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Openai Jobs in Florida (NOW HIRING)

... OpenAI, Azure OpenAI, etc.) Experience with transformers, embeddings, and NLP pipelines Familiarity with RAG architectures and vector search Solid foundation in ML algorithms, statistics, and ...

AI/ML Engineer

Miami, FL · On-site +1

$120K - $150K/yr

OpenAI API / Azure OpenAI * Vector Databases (Pinecone, FAISS, ChromaDB) * Prompt Engineering * TensorFlow / PyTorch * FastAPI * Docker * Git Secondary Skills * SQL * Azure / AWS / GCP * Kubernetes

Hands-on experience with Azure OpenAI, Azure Machine Learning, Azure AI Search, Microsoft Fabric and Lakehouse architectures * Experience with embeddings, vector databases, RAG patterns, LangChain ...

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How much do openai jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for openai in Florida is $21.63, according to ZipRecruiter salary data. Most workers in this role earn between $11.15 and $31.97 per hour, depending on experience, location, and employer.

What is an OpenAI job?

An OpenAI job refers to a role within OpenAI, a leading artificial intelligence research lab focused on developing and promoting AI technologies. Jobs at OpenAI span various fields, including research, engineering, policy, and product development. Employees work on cutting-edge AI advancements, such as large language models and reinforcement learning, to ensure AI benefits humanity.

What are the key skills and qualifications needed to thrive in the OpenAI position?

To thrive at OpenAI, professionals typically need a strong background in computer science, machine learning, and data analysis, often supported by an advanced degree in a related field. Familiarity with programming languages such as Python, frameworks like TensorFlow or PyTorch, and cloud computing platforms is highly valued, along with research experience or relevant technical certifications. Strong problem-solving abilities, creativity, and effective teamwork and communication skills help individuals excel at OpenAI. These skills are critical to successfully developing and deploying innovative AI solutions in fast-paced, collaborative environments.

What types of projects and collaborative opportunities can I expect when working at OpenAI?

At OpenAI, you’ll have the chance to work on cutting-edge AI research and development projects ranging from natural language processing models to reinforcement learning systems. Many projects are highly interdisciplinary, allowing you to collaborate with teams of experts in computer science, engineering, ethics, and policy. Teamwork and collaboration are central to the work culture, offering regular opportunities for knowledge sharing, brainstorming, and peer review. This collaborative environment not only accelerates learning and innovation but also fosters professional growth and exposure to diverse AI challenges.

Does OpenAI hire remote workers?

OpenAI offers remote work opportunities for certain roles, especially in engineering, research, and support functions. Candidates should have strong communication skills and relevant technical expertise, and remote positions may require regular virtual collaboration and adherence to company policies. Availability of remote work depends on the specific role and team needs.

How can I get a job in OpenAI?

To get a job at OpenAI, candidates should review current openings on the company's careers page, ensure they meet the required skills such as expertise in machine learning, AI, or software engineering, and submit a tailored application highlighting relevant experience. Strong technical skills, a background in AI research or development, and familiarity with tools like Python and deep learning frameworks are often preferred. Networking and staying updated on OpenAI's projects can also improve chances of success.

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

The most popular types of Openai jobs in Florida are:

What are popular job titles related to Openai jobs in Florida?

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

Infographic showing various Openai job openings in Florida as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 74% Physical, 8% Hybrid, and 18% Remote job distribution, with an average salary of $44,991 per year, or $21.6 per hour.

$45.75 - $63/hr

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Job description

Python | Generative AI | LLM | RAG | Prompt Engineering | REST APIs | LangChain | Vector Databases | AWS/Azure/OpenAI

Job Summary

We are looking for an experienced GenAI Developer to design, develop, and deploy enterprise-grade Generative AI and LLM-powered applications. The ideal candidate should have strong Python development experience along with hands-on expertise in LLM integration, RAG, prompt engineering, AI agents, APIs, vector databases, and cloud-based AI services. Current GenAI roles commonly combine Python with RAG, agents, vector search, LLM APIs, and production deployment.

Key Responsibilities
  • Design and develop Generative AI / LLM-powered applications for enterprise use cases.
  • Integrate foundation models from OpenAI, Azure OpenAI, AWS Bedrock, Anthropic, or Google Gemini.
  • Develop RAG (Retrieval-Augmented Generation) pipelines for enterprise knowledge applications.
  • Implement document ingestion, chunking, embeddings, retrieval, reranking, and response generation.
  • Design and optimize prompt engineering strategies for different business use cases.
  • Build AI-powered applications such as:
    • Enterprise chatbots
    • AI assistants / copilots
    • Document summarization
    • Question-answering systems
    • Knowledge assistants
    • Document intelligence
  • Develop AI Agents / Agentic AI workflows capable of tool calling and multi-step task execution.
  • Integrate LLMs with enterprise applications, databases, REST APIs, and external tools.
  • Build backend services and APIs using Python, FastAPI, or Flask.
  • Develop reusable components for AI workflows and LLM integrations.
  • Implement guardrails, validation, security, and responsible AI practices.
  • Evaluate LLM responses for accuracy, hallucinations, consistency, and relevance.
  • Optimize AI applications for latency, scalability, reliability, and token/cost efficiency.
  • Deploy and support GenAI applications in cloud environments.
  • Monitor production AI applications and troubleshoot issues.
  • Collaborate with Data Scientists, ML Engineers, Software Engineers, Product Owners, and Architects.
Required Technical Skills
  • Strong hands-on experience with Python.
  • Strong understanding of Generative AI and Large Language Models (LLMs).
  • Experience with Prompt Engineering.
  • Hands-on experience building RAG applications.
  • Experience with embeddings and semantic search.
  • Experience with vector databases such as: