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Remote Retrieval Augmented Generation Jobs in Miami, FL

Vultus Inc

AI/ML Engineer

Miami, FL · On-site +1

$120K - $150K/yr

Develop Retrieval-Augmented Generation (RAG) pipelines. * Work with vector databases for semantic ... Remote Work Options * Paid Time Off * Learning & Certification Reimbursement * Employee Wellness ...

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 ...

Lennar

Lead Data Engineer

Miami, FL · Remote

$98K - $129K/yr

Collaborate with data science teams to design and optimize data layers specifically tailored for Generative AI applications, Retrieval-Augmented Generation (RAG), and LLM frameworks. * Ecosystem ...

Lennar

Lead Data Engineer

Miami, FL · On-site +1

$98K - $129K/yr

Collaborate with data science teams to design and optimize data layers specifically tailored for Generative AI applications, Retrieval-Augmented Generation (RAG), and LLM frameworks. * Ecosystem ...

Lennar

Lead Data Engineer

Miami, FL · Remote

$98K - $129K/yr

Collaborate with data science teams to design and optimize data layers specifically tailored for Generative AI applications, Retrieval-Augmented Generation (RAG), and LLM frameworks. * Ecosystem ...

Boats Group

AI Software Engineer

Miami, FL · On-site +1

Understanding of prompt engineering, retrieval-augmented reasoning, and tool orchestration ... Embrace a balanced work model with remote work on Mondays and Fridays and in-office collaboration ...

Cotality

Principal Software Engineer (Python)

Sunrise, FL · On-site +1

$128K - $172K/yr

The hybrid-remote Principal Software Development Engineer leads the design, development, and ... Professional experience with Vector Databases, Hybrid Search, and advanced retrieval strategies (e ...

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Remote Retrieval Augmented Generation information

What skills and qualifications are needed to thrive as a remote retrieval augmented generation engineer?

To thrive as a Remote Retrieval Augmented Generation (RAG) Engineer, you need a strong background in machine learning, natural language processing, and information retrieval, often backed by a degree in computer science or a related field. Familiarity with tools and frameworks like PyTorch, TensorFlow, Hugging Face Transformers, and experience with retrieval systems such as Elasticsearch or FAISS are typically required. Problem-solving, effective communication, and adaptability are important soft skills for collaborating remotely and iterating on rapidly evolving AI solutions. These skills ensure the engineer can design, deploy, and optimize robust RAG systems that effectively combine retrieval and generation for high-quality AI outputs.

What is the difference between Remote Retrieval Augmented Generation vs Remote Data Scientist?

AspectRemote Retrieval Augmented GenerationRemote Data Scientist
CredentialsAI/ML knowledge, programming skillsStatistics, programming, domain expertise
Work EnvironmentAI development, NLP projectsData analysis, model building
Industry UsageAI, NLP, machine learningTech, finance, healthcare
Search & ComparisonOften compared for AI roles involving language modelsCompared for data analysis roles

Remote Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with language generation, requiring expertise in AI, NLP, and programming. Remote Data Scientists analyze data, build models, and interpret results, often with statistical and domain knowledge. While both roles may work remotely and involve data handling, Retrieval Augmented Generation emphasizes AI model development, whereas Data Scientists focus on data analysis and insights.

What are common challenges faced by professionals working in remote retrieval augmented generation roles, and how can they be addressed?

Professionals in Remote Retrieval Augmented Generation (RAG) roles often encounter challenges related to integrating diverse data sources, ensuring low latency in information retrieval, and maintaining the quality and relevance of augmented outputs. Coordinating effectively with distributed teams and adapting to rapidly evolving AI technologies are also common hurdles. To address these, staying current with best practices in data engineering, leveraging robust APIs, and participating in regular team check-ins can help ensure smooth collaboration and system performance.

What is remote retrieval augmented generation?

Remote Retrieval Augmented Generation (RAG) is an advanced AI technique that combines large language models with external information sources. In a remote RAG setup, the model retrieves relevant data from remote databases or APIs during the generation process, enhancing its responses with up-to-date or domain-specific knowledge. This approach is widely used in applications that require accurate, context-aware answers, such as chatbots, search engines, and virtual assistants. By leveraging remote retrieval, RAG systems can access a broader range of information without needing to store all data locally.
What are the most commonly searched types of Retrieval Augmented Generation jobs in Miami, FL? The most popular types of Retrieval Augmented Generation jobs in Miami, FL are:
What are popular job titles related to Remote Retrieval Augmented Generation jobs in Miami, FL? For Remote Retrieval Augmented Generation jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Remote Retrieval Augmented Generation jobs in Miami, FL look for? The top searched job categories for Remote Retrieval Augmented Generation jobs in Miami, FL are:
What cities near Miami, FL are hiring for Remote Retrieval Augmented Generation jobs? Cities near Miami, FL with the most Remote Retrieval Augmented Generation job openings:
Remote Retrieval Augmented Generation jobs near you

AI/ML Engineer

Vultus Inc

Miami, FL • On-site, Remote

$120K - $150K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 13 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