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Hugging Face Jobs in Florida (NOW HIRING)

Utilize tools like OpenAI API, Hugging Face, LangChain, LlamaIndex, and cloud platforms (AWS, Azure, GCP) for AI development and deployment. Required: • 5+ years of experience in AI/ML engineering ...

Utilize tools like OpenAI API, Hugging Face, LangChain, LlamaIndex, and cloud platforms (AWS, Azure, GCP) for AI development and deployment. Required: · 5+ years of experience in AI/ML engineering ...

AI/ML Engineer

Tampa, FL · Remote

$140K - $220K/yr

Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain. * Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or ...

You will have deep proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers, AWS SageMaker/Bedrock, and hands-on experience with CNN/transformer architectures, OCR technologies, and ...

You will have deep proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers, AWS SageMaker/Bedrock, and hands-on experience with CNN/transformer architectures, OCR technologies, and ...

You will have deep proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers, AWS SageMaker/Bedrock, and hands-on experience with CNN/transformer architectures, OCR technologies, and ...

You will have deep proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers, AWS SageMaker/Bedrock, and hands-on experience with CNN/transformer architectures, OCR technologies, and ...

... LangChain, Hugging Face, Llama Index etc. Preferred : • Working experience with Gemini LLM • Hands-on knowledge in machine learning frameworks like PyTorch, TensorFlow, Keras • Hands-On ...

Senior AI Application Engineer

Tampa, FL · On-site +1

$120K - $140K/yr

Deep hands-on experience with LLM frameworks -- LangChain, LangGraph, LlamaIndex, OpenAI/Anthropic SDKs, Hugging Face; able to reason about trade-offs across them. * Demonstrated experience building ...

LangChain, LlamaIndex, Semantic Kernel, Hugging Face. * LLMs: OpenAI GPT, Anthropic Claude, LLaMA, Falcon, or similar. * Vector Databases: Pinecone, Weaviate, Redis Vector, or Azure Cognitive Search.

Sr Python Developer

Tampa, FL · On-site

$114K - $154K/yr

Experience with other LLM frameworks (e.g., LlamaIndex, Hugging Face Transformers ). * Exposure to MLOps/LLMOps practices for model deployment and monitoring. * Familiarity with front-end integration ...

... Hugging Face Transformers, LangChain, PyTorch). • Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search). • Familiarity with cloud platforms and Gen AI services ...

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Hugging Face information

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How much do hugging face jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for hugging face in Florida is $11.55, according to ZipRecruiter salary data. Most workers in this role earn between $9.71 and $13.65 per hour, depending on experience, location, and employer.

What professions make 500,000 a year?

Professions that can earn $500,000 or more annually include senior roles such as CEOs, investment bankers, specialized surgeons, and successful entrepreneurs. High earnings often require extensive experience, advanced skills, and often involve leadership or highly specialized knowledge in their fields.

What is the difference between Hugging Face vs Machine Learning Engineer?

AspectHugging FaceMachine Learning Engineer
Required CredentialsTypically requires knowledge of NLP, deep learning, and Python; certifications are optionalRequires degrees in CS or related fields; experience with ML frameworks; certifications beneficial
Work EnvironmentCollaborative, research-focused, often in tech companies or startupsDevelopment, deployment, and optimization of ML models in various industries
Employer & Industry UsageUsed by AI/ML companies, research labs, and open-source communitiesEmployed across tech, finance, healthcare, and other sectors implementing ML solutions

Hugging Face primarily focuses on NLP tools, libraries, and open-source models, serving as a platform for AI research and development. Machine Learning Engineers develop, implement, and optimize ML models across various domains. While Hugging Face offers resources and tools that ML Engineers use, the roles differ: Hugging Face is a platform, whereas Machine Learning Engineer is a job role involving hands-on model development and deployment.

What cities in Florida are hiring for Hugging Face jobs? Cities in Florida with the most Hugging Face job openings:
Infographic showing various Hugging Face job openings in Florida as of May 2026, with employment types broken down into 96% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $24,026 per year, or $11.6 per hour.

Python Developer (AI/LLM Specialist)

Purple Drive Technologies

Tampa, FL • On-site

$47.50 - $65.50/hr

Full-time

Posted 6 days ago


Job description

Overview:
Python Developer (AI/LLM Specialist)
Location: Tampa, FL - Onsite
Type: Contract
Role Overview
We are seeking a highly skilled Python Developer with expertise in AI, LLM integration, and agentic frameworks. The ideal candidate will design, build, and deploy advanced multi-agent AI systems, reasoning pipelines, and task automation flows, while ensuring scalability and performance. This role also requires leadership skills to mentor junior developers, guide project scoping, and align with cross-functional stakeholders.
Key Responsibilities
  • Develop and maintain Python applications leveraging modern frameworks (asyncio, FastAPI/Flask, multiprocessing).
  • Design and implement AI-driven agentic systems using LangChain, LangGraph, LlamaIndex, Haystack, Semantic Kernel, AutoGen, and similar frameworks.
  • Integrate and fine-tune LLMs (OpenAI, Anthropic, Hugging Face, Mistral, and other open-source models).
  • Apply advanced prompt engineering, RAG (retrieval-augmented generation), chain-of-thought orchestration, tool use, and function calling to optimize AI system performance.
  • Architect scalable reasoning pipelines and task automation flows.
  • Implement containerization and deployment with Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure), including GPU optimization.
  • Drive model evaluation strategies and best practices for Model Ops.
  • Mentor team members, provide technical leadership, and ensure alignment across cross-functional teams.
Required Skills & Experience
  • 8+ years of professional Python development experience.
  • Proven expertise in agentic frameworks (LangChain, LangGraph, LlamaIndex, Haystack, Semantic Kernel, AutoGen, etc.).
  • Strong background in LLM integration: fine-tuning, RAG, prompt engineering, orchestration, and tool/function usage.
  • Hands-on experience with Hugging Face Transformers, OpenAI APIs, Anthropic, Mistral, and open-source models.
  • Proficiency in FastAPI/Flask, asyncio, multiprocessing.
  • Deployment experience with Docker, Kubernetes, GPU optimization, and cloud platforms (AWS/GCP/Azure).
  • Strong system design skills for multi-agent systems and reasoning pipelines.
  • Excellent leadership, mentorship, and project scoping abilities.
Nice to Have
  • Research or implementation experience with emerging LLM/AI agent frameworks.
  • Prior experience in large-scale AI/ML deployments in production environments.
  • Contributions to open-source AI/ML projects.