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Prompt Engineering Jobs in Leesburg, FL (NOW HIRING)

Maintenance Technician

Ocala, FL

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Identifies safety issues and takes prompt corrective action * Coaches/corrects unsafe team behavior ... Associate's Degree in Engineering, Business Administration or other related field/vocational ...

Maintenance Technician

Ocala, FL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Identifies safety issues and takes prompt corrective action * Coaches/corrects unsafe team behavior ... Associate's Degree in Engineering, Business Administration or other related field/vocational ...

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Showing results 1-20

Prompt Engineering information

See Leesburg, FL salary details

$27.9K

$54K

$81.9K

How much do prompt engineering jobs pay per year?

As of Aug 16, 2026, the average yearly pay for prompt engineering in Leesburg, FL is $54,038.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,300.00 and $61,800.00 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.

What do you do as a prompt engineer?

A prompt engineer designs and refines prompts to improve the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like AI development platforms to ensure accurate and relevant outputs, often requiring skills in programming and understanding of AI behavior.

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

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

Infographic showing various Prompt Engineering job openings in Leesburg, FL as of August 2026, with employment types broken down into 86% Full Time, 10% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $54,038 per year, or $26 per hour.

AI & GEO Solutions Engineer

SNI Technology

Winter Garden, FL • On-site

$130K - $140K/yr

Other

Re-posted 4 days ago


Job description

AI Solutions Engineer / AI Applications Developer
Location: Onsite in Orlando
Pay Range: $130,000-$140,000
Please Note: NO C2C, Agency referrals or sponsorship available
Position Overview:
This role is responsible for designing, developing, and supporting AI-enabled capabilities across web platforms, e-commerce systems, and enterprise applications. The position partners closely with cross-functional teams to enhance AI-driven discoverability, user engagement, and business workflows while ensuring responsible and scalable AI implementation.
Key Responsibilities
  • Analyze, design, develop, test, deploy, and document AI-powered enhancements across websites, e-commerce platforms, intranet applications, APIs, and enterprise systems
  • Support Generative Engine Optimization (GEO) initiatives to improve AI model discoverability, AI-generated brand visibility, and semantic search performance
  • Collaborate with Web, Marketing, Product, Content, SEO/GEO, and Technology teams to optimize structured content, metadata, schema markup, and AI-readable content frameworks
  • Evaluate, configure, integrate, and maintain third-party AI platforms, LLM-based systems, APIs, chatbot tools, knowledge bases, vector search solutions, and workflow automation technologies
  • Design and support AI-driven engagement solutions such as intelligent search, AI assistants, recommendation engines, conversational interfaces, and knowledge retrieval systems
  • Implement and support structured data frameworks including schema standards, embeddings, retrieval-augmented generation (RAG), vector databases, and semantic search architectures
  • Translate business objectives into technical requirements, implementation plans, testing strategies, documentation, and development-ready tasks
  • Act as a liaison between business stakeholders and technical teams for AI initiatives, including requirements gathering, workflow design, testing coordination, and deployment
  • Monitor competitive AI presence, AI-search trends, and evolving AI discovery and commerce strategies
  • Assess AI tools for privacy, security, performance, hallucination risks, data governance, and operational considerations prior to implementation
  • Support enterprise AI governance initiatives, including data stewardship, approval workflows, and responsible AI standards
  • Research emerging AI technologies, platforms, and industry trends relevant to digital commerce, customer engagement, and enterprise operations
  • Drive measurable improvements in AI visibility, semantic discoverability, workflow automation, and AI-assisted user experience

Required Skills & Competencies
  • Strong analytical, problem-solving, and organizational skills
  • Excellent communication skills with the ability to translate technical concepts into business language
  • Ability to work both independently and collaboratively in cross-functional environments
  • Strong project management and prioritization capabilities in fast-paced settings

AI & Technical Knowledge
  • Solid understanding of:
  • Large Language Models (LLMs)
  • Prompt engineering
  • Retrieval-Augmented Generation (RAG)
  • Embeddings and vector search
  • Semantic search and AI orchestration workflows
  • AI testing and evaluation frameworks
  • Knowledge of:
  • Generative Engine Optimization (GEO) and technical SEO
  • Semantic web architecture and structured content optimization
  • AI governance, privacy, security, bias mitigation, and responsible AI practices

Technology Familiarity
Experience with or exposure to tools and platforms such as:
  • OpenAI, Anthropic, Google Gemini
  • AWS Bedrock, Azure AI, Vertex AI
  • LangChain, LlamaIndex
  • Vector databases (e.g., Pinecone, Weaviate)

Nice to have: Experience with enterprise ERP or commerce platforms and integrations
Minimum Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Software Engineering, Artificial Intelligence, or a related field
  • 5+ years of experience developing or supporting enterprise web applications, APIs, or business systems
  • 2+ years of hands-on experience working with AI tools, LLM systems, AI APIs, or automation platforms
  • 5+ years of experience integrating third-party systems using REST APIs, SDKs, and modern integration frameworks
  • Experience with modern web technologies such as JavaScript, TypeScript, HTML/CSS, front-end frameworks, and back-end development (e.g., Java, C#, .NET, Node.js)
  • Experience with relational databases, SQL, and enterprise data models

Preferred Experience
  • Hands-on experience with:
  • AI integrations and workflows
  • Semantic search and vector databases
  • Chatbots and conversational AI
  • Knowledge retrieval systems and AI orchestration pipelines
  • Familiarity with:
  • Structured data and schema markup
  • AI indexing, semantic architecture, and SEO/GEO concepts
  • Cloud deployment, monitoring, and enterprise application support tools (e.g., Git, Jira, Postman)

Additional Requirements
  • Proven ability to gather requirements, identify gaps, and translate business needs into actionable plans
  • Strong collaboration skills across technical teams, business stakeholders, and external partners
  • Awareness of AI privacy, compliance, security, and risk management considerations
  • Ability to stay current with rapidly evolving AI technologies and industry trends
  • Comfortable working in dynamic environments with shifting priorities and emerging technologies
#SNIT