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Llm Prompt Engineer Jobs in Florida (NOW HIRING)

... LLM-powered features including prompt engineering, fine-tuning, and RLHF concepts. * Deep ... understanding of transformer architectures, token economics, context window management, and ...

... LLM-powered features including prompt engineering, fine-tuning, and RLHF concepts. * Deep ... understanding of transformer architectures, token economics, context window management, and ...

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 ...

FL · On-site

... prompt engineering. • Working with Azure OpenAI, AWS Bedrock, OpenAI, Anthropic, or similar LLM platforms; integrating with enterprise APIs, databases, and knowledge repositories. • Building ...

Gen AI Tech Lead

Tampa, FL · On-site

$132K - $162K/yr

... and LLM integration. • Solid understanding of NLP concepts, transformer models, and prompt engineering. • Ability to translate complex business requirements into scalable AI solutions. • ...

Senior Agentic (AI) Engineer

Orlando, FL · On-site +1

$97K - $134K/yr

Mentor engineers on agent patterns, prompt hygiene, eval discipline, and LLM failure modes. * Technology Stack * Languages: Python, Node.js, TypeScript * Agent / LLM frameworks: LangGraph, LangChain ...

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... prompt/context patterns. * Implement LLM application patterns including RAG, document ingestion ...

... and LLM integration. • Solid understanding of NLP concepts, transformer models, and prompt engineering. • Ability to translate complex business requirements into scalable AI solutions. • ...

Senior Agentic (AI) Engineer

Orlando, FL · On-site +1

$97K - $134K/yr

Mentor engineers on agent patterns, prompt hygiene, eval discipline, and LLM failure modes. * Technology Stack * Languages: Python, Node.js, TypeScript * Agent / LLM frameworks: LangGraph, LangChain ...

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... prompt/context patterns. * Implement LLM application patterns including RAG, document ingestion ...

Senior Agentic (AI) Engineer

Miami, FL · On-site +1

$99K - $137K/yr

Mentor engineers on agent patterns, prompt hygiene, eval discipline, and LLM failure modes. * Technology Stack * Languages: Python, Node.js, TypeScript * Agent / LLM frameworks: LangGraph, LangChain ...

Showing results 21-40

Llm Prompt Engineer information

What is an LLM Prompt Engineer?

An LLM Prompt Engineer is a professional who specializes in designing, testing, and optimizing prompts for large language models (LLMs) such as GPT-4. Their role involves crafting effective instructions and queries to guide the model's output for specific applications, ensuring accuracy, relevance, and reliability. They may also analyze model behavior, implement prompt-based workflows, and collaborate with developers to integrate LLMs into products or services. The goal is to maximize the performance and efficiency of language models in various real-world contexts.

What are the key skills and qualifications needed to thrive as an LLM Prompt Engineer?

To thrive as an LLM Prompt Engineer, you need a deep understanding of natural language processing, prompt engineering strategies, and proficiency in programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), large language model APIs, and version control systems is typically required. Strong analytical thinking, creativity, and effective communication are crucial soft skills for crafting precise prompts and collaborating with cross-functional teams. These skills ensure the development of effective, ethical, and high-performing AI-powered solutions that meet diverse user needs.

What are some common challenges faced by LLM Prompt Engineers when designing effective prompts for large language models?

LLM Prompt Engineers often encounter challenges such as ensuring prompts are both clear and unambiguous to elicit accurate model responses, as well as avoiding bias or unintended outputs. Balancing creativity and specificity in prompt design can be tricky, especially when tailoring prompts for diverse user intents or specialized domains. Additionally, prompt engineers must frequently iterate and test their prompts, collaborating closely with data scientists and product teams to continually refine them based on observed model behavior and user feedback.

What is the difference between Llm Prompt Engineer vs Data Scientist?

AspectLlm Prompt EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; familiarity with NLP and AI toolsBachelor's or higher in CS, Statistics, or related fields; strong programming and statistical skills
Work EnvironmentAI labs, tech companies, startups focusing on NLP and AI modelsData analysis, modeling, and visualization in various industries like finance, healthcare, tech
Employer & Industry UsagePrimarily in AI development, NLP projects, and machine learning teamsAcross industries for data analysis, predictive modeling, and decision support

While both roles involve working with data and AI, Llm Prompt Engineers focus on designing prompts for language models, whereas Data Scientists analyze data to derive insights. The roles share similar educational backgrounds and work environments but differ in their core tasks and industry applications.

Are AI prompt engineers in demand?

AI prompt engineers are increasingly in demand as organizations seek to optimize interactions with large language models and AI systems. The role requires skills in natural language processing, prompt design, and familiarity with AI tools, with job growth driven by expanding AI applications across industries.

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

The top searched job categories for Llm Prompt Engineer jobs in Florida are:

What cities in Florida are hiring for Llm Prompt Engineer jobs?

Cities in Florida with the most Llm Prompt Engineer job openings:

Infographic showing various Llm Prompt Engineer job openings in Florida as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 100% In-person job distribution.

Artificial Intelligence (AI) Engineer III (2316)

Morson Talent

Melbourne, FL • Hybrid

$55 - $62/hr

Full-time

Re-posted yesterday


Job description

Job Description Title: Artificial Intelligence (AI) Engineer III (2316) Location: Melbourne, Florida Openings: 1 Work Model: Hybrid, 2 - 3 days in office Job Type: Contract Duration: 1 Year Rate: $61/hour (W2) + Benefits Hours: 40 hours/week, 8 - 5 Project: Technology Division Position Summary: An AI (Artificial Intelligence) Engineer develops and trains AI models to automate processes and solve complex problems. They design and implement AI systems, ensuring they function effectively and align with business objectives. Responsibilities: Evaluate machine learning processes and select appropriate models.

Collect and analyze large datasets to train AI models. Develop and deploy AI algorithms and systems. Collaborate with cross functional teams to establish goals for AI processes.

Test and validate AI models to ensure accuracy and effectiveness. Manage data and project infrastructure. Stay updated on the latest AI developments and technologies.

Strong Large Language Model (LLM) Expertise Handson experience finetuning, adapting, and deploying LLMs, including prompt engineering, embeddings, and context management. LLM Application & System Architecture Proven ability to design and implement productiongrade LLM solutions such as RAG pipelines, agents, and tool/functioncalling systems. Production MLOps & Model Lifecycle Management Experience owning the endtoend ML lifecycle, including CI/CD, deployment, monitoring, versioning, and performance/cost optimization.

Advanced Python & Software Engineering Strong Python skills with experience building scalable, testable APIs and services that integrate ML/LLM models into enterprise systems. CloudBased Scalable ML Infrastructure Handson experience with AWS, Azure, or GCP, including containerization (Docker), orchestration (Kubernetes), and GPUbased ML workloads. Qualifications: Masters degree in Computer Science, Engineering, or a related field.

Proven experience as an AI Engineer or in a similar role. Strong programming skills in languages such as Python, R, or Java. Experience with machine learning frameworks and libraries.

Excellent analytical and problem-solving abilities. Effective communication and collaboration skills.