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Remote Retrieval Augmented Generation Jobs in Florida

Epiq

Software Engineer

Tampa, FL · Remote

Experience with MCP servers, agentic frameworks, and Retrieval-Augmented Generation (RAG). * Strong ... LI-Remote The Compensation range for this role is 110,000 to 160,000 USD annually and may be ...

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 · 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 ...

IntelePeer

AI Agent 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 ...

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 ...

BenefitHub

Backend Developer (Remote)

Tampa, FL · Remote

AI-augmented engineering is core to how this team works. Our developers use AI coding agents ... generation, and pull request preparation. * Perform substantive code reviews on teammates' pull ...

BenefitHub

Backend Developer (Remote)

Tampa, FL · On-site +1

$90K - $105K/yr

AI-augmented engineering is core to how this team works. Our developers use AI coding agents ... generation, and pull request preparation. * Perform substantive code reviews on teammates' pull ...

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 ...

All JobsRemote Retrieval Augmented Generation JobsRemote Retrieval Augmented Generation Jobs in Florida

Remote Retrieval Augmented Generation information

What are the key skills and qualifications needed to thrive as a Remote Retrieval Augmented Generation Engineer, and why are they important?

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 some 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 Florida? The most popular types of Retrieval Augmented Generation jobs in Florida are:
What are popular job titles related to Remote Retrieval Augmented Generation jobs in Florida? For Remote Retrieval Augmented Generation jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Retrieval Augmented Generation jobs in Florida look for? The top searched job categories for Remote Retrieval Augmented Generation jobs in Florida are:
What cities in Florida are hiring for Remote Retrieval Augmented Generation jobs? Cities in Florida with the most Remote Retrieval Augmented Generation job openings:
Remote Retrieval Augmented Generation jobs near you
Senior Technical Cloud Lead with Generative AI (AWS Bedrock & LLM) - 100% Remote

Senior Technical Cloud Lead with Generative AI (AWS Bedrock & LLM) - 100% Remote

Simple Solutions

Jacksonville, FL • On-site, Remote

$85 - $105/hr

Contractor

Posted 9 days ago

Job description


Job Description: Senior Technical Cloud Architect with Generative AI (AWS Bedrock & LLM)
Location: 100% Remote
Employment Type: Full-time / Contract
About the Role
We are seeking a highly motivated Generative AI Consultant with deep expertise in AWS services (especially Bedrock) and hands-on experience implementing Gen AI solutions. The ideal candidate is not only technically strong but also an excellent communicator who can translate complex AI concepts into business value.
Key Responsibilities
  • Design, develop, and deploy Generative AI solutions using AWS Bedrock, SageMaker, and related AI/ML services.
  • Partner with stakeholders to identify use cases, define solution architecture, and deliver proof-of-concepts (POCs) and production deployments.
  • Advise clients on best practices, cost optimization, and security considerations in Gen AI projects.
  • Stay updated on the latest advancements in LLMs, foundation models, and responsible AI practices.
  • Conduct workshops, demos, and presentations to both technical and non-technical audiences.
  • Collaborate with data engineers, ML engineers, and product teams to drive end-to-end AI solution delivery.

Required Skills & Qualifications
  • Strong expertise in AWS Cloud ecosystem, particularly Bedrock, SageMaker, Lambda, API Gateway, and security services.
  • Proven hands-on experience implementing LLM-based solutions (chatbots, summarization, knowledge retrieval, agents, etc.).
  • Solid understanding of vector databases, prompt engineering, and RAG (Retrieval-Augmented Generation).
  • Proficiency in Python and common ML/AI libraries (PyTorch, TensorFlow, LangChain, etc.).
  • Excellent communication and client-facing skills-able to simplify technical ideas and influence stakeholders.
  • Driven, proactive, and comfortable working in fast-paced, ambiguous environments.

Nice-to-Have
  • AWS Certifications (e.g., AWS Certified Machine Learning Specialty, Solutions Architect).
  • Experience with other Gen AI platforms (Azure OpenAI, Google Vertex AI).
  • Familiarity with MLOps and deployment pipelines for Gen AI applications.
  • Prior consulting or client engagement experience.

What We Offer
  • Opportunity to work on cutting-edge Generative AI projects with global impact.
  • A collaborative, innovation-driven environment.
  • Competitive compensation and growth opportunities.

Apply