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Full Time Prompt Engineering Jobs in Florida (NOW HIRING)

AI/ML Engineer

Miami, FL · On-site +1

$120K - $150K/yr

AI/ML Engineer Experience: 4-7 Years Job Type: Full-Time Location: Remote / Hybrid / Onsite ... Prompt Engineering * TensorFlow / PyTorch * FastAPI * Docker * Git Secondary Skills * SQL * Azure ...

Strong understanding of prompt engineering and AI tool orchestration * Experience developing ... Fully remote position (LATAM) * Full-time position * Opportunity to work on cutting-edge AI ...

As a full-time Director of AI & Automation at SIXT, you'll be at the heart of Corporate Development ... You receive and apply AI-powered coding assistants and prompt engineering tools to accelerate ...

As a full-time Director of AI & Automation at SIXT, you'll be at the heart of Corporate Development ... You receive and apply AI-powered coding assistants and prompt engineering tools to accelerate ...

As a full-time Director of AI & Automation at SIXT, you'll be at the heart of Corporate Development ... You receive and apply AI-powered coding assistants and prompt engineering tools to accelerate ...

Hands-on building and deploying LLM-based applications, including prompt engineering and fine ... Software Engineer Employment Type: Full time Primary City, State, Region, Postal Code: Glendale, CA ...

... like agent inference, prompt tuning, and orchestration) and coordinating the Tier 2 Staff ... You will manage a lean, high-caliber, hybrid team of full-time Compass software engineers-ranging ...

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Showing results 1-20

Full Time Prompt Engineering information

What is prompt engineering?

Prompt engineering is the practice of designing, testing, and refining the inputs (prompts) given to artificial intelligence models, such as large language models, to achieve specific and desirable outputs. This role involves understanding how AI models interpret language and using that knowledge to create prompts that guide the model toward accurate, relevant, or creative responses. Prompt engineers often work closely with developers, data scientists, and product teams to optimize AI performance for various applications. As AI models become more advanced, prompt engineering has become an essential skill for leveraging their full potential.

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

To thrive as a Full Time Prompt Engineer, you need a solid background in computer science, natural language processing, and machine learning, often supported by a relevant degree or experience with AI models. Familiarity with tools like Python, large language model APIs (such as OpenAI or Anthropic), and prompt optimization frameworks is typically required. Strong analytical thinking, creativity, and clear written communication are crucial soft skills for designing effective prompts and collaborating with multidisciplinary teams. These skills ensure the development of high-performing AI solutions and the ability to translate user needs into actionable, efficient prompts.

What are some common challenges faced by full time prompt engineers, and how can they overcome them?

Full Time Prompt Engineers often encounter the challenge of crafting prompts that consistently yield accurate, relevant, and unbiased responses from AI models. Adapting to rapidly evolving AI technologies and understanding nuanced model behaviors can also be demanding. Overcoming these challenges requires staying current with the latest AI developments, collaborating closely with data scientists and developers, and continuously testing and refining prompts based on feedback and performance metrics. Embracing a mindset of experimentation and regular communication within cross-functional teams is key to success in this dynamic field.

What is the difference between Full Time Prompt Engineering vs Data Scientist?

AspectFull Time Prompt EngineeringData Scientist
Required CredentialsBachelor's in CS, AI, or related; experience with NLP and AI toolsBachelor's/Master's in CS, Statistics, or related; experience with data analysis and modeling
Work EnvironmentTech companies, AI startups, remote or office-basedResearch labs, tech firms, finance, healthcare; often office-based or remote
Industry UsageAI development, NLP projects, chatbot designData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

Full Time Prompt Engineering focuses on designing and optimizing prompts for AI models, primarily in NLP tasks. Data Scientists analyze data to build models and generate insights. While both roles require technical skills and often overlap in AI projects, Prompt Engineers specialize in prompt design, whereas Data Scientists focus on data analysis and modeling.

What are the most commonly searched types of Prompt Engineering jobs in Florida?

The most popular types of Prompt Engineering jobs in Florida are:

What cities in Florida are hiring for Full Time Prompt Engineering jobs?

Cities in Florida with the most Full Time Prompt Engineering job openings:

Infographic showing various Full Time Prompt Engineering job openings in Florida as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Senior Gen AI Developer -Vice President

Citigroup, Inc.

Tampa, FL • On-site

$113K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


Citibank rating

8.3

Company rating: 8.3 out of 10

Based on 177 frontline employees who took The Breakroom Quiz

39th of 171 rated banks


Job description

We are seeking an experienced Senior Generative AI Developer to help drive the design, development, and integration of state-of-the-art Generative AI solutions across our enterprise Controls Technology platform. You will collaborate with cross-functional teams, contribute deep technical expertise, and play a key role in delivering scalable AI solutions to enhance automation and operational efficiency.
Key Responsibilities:
  • Collaborate with AI architects, leads, and stakeholders to design and implement generative AI solutions that address business challenges.
  • Develop, fine-tune, and optimize large language models (LLMs), leveraging both parameter-efficient techniques and full fine-tuning where applicable.
  • Implement and experiment with advanced generative AI methods, including prompt engineering and Retrieval-Augmented Generation (RAG).
  • Support the integration of AI models into production environments, ensuring robust deployment, scalability, and maintainability.
  • Contribute to the development and optimization of real-time and streaming AI solutions.
  • Stay current with the latest advances in generative AI and actively share knowledge with the team.
  • Ensure adherence to ethical AI guidelines, data privacy, and compliance standards.
  • Mentor junior team members, provide code reviews, and foster a culture of technical excellence.

Required Technical Skills:
  • Strong hands-on experience with LLMs and fine-tuning methods such as LoRA, QLoRA, Adapter/Prefix Tuning, and instruction tuning.
  • Practical knowledge of model optimization (compression, quantization) and familiarity with tools such as DeepSpeed, vLLM, GPTQ, or similar.
  • Proficient in prompt engineering and familiarity with prompt design tools/frameworks.
  • Experience building RAG systems, including hybrid search and multi-vector retrieval.
  • Proficient with machine learning frameworks (PyTorch, TensorFlow, Keras) and distributed training.
  • Strong skills in NLP (NER, Dependency Parsing, Text Classification, Topic Modeling), transfer learning, and advanced learning paradigms.
  • Experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML models.
  • Familiarity with generative AI tools like LangChain, LlamaIndex, Hugging Face, and major GenAI APIs (OpenAI, Gemini, Claude, etc.).
  • Solid understanding of AI compliance, guardrails, and responsible AI practices.
  • Strong skills in Python and experience with data preprocessing, feature engineering, and API development.

Required Soft Skills:
  • Strong collaboration skills to work effectively in cross-functional teams.
  • Analytical and proactive approach to problem-solving.
  • Clear communication skills for both technical and non-technical audiences.
  • Eagerness to learn, innovate, and mentor less experienced developers.

Qualifications:
  • At least 5 years of experience in AI/ML, including significant experience in Generative AI.
  • Demonstrated portfolio of successful AI-driven projects in a business environment.
  • Experience working with AWS (or equivalent) cloud infrastructure for AI/ML.

Education:
  • Bachelor's or master's degree in Computer Science, Data Science, AI, or a related field.

Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
Tampa Florida United States
Primary Location Full Time Salary Range:
$113,840.00 - $170,760.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Jun 09, 2026
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

What Citibank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US