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Remote Rag Jobs in Hialeah, FL (NOW HIRING)

Vultus Inc

AI/ML Engineer

Miami, FL · On-site +1

$120K - $150K/yr

Remote / Hybrid / Onsite Department: Engineering Job Summary We are looking for a skilled AI/ML ... Develop Retrieval-Augmented Generation (RAG) pipelines. * Work with vector databases for semantic ...

New

Worth AI

Senior Agentic (AI) Engineer

Miami, FL · On-site +1

$99K - $137K/yr

Strong RAG fundamentals chunking, embeddings, hybrid retrieval, reranking, grounding - and judgment ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Worth AI

Senior Agentic (AI) Engineer

Miami, FL · Remote

$107K - $146K/yr

Strong RAG fundamentals chunking, embeddings, hybrid retrieval, reranking, grounding -- and ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Seez

AI Backend Engineer

Fort Lauderdale, FL · Remote

Build and optimise Retrieval-Augmented Generation (RAG) pipelines and vector search solutions ... Flexible remote work options * Open door policy to CEO and all Leadership team * One-on-one ...

New

Seez

AI Backend Engineer

Fort Lauderdale, FL · On-site +1

Build and optimise Retrieval-Augmented Generation (RAG) pipelines and vector search solutions ... Flexible remote work options * Open door policy to CEO and all Leadership team * One-on-one ...

New

Seez

AI Backend Engineer

Fort Lauderdale, FL · On-site +1

Build and optimise Retrieval-Augmented Generation (RAG) pipelines and vector search solutions ... Flexible remote work options * Open door policy to CEO and all Leadership team * One-on-one ...

New

Seez

Generative AI and ML Engineer

Fort Lauderdale, FL · On-site +1

Proven experience with Large Language Models, RAG, fine-tuning, embeddings, and vector databases ... Flexible remote work options * Open door policy to CEO and all Leadership team * One-on-one ...

Humana

Senior Applied AI Engineer

Fort Lauderdale, FL · On-site +1

$99K - $137K/yr

Familiarity with RAG architecture, vector databases, or agentic orchestration. * Familiarity with ... This position's work style is remote from any of the locations listed below. You must reside in ...

Humana

Senior Applied AI Engineer

Fort Lauderdale, FL · On-site +1

$99K - $137K/yr

Familiarity with RAG architecture, vector databases, or agentic orchestration. * Familiarity with ... This position's work style is remote from any of the locations listed below. You must reside in ...

Humana

Senior Applied AI Engineer

Fort Lauderdale, FL · On-site +1

$99K - $137K/yr

Familiarity with RAG architecture, vector databases, or agentic orchestration. * Familiarity with ... This position's work style is remote from any of the locations listed below. You must reside in ...

Humana

Lead, Offensive Security

Miami, FL · Remote

The Bigger Picture Join a 100% remote, highly specialized offensive security team where you will ... Red-team the enterprise's own AI-LLM-powered products, agents, RAG pipelines, and ML applications ...

Humana

Lead, Offensive Security

Miami, FL · Remote

The Bigger Picture Join a 100% remote, highly specialized offensive security team where you will ... Red-team the enterprise's own AI-LLM-powered products, agents, RAG pipelines, and ML applications ...

Humana

Lead, Offensive Security

Miami, FL · Remote

The Bigger Picture Join a 100% remote, highly specialized offensive security team where you will ... Red-team the enterprise's own AI-LLM-powered products, agents, RAG pipelines, and ML applications ...

All JobsRag JobsRemote Rag JobsRemote Rag Jobs in Hialeah, FL

Remote Rag information

See Hialeah, FL salary details

$15

$19

$21

How much do remote rag jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for remote rag in Hialeah, FL is $19.47, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $20.67 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Rag, and why are they important?

I'm sorry, but 'Remote Rag' does not appear to be a recognized professional occupation. Please provide a valid job title.

What is a Remote RAG (Retrieval-Augmented Generation) specialist?

A Remote RAG specialist is a professional who works with Retrieval-Augmented Generation (RAG) systems, typically in the field of artificial intelligence and machine learning. RAG combines traditional information retrieval techniques with generative models like large language models to provide more accurate and contextually relevant answers to user queries. Remote RAG specialists often build, fine-tune, and maintain these systems while working from a remote location. They may also work on integrating RAG models into applications, improving retrieval accuracy, and customizing outputs based on user needs.

What are some common challenges faced by professionals working in a remote RAG (Responsible AI Governance) role?

Professionals in remote RAG roles often encounter challenges related to cross-functional collaboration and maintaining clear communication, especially when working across different time zones. Ensuring alignment on ethical AI standards and compliance requirements can be complex, as it typically involves coordinating with data scientists, legal teams, and business stakeholders. Staying current with evolving regulatory frameworks and best practices in AI governance is also essential, demanding continuous learning and adaptability. Building trust and rapport within a remote team can require extra effort, but leveraging digital collaboration tools and regular check-ins can help mitigate these challenges.
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Remote Rag jobs near you
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