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Remote Retrieval Augmented Generation Jobs in Miami, FL

VP, Platform Engineering

Fort Lauderdale, FL · On-site +1

$172K - $221K/yr

Oversee the development of Azure based AI applications, including retrieval augmented generation, document intelligence, conversational agents, and client solutions * Ensure responsible AI practices ...

VP, Platform Engineering

Miami, FL · On-site +1

$172K - $221K/yr

Oversee the development of Azure based AI applications, including retrieval augmented generation, document intelligence, conversational agents, and client solutions * Ensure responsible AI practices ...

Retrieval-Augmented Generation (RAG) * Vector Databases * LangChain, LlamaIndex, Semantic Kernel, or similar frameworks * Git, CI/CD, DevOps practices Data & Analytics * Data Engineering * Data ...

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 ...

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 ...

Forward Deployed Engineer

Dania Beach, FL · On-site +1

$102K - $137K/yr

... engineering and retrieval-augmented generation (RAG) patterns in production contexts. • ... Locations Dania Beach, FL, Centennial, CO, Remote USA Remote status Fully Remote Yearly salary 95 ...

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 ...

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 ...

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 ...

Remote Retrieval Augmented Generation information

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 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 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 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 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:

VP, Platform Engineering

Kaufman Rossin

Fort Lauderdale, FL • On-site, Remote

$172K - $221K/yr

Full-time

Posted 18 days ago


Job description

Why We Stand Out

Seeking a career-defining opportunity where your leadership, strategic vision, and client expertise are recognized and rewarded? Kaufman Rossin might be just the place for you.

As one of the top accounting firms in the country, our foundation is "people first." In the words of James Kaufman, "we prioritize our people, their development, and their well-being. Our values are translated into action every day."

Kaufman Rossin is a privately owned, independent public accounting firm, which means we are not beholden to outside investors or private equity influence. This independence allows us to prioritize long-term client relationships, maintain objectivity in our advisory approach, and make strategic decisions that benefit our people and clients, not external stakeholders. Our structure fosters agility, entrepreneurial thinking, and a collaborative culture where leadership is accessible, and innovation is encouraged.

Celebrated as the Best Place to Work in South Florida over a dozen times, Kaufman Rossin has grown to over 700 employees, with offices spanning the tri-county area, including sister entities Kaufman Rossin Wealth and Kaufman Rossin Alternative Investment Services.

Think you have what it takes?

How You'll Contribute

Kaufman Rossin is seeking a VP of Platform Engineering to join our growing Information Technology team. In this role, you will lead the strategy, delivery, and governance of KR's Platform Engineering function, including AI application development, Salesforce CRM, Azure and AWS cloud infrastructure, Microsoft 365, automation and application integration, M Files document management, and our global delivery team in Bengaluru.

Platform Engineering Leadership & Strategy

  • Define the technical roadmap for cloud platforms, DevOps, Kubernetes, infrastructure as code, and AI assisted engineering tools
  • Build, develop, and retain a high performing global engineering team across South Florida and Bengaluru
  • Manage the Platform Engineering budget, including headcount, cloud costs, tools, and vendor contracts
  • Lead transformational initiatives while fostering professional development, accountability, and strong performance AI Applications (Internal & Client-Facing)

AI Applications

  • Establish the AI use case roadmap, model selection strategy, and governance framework
  • Oversee the development of Azure based AI applications, including retrieval augmented generation, document intelligence, conversational agents, and client solutions
  • Ensure responsible AI practices through content filtering, data isolation, audit logging, and appropriate governance controls

Salesforce CRM

  • Provide strategic oversight of Sales Cloud, Marketing Cloud, Service Cloud, and Experience Cloud
  • Partner with Marketing leadership to support campaign management, client engagement, and relationship strategies
  • Ensure Salesforce solutions align with business objectives, integration standards, and user needs

Azure and AWS Cloud Infrastructure

  • Lead cloud infrastructure strategy across Azure and AWS, including architecture, governance, security, and cost management
  • Oversee the migration from AWS to Azure and the transition from Citrix to Azure Virtual Desktop
  • Provide leadership across the Microsoft technology ecosystem, including Microsoft 365, Azure DevOps, Entra ID, Purview, and Sentinel

Automation and Application Integration

  • Lead KR's automation capabilities across Automation Anywhere, UiPath, Power Automate, Workato, and MuleSoft
  • Define build, buy, and platform strategies that improve efficiency, scalability, and return on investment
  • Establish standards for application integration, automation governance, and solution delivery

M Files Document Management

  • Lead the technical implementation and ongoing development of M Files, including architecture, configuration, and integration with Salesforce and Azure
  • Ensure the platform supports the document management, audit, security, and compliance requirements of a CPA firm

Vendor and Stakeholder Management

  • Manage strategic relationships with Microsoft, Salesforce, AI providers, automation platforms, and other technology partners
  • Lead vendor evaluations, requests for proposals, proof of concept assessments, and technology recommendations
  • Collaborate closely with Infrastructure, Security, Data Insights, PMO, Operations, and business leaders
  • Communicate complex technical strategies clearly to executive, client, business, and technical audiences

Requirements

How You'll Stand Out

  • 15 or more years of progressive leadership experience across software development, cloud infrastructure, DevOps, and platform engineering. Deep expertise in Azure and AWS architecture, governance, cost management, DevOps, Kubernetes, and infrastructure as code using Terraform or Bicep
  • Proven leadership experience with AI and machine learning applications, including large language models, retrieval augmented generation, Azure Open AI, responsible AI, and model selection. Strong knowledge of automation and integration technologies, including Automation Anywhere, UiPath, Power Automate, Workato, and MuleSoft
  • Experience implementing M Files or a comparable document management system
  • Experience working within a regulated, document intensive, or professional services environment
  • Knowledge of TOGAF or a comparable enterprise architecture framework

Benefits

We embrace authenticity. Kaufman Rossin is an equal opportunity employer. We are committed to creating a culture that reflects the diversity of our firm and clients. We encourage understanding, acceptance, and celebration among all people. That includes lifestyle, education, experience, race, ethnicity, age, religion, physical ability, sexual orientation, and gender identity. Differences make unique varieties.