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Salaried Rag Jobs in Florida (NOW HIRING)

AI/ML Engineer

Miami, FL · On-site +1

$120K - $150K/yr

Develop Retrieval-Augmented Generation (RAG) pipelines. * Work with vector databases for semantic ... Salary USD $120,000 - $150,000 per annum (Based on experience, skills, and location) Benefits

New

AI Architect

Miami, FL · On-site

$120K - $140K/yr

... RAG systems, vector search, and LLM-based knowledge platforms. • Strong hands-on experience with ... Salary Range: $120,000- $140,000 a year TCS Employee Benefits Summary: Discretionary Annual ...

Gen AI Technology Lead

Tampa, FL · On-site

$113K - $170K/yr

Python, Large Language Models, RAG, Vector databases * Strong hands-on experience with Python ... Tampa Florida United States Primary Location Full Time Salary Range: $113,840.00 - $170,760.00 In ...

AI Technical Architect

Miami, FL · On-site

$63.25 - $76.50/hr

Proven track record architecting RAG systems, vector search, and LLM-based knowledge platforms ... Current Rate/Salary: Expected Base Salary: Notice Period/Availability to Start: Skype ID:

Apply modern interoperability patterns -- REST, GraphQL, event-driven, MCP, and RAG -- to connect ... Compensation & Benefits Salary range: commensurate with experience and the scope of enterprise ...

Principal AI Engineer

Saint Petersburg, FL · On-site +1

$180K - $200K/yr

OpenAI, Anthropic, Gemini, RAG, vector databases, embeddings, AI orchestration * Cloud ... Competitive salary ($180,000-$200,000 DOE) * Hybrid work schedule (Monday, Wednesday, Friday in ...

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Salaried Rag information

What is the difference between Salaried Rag vs Salaried Technician?

AspectSalaried RagSalaried Technician
Required CredentialsHigh school diploma or equivalent, specialized trainingHigh school diploma, technical certification or associate degree
Work EnvironmentOffice or field-based, depending on industryIndustrial, manufacturing, or technical settings
Employer & Industry UsageMedia, printing, or creative industriesManufacturing, maintenance, or technical services
Common Search & ComparisonYesYes

The comparison shows that Salaried Rag and Salaried Technician share similar credential requirements and are used in related industries. Salaried Rag typically refers to roles in media or creative fields, while Salaried Technician is common in technical and industrial sectors. Both roles involve specialized skills and are salaried positions, but their work environments and industry applications differ.

What are the most commonly searched types of Rag jobs in Florida? The most popular types of Rag jobs in Florida are:
What are popular job titles related to Salaried Rag jobs in Florida? For Salaried Rag jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Salaried Rag jobs in Florida look for? The top searched job categories for Salaried Rag jobs in Florida are:
What cities in Florida are hiring for Salaried Rag jobs? Cities in Florida with the most Salaried Rag job openings:
AI/ML Engineer

AI/ML Engineer

Vultus Inc

Miami, FL • On-site, Remote

$120K - $150K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 2 days ago


Job description

AI/ML Engineer
Experience: 4–7 Years
Job Type: Full-Time
Location: Remote / Hybrid / Onsite
Department: Engineering

Job Summary

We are looking for a skilled AI/ML Engineer to design, develop, and deploy machine learning and generative AI solutions. The ideal candidate should have experience building scalable ML models, integrating Large Language Models (LLMs), and working with cloud-based AI services. You will collaborate with cross-functional teams to develop intelligent applications that solve real-world business problems.

Key Responsibilities
  • Design, develop, and deploy machine learning models.
  • Build and optimize Generative AI and LLM-based applications.
  • Fine-tune foundation models for business-specific use cases.
  • Develop Retrieval-Augmented Generation (RAG) pipelines.
  • Work with vector databases for semantic search applications.
  • Perform data preprocessing, feature engineering, and model evaluation.
  • Integrate AI models into production environments using APIs.
  • Monitor model performance and implement continuous improvements.
  • Collaborate with Product Managers, Data Scientists, and Software Engineers.
  • Maintain technical documentation and best practices.
Primary Skills
  • Python
  • Machine Learning
  • Deep Learning
  • Generative AI
  • Large Language Models (LLMs)
  • LangChain / LlamaIndex
  • Retrieval-Augmented Generation (RAG)
  • OpenAI API / Azure OpenAI
  • Vector Databases (Pinecone, FAISS, ChromaDB)
  • Prompt Engineering
  • TensorFlow / PyTorch
  • FastAPI
  • Docker
  • Git
Secondary Skills
  • SQL
  • Azure / AWS / GCP
  • Kubernetes
  • MLflow
  • Hugging Face Transformers
  • CI/CD Pipelines
  • REST APIs
  • Linux
  • Elasticsearch
  • Data Visualization (Power BI/Tableau)
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 4–7 years of experience in Machine Learning or AI development.
  • Strong programming skills in Python.
  • Experience with LLMs, RAG, and vector search implementations.
  • Knowledge of software development best practices and Agile methodologies.
  • Excellent problem-solving and communication skills.
Preferred Qualifications
  • Experience deploying AI applications on Azure or AWS.
  • Familiarity with MLOps tools and model monitoring.
  • Experience building AI-powered chatbots or intelligent assistants.
  • Relevant certifications in AI, Machine Learning, or Cloud technologies.
Salary

USD $120,000 – $150,000 per annum (Based on experience, skills, and location)

Benefits
  • Health, Dental, and Vision Insurance
  • Performance Bonus
  • Flexible Work Hours
  • Remote Work Options
  • Paid Time Off
  • Learning & Certification Reimbursement
  • Employee Wellness Programs
  • Career Growth Opportunities