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Full Time Prompt Engineering Jobs in Florida (NOW HIRING)

Socotec

Software Engineer

Miami, FL

Contribute to AI-powered features: prompt engineering, agent workflows, RAG pipelines, and LLM ... Additional Information For more information, please visit www.socotec.us Job Type: Full-Time All ...

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SOCOTEC

Software Engineer

Coral Gables, FL · On-site

Contribute to AI-powered features: prompt engineering, agent workflows, RAG pipelines, and LLM ... Additional Information For more information, please visit www.socotec.us Job Type: Full-Time All ...

Advita Ortho

Software Engineer

Gainesville, FL · On-site

Permanent - Full Time Location: Gainesville, FL Reporting To: Senior Director Software Engineering ... Explore and implement retrieval-augmented generation (RAG) architectures and prompt engineering ...

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Full Time Prompt Engineering information

What are the key skills and qualifications needed to thrive as a Full Time Prompt Engineer, and why are they important?

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 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 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 are popular job titles related to Full Time Prompt Engineering jobs in Florida? For Full Time Prompt Engineering jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Full Time Prompt Engineering jobs in Florida look for? The top searched job categories for Full Time 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:
Full Time Prompt Engineering jobs near you
Infographic showing various Full Time Prompt Engineering job openings in Florida as of May 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 93% Physical, 4% Hybrid, and 3% Remote job distribution.
Quantitative Developer - AI Implementation

Quantitative Developer - AI Implementation

WorldQuant

Miami, FL • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. They are seeking a talented and motivated Full-Time Software Engineer to play a key role in the development and enhancement of an AI-driven platform, focusing on building and maintaining critical components of the system.
Responsibilities:
• Design, develop, test, and deploy robust and scalable MCP servers and related tools in Python.
• Enhance existing MCPs, including our internal data access tools, to ensure reliable access to strategy metadata, historical PnL data, and PnL attribution by risk factors.
• Develop new MCPs, including but not limited to MCPs for direct data system integration, MCPs for strategy analytics, and MCPs for performance reporting.
• Design and implement secure prompt engineering techniques to interact with LLMs, ensuring effective information retrieval while minimizing the risk of intellectual property leakage.
• Collaborate with project managers, technical leads, and other developers to define technical specifications and integrate various data sources.
• Work on API development and integration, ensuring seamless data flow between different systems (internal knowledge management systems, simulation systems, data warehouses).
• Implement data parsing and manipulation logic for various formats (JSON, CSV).
• Contribute to the design and implementation of data pipelines for strategy metrics and features.
• Address and resolve bugs and issues in existing MCP tools and infrastructure.
• Participate in code reviews, and contribute to unit and integration testing efforts.
• Create and maintain technical documentation for developed components.
• Stay updated with emerging technologies and methodologies in AI, LLMs, prompt engineering, and financial technology.
Qualifications:
Required:
• Strong proficiency in Python programming.
• Proven experience in API development, integration, and consumption.
• Solid understanding of database interaction, data access patterns, and data modeling.
• Experience with data parsing and manipulation libraries and techniques (e.g., pandas, JSON, CSV).
• Understanding of or experience with prompt engineering principles for Large Language Models.
• Awareness of data security and intellectual property protection considerations in the context of AI and LLM applications.
• Excellent problem-solving and analytical skills.
• Strong collaboration and communication skills, with the ability to work effectively in a team.
• High attention to detail and commitment to delivering high-quality software.
• Ability to learn quickly and adapt to new technologies and complex systems.
• Bachelor's or Master's degree in Computer Science, Engineering
Preferred:
• Familiarity with financial data (e.g., PnL, Sharpe ratio, alpha, risk factors, AUM).
• Experience with quantitative trading systems, market data systems, or strategy management platforms (familiarity with internal data systems or command-line data tools is a significant plus).
• Experience working in a Linux environment.
• Understanding of Command Line Interface (CLI) tools and development.
• Familiarity with version control systems (e.g., Git).
Company:
WorldQuant is a quantitative investment management firm. Founded in 2007, the company is headquartered in Old Greenwich, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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