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Llm Jobs in Florida (NOW HIRING)

Bomnin Chevrolet Dadeland

Sr. AI/ML Engineer (LLM)

Miami, FL · On-site

$99K - $137K/yr

Ensure that LLM integrations are efficient, scalable, and secure, adhering to industry best practices. Position Requirements Qualifications * 5+ years of experience in machine learning, NLP, or ...

LLM Delivery

Delivery Associate

Orlando, FL · On-site

$21/hr

Company Description LLM Delivery, LLC is an Amazon DSP known for its exceptional delivery performance operating out of Amazon Warehouse DFL4. As a Delivery Driver with us, you will play a crucial ...

LLM Delivery

Delivery Associate

Orlando, FL

$21/hr

Company Description LLM Delivery, LLC is an Amazon DSP known for its exceptional delivery performance operating out of Amazon Warehouse DFL4. As a Delivery Driver with us, you will play a crucial ...

LLM Delivery

Delivery Associate

Orlando, FL

Company Description LLM Delivery, LLC is an Amazon DSP known for its exceptional delivery performance operating out of Amazon Warehouse DFL4. As a Delivery Driver with us, you will play a crucial ...

LLM Delivery

Delivery Associate

Orlando, FL · On-site

$21/hr

Company Description LLM Delivery, LLC is an Amazon DSP known for its exceptional delivery performance operating out of Amazon Warehouse DFL4. As a Delivery Driver with us, you will play a crucial ...

VOLO Health

AI Engineer

Jupiter, FL · On-site

You'll embed with users across VOLO Health to understand their challenges, then design and deliver LLM-powered solutions. This role demands technical judgment and genuine empathy: listening, learning ...

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$69K

$115.8K

$147.7K

How much do llm jobs pay per year?

As of Aug 24, 2026, the average yearly pay for llm in Florida is $115,800.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,300.00 and $127,800.00 per year, depending on experience, location, and employer.

What is an LLM?

LLMs, or Large Language Models, are advanced artificial intelligence systems designed to understand and generate human-like text based on vast amounts of data. These models, such as OpenAI's GPT series, are trained on diverse datasets and can perform a range of tasks, including answering questions, writing content, translating languages, and more. LLMs work by predicting the next word in a sequence, allowing them to create coherent and contextually relevant responses. They are widely used in applications like chatbots, virtual assistants, and automated content generation.

What are the key skills and qualifications needed to thrive as an LL.M. graduate?

To thrive as an LLM graduate, you need advanced knowledge of legal principles, strong research and analytical skills, and a prior law degree such as an LLB or JD. Familiarity with legal databases, research tools like Westlaw or LexisNexis, and sometimes bar admission or certification in specific jurisdictions is advantageous. Exceptional written and verbal communication, attention to detail, and cross-cultural competence are standout soft skills in this field. These abilities are crucial for interpreting complex legal issues, advising clients, and succeeding in global or specialized legal practice.

What are some common challenges faced by professionals working with large language models and how can they be addressed?

Professionals working with large language models often encounter challenges such as managing computational resource demands, ensuring data privacy, and mitigating biases in model outputs. Collaboration with data engineers and IT teams is essential to optimize infrastructure and streamline model deployment. Staying updated on best practices and regulatory guidelines helps address ethical concerns and improve model performance. Continuous monitoring and iteration are key to maintaining accuracy and relevance in real-world applications.

What is the difference between Llm vs Paralegal?

AspectLlmParalegal
Required CredentialsLaw degree (JD or equivalent), possibly an LLM for specializationAssociate's degree or certificate in paralegal studies
Work EnvironmentLaw firms, corporate legal departments, academiaLaw firms, corporate legal departments, government agencies
Industry UsageLegal practice, academia, researchLegal support, case preparation, client communication

The main difference is that an Llm is an advanced law degree for specialization or academic purposes, while a paralegal provides legal support and case assistance without being licensed to practice law. Both roles work closely within legal environments, but the Llm is more focused on legal expertise and research, whereas paralegals handle administrative and preparatory tasks.

What jobs can I do with a large language model?

A large language model (LLM) can be used in roles such as AI researcher, NLP engineer, data scientist, or machine learning engineer, focusing on developing and deploying AI applications. These jobs typically require skills in programming, data analysis, and understanding of AI frameworks like TensorFlow or PyTorch.

Which large language model is most in demand?

The most in-demand large language models for jobs like LLM development and deployment are OpenAI's GPT-4 and GPT-3, as well as Google's PaLM and Meta's LLaMA. Skills in fine-tuning, prompt engineering, and understanding these models are highly sought after in the AI industry.
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Llm jobs near you
Infographic showing various Llm job openings in Florida as of August 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $115,800 per year, or $55.7 per hour.

Security Engineer - LLM SecOps

Jacksonville, FL • On-site

RIT Solutions, Inc.
Recruiting and Staffing Services • 201 - 500 employees
Learn more about RIT Solutions, Inc.external

Full-time

Re-posted 26 days ago

Job description

Job Summary:
RIT Solutions, Inc. is a leading US-based fintech organization seeking a Security Engineer specializing in LLM SecOps to join their Product Security Engineering team. The role focuses on securing AI/LLM-powered systems and involves collaborating with engineering teams to design and implement security controls within AI inference pipelines.
Responsibilities:
• Design and implement guardrail systems for securing LLM inputs and outputs in production environments
• Secure Retrieval-Augmented Generation (RAG) pipelines, vector databases, and embedding workflows
• Develop runtime monitoring solutions for AI systems, including prompt logging, context analysis, and response validation
• Secure LLM API endpoints through authentication, rate limiting, and abuse prevention mechanisms
• Detect and respond to AI-related security incidents using structured Root Cause Analysis (RCA) methodologies
• Manage AI supply chain risks, including third-party models, APIs, and plugin integrations
• Collaborate closely with Product Security, Machine Learning Engineering, and Platform teams.
Qualifications:
Required:
• Experience with prompt injection defense, jailbreak detection, and output filtering
• Familiarity with OWASP Top 10 for LLM Applications
• Knowledge of vector database security and embedding pipeline protection
• Experience with data isolation in multi-tenant environments and PII protection
• Experience with logging, anomaly detection, and SIEM integration for AI systems
• Strong understanding of incident response frameworks and RCA practices
• Hands-on experience with AWS environments
• Knowledge of Kubernetes security, container isolation, and IAM/RBAC models
• Experience securing APIs using OAuth, JWT, and rate limiting techniques
• Strong proficiency in Python for automation, scripting, and security tooling
Preferred:
• Experience in fintech, payments, or regulated financial services environments
• Exposure to AI security platforms such as Lakera, Protect AI, HiddenLayer, or similar tools
• Relevant certifications (e.g., AWS Security Specialty, CISSP, OSCP)
• Familiarity with regulatory and data protection frameworks (e.g., PCI-DSS, FCRA)
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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