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Professional Llm Developer Jobs in Florida (NOW HIRING)

VOLO Health

AI Engineer

Jupiter, FL · On-site

Implement security controls against prompt injection and LLM attack vectors Minimum Requirements * 3-5 years of software engineering with production LLM experience * ​3-5 years of professional ...

Booz Allen Hamilton

DevOps Platform Engineer

Eglin, FL

$62K - $141K/yr

Experience with AI/ML/LLM security such as Hidden Layer * Experience automating, monitoring and ... professional development, tuition assistance, work-life programs, and dependent care. Our ...

Leo Technologies

DevOpsEngineer

Wellington, FL · On-site

$49.25 - $67.50/hr

... professionals for this role. DevOps / Site Reliability Engineer - AI Systems for Corrections ... Our data scientists build LLM-powered agents, RAG pipelines, and ontology-driven analytics -- your ...

Deloitte

AI Engineer Consultant

Tampa, FL · Hybrid

Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants ... Strong interpersonal skills and professional demeanor * Ability to meet deadlines * Ability to ...

Deloitte

AI Engineer Consultant

Jacksonville, FL · Hybrid

Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants ... Strong interpersonal skills and professional demeanor * Ability to meet deadlines * Ability to ...

Deloitte

AI Engineer Consultant

Miami, FL · Hybrid

Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants ... Strong interpersonal skills and professional demeanor * Ability to meet deadlines * Ability to ...

Deloitte

Forward Deployed Engineer- AWS

Tampa, FL

... LLM-powered solutions in client or production environments * 1+ years of experience with AWS AI ... Generative AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer ...

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All JobsProfessional Llm Developer JobsProfessional Llm Developer Jobs in Florida

Professional Llm Developer information

What is a professional LLM developer?

Professional LLM Developers are software engineers or specialists who design, build, and optimize applications and systems that leverage large language models (LLMs) like GPT-4, Claude, or similar AI models. Their work often involves integrating LLMs into products, fine-tuning models for specific tasks, ensuring safe and ethical AI use, and improving performance. They may also create tools and frameworks that facilitate the deployment and scaling of LLM-powered applications. Their expertise combines software development, machine learning, and natural language processing.

What are the key skills and qualifications needed to thrive as a professional LLM developer?

To thrive as a Professional LLM Developer, you need expertise in machine learning, natural language processing, and strong programming skills in languages like Python, often supported by a degree in computer science or related fields. Familiarity with deep learning frameworks (such as PyTorch or TensorFlow), experience with large language model architectures, and knowledge of cloud platforms are typically required, along with certifications like TensorFlow Developer or AWS Certified Machine Learning. Strong problem-solving abilities, teamwork, and effective communication distinguish top performers in this role. These skills ensure the development, fine-tuning, and deployment of robust LLM solutions that meet business and technical needs.

What are some common challenges faced by professional LLM developers when deploying large language models in production environments?

Professional LLM Developers often encounter challenges such as optimizing model performance to balance accuracy with computational efficiency, managing latency for real-time applications, and ensuring data privacy and security. Additionally, integrating LLMs with existing systems and maintaining model versioning can be complex. Collaboration with cross-functional teams, such as data engineers and product managers, is essential to address these challenges and ensure the successful deployment and ongoing maintenance of LLM-driven solutions.

What is the difference between Professional Llm Developer vs Machine Learning Engineer?

AspectProfessional Llm DeveloperMachine Learning Engineer
CredentialsTypically requires advanced degrees in AI, NLP, or related fields; certifications in AI/MLOften holds degrees in computer science, data science, or engineering; certifications in ML frameworks
Work EnvironmentFocuses on developing and fine-tuning large language models, often in research or specialized AI teamsDesigns, builds, and deploys ML models across various applications, in industry or tech companies
Industry UsagePrimarily in AI research, NLP, and companies developing LLM-based productsUsed across tech, finance, healthcare, and other sectors for predictive modeling and automation

While both roles involve AI and machine learning, a Professional Llm Developer specializes in large language models and NLP, whereas a Machine Learning Engineer works on a broader range of ML applications and models across industries.

What are the most commonly searched types of Llm Developer jobs in Florida?

The most popular types of Llm Developer jobs in Florida are:

What are popular job titles related to Professional Llm Developer jobs in Florida?

For Professional Llm Developer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Professional Llm Developer jobs in Florida look for?

The top searched job categories for Professional Llm Developer jobs in Florida are:

What cities in Florida are hiring for Professional Llm Developer jobs?

Cities in Florida with the most Professional Llm Developer job openings:

Professional Llm Developer jobs near you

AI Developer (Claude + Python, On-Site)

United Placement Group

Bradenton, FL • On-site

$45.50 - $62.75/hr

Contractor

Medical, PTO

Posted 11 days ago

Job description

About Us
We are building a small, fast-moving team focused on practical AI agents that actually help people get real work done. You'll work at the intersection of Claude, Python, and modern design-helping us create and integrate AI agents into internal tools, customer-facing experiences, and creative workflows. This is an in-house, on-site role, ideal for someone who has started experimenting with LLMs and wants to grow into a strong applied AI/LLM engineer in a collaborative team setting.

Role Summary
As a Junior AI Developer, you will help build and refine AI agents powered by Claude, integrate them with Python back-ends and third-party APIs, and support collaboration with our design team. You'll work closely with more senior engineers, but you'll also own small features end-to-end-from prototype to production.

Responsibilities
  • Implement and maintain Claude-powered workflows and agents using Python.
  • Call LLM APIs (Claude and others), parse responses, and integrate them into internal tools or web applications.
  • Collaborate with senior engineers to connect agents to external tools, REST APIs, databases, and other services.
  • Help with prompt design and iteration: test different prompts, contexts, and settings to improve reliability and output quality.
  • Assist in building simple context-augmented/RAG-style workflows (e.g., feeding documents or data into LLMs in a controlled way).
  • Write clean, readable Python code with basic tests, logging, and error handling.
  • Work closely with designers and non-technical stakeholders to turn ideas into AI-powered features and tools.
Requirements
  • 1-2+ years of programming experience (professional, internship, or strong project work), with solid Python skills.
  • Some hands-on experience with large language models (Claude, ChatGPT, Gemini, etc.), either through projects, coursework, or personal experimentation.
  • Basic experience calling web APIs (REST/JSON) and handling JSON data in Python.
  • Familiarity with core LLM concepts: prompts, tokens, context windows, and common issues like hallucinations.
  • Comfort using Git and working in a collaborative development environment.
  • Strong desire to learn, experiment, and improve; clear communication and willingness to ask questions.
  • Ability and willingness to work on-site full time at our office location.
Nice to Have
  • Direct experience with Claude (Claude API, Anthropic console, or Claude Skills).
  • Projects involving chatbots, assistants, AI agents, or workflow automation.
  • Exposure to web frameworks (FastAPI, Flask, or a front-end framework like React/Next.js).
  • Experience working with or supporting graphic designers, content teams, or UX designers.
  • Basic understanding of vector databases, embeddings, or RAG-style systems (not required, but a plus).
What We Offer
  • Full-time, on-site position with weekly pay.
  • Competitive compensation package with benefits (health, PTO, etc. - customize as needed).
  • A collaborative environment that encourages growth, shared ideas, and cross-functional learning.
  • Direct mentorship from more experienced AI/LLM engineers on real-world projects.
  • The opportunity to work hands-on with the latest LLM tools and workflows in a supportive team setting.

How to Apply
Please send your resume, a brief introduction, and links to any relevant projects (GitHub, portfolio, or demos). If you've built anything with LLMs-even small experiments-please highlight those; we're excited to see how you think and build.

Apply