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Llm Developer Jobs in Florida (NOW HIRING)

Tror AI for everyone

AI Engineer

Lake Mary, FL · On-site

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

YO AI Labs

GPU Programmer - Remote

Miami, FL · Remote

$60 - $85/hr

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU ...

Virtusa

Java Full stack Developer

Tampa, FL · On-site

$49.50 - $64/hr

Proven experience designing and delivering LLM / GenAI solutions (e.g., RAG, orchestration, prompt engineering, AIassisted automation). Solid understanding of microservices, APIs, distributed systems ...

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$19

$37

$59

How much do llm developer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for llm developer in Florida is $37.49, according to ZipRecruiter salary data. Most workers in this role earn between $29.47 and $45.43 per hour, depending on experience, location, and employer.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

What are the key skills and qualifications needed to thrive as an LLM Developer?

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What is the role of a large language model developer?

A large language model developer designs, trains, and fine-tunes AI models that understand and generate human language. They work with machine learning frameworks, manage large datasets, and optimize models for accuracy and efficiency, often requiring knowledge of programming, deep learning, and natural language processing techniques.

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 Llm Developer jobs in Florida?

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

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

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

What cities in Florida are hiring for Llm Developer jobs?

Cities in Florida with the most Llm Developer job openings:

Llm Developer jobs near you
Infographic showing various Llm Developer job openings in Florida as of August 2026, with employment types broken down into 82% Full Time, 5% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $77,975 per year, or $37.5 per hour.

Information Technology_USA - USA_Developer

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

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

Job description

Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
: /hr- /hr MAX
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Shilpa Bajpai
Location: Basking Ridge, NJ- 100% onsite
Duration: 6 months
skill id: 10772179
Agentic AI, Python, LangChain, Vector databases, RAG pipelines, API integration
Role Descriptions:
Design| develop| and implement machine learning and AI models for business applications.
Build and optimize deep learning| NLP| or computer vision models depending on project requirements.
Deploy models into production using APIs| microservices| or cloud platforms.
Work with large datasets to clean| preprocess| and engineer features.
Monitor and maintain model performance| retraining when necessary.
Collaborate with cross-functional teams including product managers and data engineers.
Research and apply the latest developments in AI and machine learning.
Ensure scalability| security| and reliability of AI solutions.
Required Skills-
Technical Skills-Strong programming skills in Python (preferred) or Java C Experience with machine learning frameworks such as Tensor Flow Torch Scikit-learn
Knowledge of deep learning| NLP| computer vision| or generative AI
Role Descriptions:
Key Responsibilities:
• AI Development: Design and implement Generative AI applications using frameworks like LangChain, LlamaIndex, and LangGraph.
• Agentic Solutions: Build autonomous and semi-autonomous AI agents using AutoGen or CrewAI to solve complex business logic.
• Backend & APIs: Develop and maintain scalable REST APIs using FastAPI or Flask to serve AI models and services.
• Data Architecture: Manage and optimize data retrieval using Elasticsearch, NoSQL databases, and Graph databases like Neo4j.
• LLMOps & MLOps: Establish robust pipelines for model monitoring, evaluation, and deployment to ensure high performance and reliability.
• Full-Stack Integration: Collaborate with front-end teams to integrate AI features into React/Node.js environments.
Required Technical Skills:
• Languages: Expert-level Python (strong hands-on coding) and advanced SQL.
• Frameworks: LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI.
• Databases: ElasticSearch, NoSQL, and Neo4j.
• AI/ML: Solid foundation in Machine Learning, Deep Learning, and LLM fine-tuning/prompt engineering.
• Backend: Proven experience with FastAPI or Flask for production APIs.
• Web: Familiarity with React and Node.js for full-stack AI integration.
Qualifications:
• Minimum 2+ years of experience as an AI Engineer or in a similar specialized Machine Learning role.
• Proven track record of deploying LLM-based applications to production.
• Strong understanding of vector embeddings, semantic search, and RAG architectures.
• Experience with Cloud environments (AWS/GCP/Azure) and CI/CD for ML (MLOps)., Project Code :

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