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Llm Prompt Engineer Jobs in Florida (NOW HIRING)

Engineer, AI Prompt Security

Miami, FL · On-site

$110 - $170/hr

... prompt and tool‑invocation layer. This position is a hands‑on engineering role centered on ... Design, build, and maintain prompt‑level security controls and guardrails (LLM firewalls, input ...

New

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

Hands-on LLM integration experience: prompt engineering and context management * Experience working with users to understand needs and iterate on solutions * Strong problem-solving orientation ...

Senior Software Engineer

Lake Mary, FL · On-site

$107K - $141K/yr

Familiarity with LLM-powered systems, such as: * RAG * Chatbots * Agent workflows * Tool use * Prompt engineering * AI-enabled application development * Strong software engineering fundamentals ...

Hands-on experience working with LLM APIs such as Anthropic Claude, OpenAI, or similar * Experience designing and implementing prompt architectures and prompt engineering techniques * Experience ...

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Llm Prompt Engineer information

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 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 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.

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 100% Full Time. Highlights an 82% In-person, and 18% Remote job distribution.

Engineer, AI Prompt Security

Holland America Group

Miami, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Holland America Line rating

6.2

Company rating: 6.2 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

7th of 9 rated cruise lines


Job description


The GCS - Security Architecture function secures Carnival Corp's adoption of AI by protecting GenAI and agentic systems at the prompt and tool-invocation layer. This position is a hands-on engineering role centered on scripting, programming, and automation-building the guardrails, detections, evaluation tooling, and reusable libraries that defend large language model and agentic applications against prompt injection, jailbreaks, and tool misuse. The AI Engineer writes the software and automation that ships these protections into CI/CD and engineering workflows and operationalizes findings from the automated AI red-team / security posture platform to reduce risk to Carnival Corp and customer information assets..
Essential Functions:
  • Design, build, and maintain prompt-level security controls and guardrails (LLM firewalls, input/output filtering, jailbreak and prompt-injection defenses) for GenAI and agentic applications.
  • Develop scripts, programs, and automation (primarily Python) to operationalize prompt-security controls, detections, and policy enforcement across AI applications.
  • Build and maintain automated evaluation harnesses and regression test suites that continuously validate prompt and agent behavior against security policies.
  • Integrate prompt-security controls and tests into CI/CD pipelines and engineering workflows so protections ship with every release.
  • Build reusable libraries, SDKs, and templates that make secure prompting and safe tool-use the default for engineering teams.
  • Enforce identity and PHI/PII/data-protection controls at the prompt and tool-invocation layer, ensuring agents respect least-privilege and data-handling boundaries.
  • Define and document secure-prompting and agentic-development best practices, patterns, and anti-patterns, and drive adoption across engineering teams.
  • Operationalize findings from the automated AI red-team / security posture platform, translating them into prompt-layer fixes and detections.
  • Research and pilot prompt-security and LLM-defense tooling aligned to the NIST AI RMF and OWASP Top 10 for LLM.

Knowledge, Skills & Abilities:
  • Strong software-engineering fundamentals-scripting, programming, and automation (especially Python)-for building security tooling, guardrails, and evaluation harnesses, with sound practices in version control, testing, and CI/CD. Working knowledge of GenAI/LLM and agentic design patterns and protocols (agents, MCP) and prompt-security concepts (prompt injection, jailbreaks, tool misuse). Working knowledge of Identity and Access Management and data security/privacy controls (PHI/PII, encryption). Applied understanding of the NIST AI RMF and OWASP Top 10 for LLM. Strong written and verbal communication, including explaining AI security risks to non-technical stakeholders.

Essential/Minimum qualifications:
  • Bachelor's degree in Computer Science, Cyber Security, Software Engineering, Artificial Intelligence, or a related field (Master's a plus).
  • Strong Python/scripting and general programming ability with sound software-engineering practices (version control, testing, CI/CD). Knowledge of GenAI/LLM and agentic systems, secure MCP configuration, Application/API security, and data protection. Cloud environment (Azure & AWS) security fundamentals.

Essential experience required
  • 3+ years (mid-level) in software/security engineering, AI/ML, or platform engineering in a large enterprise setting, with a strong track record building automation and tooling.
  • Hands-on Python development and CI/CD integration. Identity and Access Management fundamentals. Applied use of the NIST AI RMF and OWASP Top 10 for LLM.

Travel: No travel
Work Conditions: Work primarily in a climate-controlled environment with minimal safety/health hazard potential.
Physical Demands. Work primarily in a climate-controlled environment with minimal safety/health hazard potential.
This position is classified as "in-office." As an in-office role, it requires employees to work from a designated Carnival office in South Florida Monday through Thursday each week. Employees may work from their homes on Fridays. Candidates must be located in (or willing to relocate to) the Miami/Ft. Lauderdale area.
Offers to selected candidates will be made on a fair and equitable basis, taking into account specific job-related skills and experience.
At Carnival, your total rewards package is much more than your base salary. All non-sales roles participate in an annual cash bonus program, while sales roles have an incentive plan. Director and above roles may also be eligible to participate in Carnival's discretionary equity incentive plan. Plus, Carnival provides comprehensive and innovative benefits to meet your needs, including:
  • Health Benefits:
    • Cost-effective medical, dental and vision plans
    • Employee Assistance Program and other mental health resources
    • Additional programs include company paid term life insurance and disability coverage
  • Financial Benefits:
    • 401(k) plan that includes a company match
    • Employee Stock Purchase plan
  • Paid Time Off
    • Holidays - All full-time and part-time with benefits employees receive days off for 8 company-wide holidays, plus 2 additional floating holidays to be taken at the employee's discretion.
    • Vacation Time - All full-time employees at the manager and below level start with 14 days/year; director and above level start with 19 days/year. Part-time with benefits employees receive time off based on the number of hours they work, with a minimum of 84 hours/year. All employees gain additional vacation time with further tenure.
    • Sick Time - All full-time employees receive 80 hours of sick time each year. Part-time with benefits employees receive time off based on the number of hours they work, with a minimum of 60 hours each year.
  • Other Benefits
    • Complementary stand-by cruises, employee discounts on confirmed cruises, plus special rates for family and friends
    • Personal and professional learning and development resources including tuition reimbursement
    • On-site Fitness center at our Miami campus

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About Us
About Us
Carnival Corporation is the world's largest leisure travel company, our mission to deliver unforgettable happiness to our guest through our diverse portfolio of leading cruise brands and island destinations, including Carnival Cruise Line, Holland America Line, Princess Cruises, and Seabourn in North America and Australia; P&O Cruises and Cunard Line in the United Kingdom; AIDA in Germany; Costa Cruises in Southern Europe.
Join us and embark on a career that offers not only the chance to grow professionally but also the opportunity to be part of a global community that makes a difference.
In addition to other duties/functions, this position requires full commitment and support for promoting ethical and compliant culture. More specifically, this position requires integrity, honesty, and respectful treatment of others, as well as a willingness to speak up when they see misconduct or have concerns.
Carnival Corporation and Carnival Cruise Line is an equal employment opportunity/affirmative action employer. In this regard, it does not discriminate against any qualified individual on the basis of sex, race, color, national origin, religion, sexual orientation, age, marital status, mental, physical or sensory disability, or any other classification protected by applicable local, state, federal, and/or international law.
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