engineering information

See Riverview, FL salary details

$29K

$56.2K

$85.2K

How much do prompt engineering jobs pay per year?

As of Aug 29, 2026, the average yearly pay for prompt engineering in Riverview, FL is $56,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,900.00 and $64,200.00 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 popular job titles related to Prompt Engineering jobs in Riverview, FL?

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

What job categories do people searching Prompt Engineering jobs in Riverview, FL look for?

The top searched job categories for Prompt Engineering jobs in Riverview, FL are:

What cities near Riverview, FL are hiring for Prompt Engineering jobs?

Cities near Riverview, FL with the most Prompt Engineering job openings:

Infographic showing various Prompt Engineering job openings in Riverview, FL as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $56,170 per year, or $27 per hour.

$47.50 - $65.50/hr

Full-time

Re-posted 27 days ago


Job description

Job Summary:
Echo IT Solutions is seeking a Python Developer with strong programming proficiency and expertise in deep learning frameworks. The role involves building and deploying models while mastering Generative AI and Large Language Models.
Responsibilities:
• Require a blend of strong programming proficiency (especially Python – expert level), deep learning frameworks (PyTorch, TensorFlow), and data engineering skills to build and deploy models.
• Key skills include mastering Generative AI, Large Language Models (LLMs) via prompt engineering and fine-tuning, alongside MLOps, cloud platforms (AWS/Azure/GCP), and foundational mathematics.
Qualifications:
Required:
• Strong programming proficiency in Python (expert level)
• Deep learning frameworks (PyTorch, TensorFlow)
• Data engineering skills to build and deploy models
• Mastering Generative AI
• Large Language Models (LLMs) via prompt engineering and fine-tuning
• MLOps
• Cloud platforms (AWS/Azure/GCP)
• Foundational mathematics
• High proficiency in Python is mandatory
• Node JS, R, C++, or Java
• Expertise in PyTorch or TensorFlow
• Libraries like Scikit-learn, Keras, and Hugging Face
• Mastery of SQL, NoSQL, Pandas, NumPy, and preprocessing tools
• Techniques for prompt engineering
• Retrieval-Augmented Generation (RAG)
• Model fine-tuning
Company:
Echo IT Solutions provides IT consulting, managed services, cloud, cybersecurity, data, and custom software development. Founded in 2021, the company is headquartered in Farmers Branch, USA, with a team of 51-200 employees. The company is currently Growth Stage.