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Remote Retrieval Augmented Generation Jobs in Florida

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 ...

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 ...

Lead Data Engineer

Destin, FL · On-site +1

$93K - $122K/yr

Practical, hands-on experience applying AI tools to real work, including LLM-assisted workflows and retrieval-augmented generation (RAG). You know how to structure prompts and context and ground ...

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 ...

Claims Clerk

Tampa, FL · Remote

$12.03 - $21.99/hr

Claims Clerk (Remote) Ready to kickstart your career in a fastmoving, supportive environment? Join ... We're looking for the next generation of leaders to take this journey with us. We hail from more ...

Claims Clerk

Tampa, FL · Remote

$12.03 - $21.99/hr

Claims Clerk (Remote) Ready to kickstart your career in a fastmoving, supportive environment? Join ... We're looking for the next generation of leaders to take this journey with us. We hail from more ...

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 ...

Showing results 21-30

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 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:

Lead Data Engineer

Lennar

Miami, FL • Remote

$98K - $129K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 6 days ago


Lennar rating

8.0

Company rating: 8.0 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

18th of 80 rated construction


Job description

Lead Data Engineer

We are Lennar

Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500 company and consistently ranked among the top homebuilders in the United States.

A Career that Empowers You to Build Your Future

The primary mission of the Lead Data Engineer role is to help our business evolve into a data and insights-driven organization.

The Lead Data Engineer will provide technical leadership to our Product Team. This is done by helping design and implement our next generation data and analytics platforms and products using Data engineering best practices. The Lead Data Engineer also will implementing engineering solutions along with the team. In addition, this person focuses on empowering and enabling our business users through self-service and automation. The Lead Data Engineer is a key role in operationalizing Lennar's enterprise data fabric.


Your Responsibilities on the Team

  • Design, Build, and Operationalize: Formulate production-grade data engineering solutions for Lennar's data and analytics platforms and products.
  • Pipeline Architecture: Architect and implement reliable ETL, ELT, and streaming data ingestion/delivery processes across multiple enterprise sources.
  • Modern Python Development: Develop, maintain, and containerize modular data applications and utility scripts using Python, leveraging modern cloud infrastructure.
  • Scale and Improve Infrastructure: Improve data ingestion architecture, emphasizing data quality, cost-performance, maintainability, and extensibility across storage and compute layers.
  • Enforce Standards and Downstream Integrity: Define and implement engineering standards for the data team (including code modularization, version control, automated testing, and secure CI/CD workflows). Ensure strict guidelines for schema evolution to safeguard downstream analytics from unilateral changes.
  • Platform Observability: Instrument data analytics platforms with robust metrics, alerting, and automated monitoring (SLAs/SLOs) to ensure high availability and data trustworthiness.
  • AI-Driven Productivity: Leverage modern AI-assisted development tools within daily engineering workflows to accelerate code generation, optimize heavy queries, and improve overall delivery speed.
  • AI/ML Integration: 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 Integration: Wrangle and integrate data from highly disparate production systems to allow data analysts and data scientists to leverage optimized, end-to-end data products.
  • Business Alignment: Gain a deep understanding of core business processes and align technical data development with strategic business objectives.

Requirements

Core Expertise (8+ years preferred) in:

  • Data Architecture & Enterprise Modeling: Advanced data warehousing concepts, cloud data lakes, and structured multi-layer designs (Bronze, Silver, Gold).
  • Advanced Data Transformations: Designing complex operational pipelines, data cleanup, and robust standardization strategies.
  • Production SDLC & Workflow Best Practices: Rigorous code reviews, end-to-end testing/QA methodologies, and resilient error-handling frameworks.
  • Data Governance & Security: Implementing enterprise-level role-based access controls (RBAC), data compliance, and secure environments.


Strong Technical Experience (3+ to 6+ years) with:

  • Advanced Python Development: Writing clean, object-oriented, and production-grade Python code for complex data manipulation, automation, and API communication.
  • AWS Platform & Containerization:
    • Hands-on experience deploying, managing, and scaling containerized data workloads using AWS ECS (Elastic Container Service) and ECR.
    • Core AWS architecture: S3, IAM, Lambda, EC2, CloudWatch, and CloudTrail.
    • AWS Certification is a strong plus.
  • Snowflake Data Cloud:
    • Account administration, optimal virtual warehouse clustering strategies, and budget-optimization.
    • Expert feature implementation: Data Sharing, Time Travel, and Zero-copy cloning.
  • dbt (Data Build Tool):
    • Managing multi-repository dbt projects and configuring dbt Cloud environments.
    • Creating, documenting, and optimizing advanced dbt models and custom macros.
  • AI-Assisted Engineering & Data Tools:
    • Daily proficiency with AI coding assistants (GitHub Copilot, Cursor, or Claude/OpenAI APIs) to maximize development efficiency.
    • Familiarity with cloud-native AI services (e.g., Snowflake Cortex or AWS Bedrock) for embedding LLM capabilities directly inside the data layer.
    • Exposure to frameworks used for AI data preparation (e.g., LangChain, Vector Databases, or text embedding generation).
  • Data Ingestion & Integration:
    • Incremental loading and Change Data Capture (CDC) methods.
    • Extensive experience querying and integrating with complex external REST APIs.
  • Version Control & CI/CD: Advanced Git/GitHub branching strategies, pull request enforcement, and automated deployment pipelines.

Familiarity (1+ years of experience) with:

  • Orchestration & Scheduling: Tools like Prefect, Airflow, or similar modern workflow management software.
  • Data Replication: Enterprise tools such as Qlik Replicate.

Soft Skills & Collaboration

  • A "Product-First" Mindset: Demonstrated ability to partner directly with business users and stakeholders to gather solution requirements and translate them into technical assets.
  • Collaborative Drive: Ability to work productively across parallel tracks (Software, Devops, Data) to achieve corporate objectives while protecting engineering quality.
  • Technical Curiosity: A sharp mind and willingness to quickly master new technologies, architectures, and changing business domains.


Physical & Office/Site Presence Requirements:

This is primarily a sedentary office position which requires the incumbent to have the ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs. Finger dexterity is necessary.

  • Travel up to 10% of the time to Divisions within the Lennar family.
  • Interact well with co-workers.
  • Cross train for position(s) within the team organizational structure from time to time, as required by the Leadership Team.
  • Comply with and implement company policies and procedures.
  • Accept constructive criticism.
  • Strong work ethic.
  • Team player.

This description outlines the basic responsibilities and requirements for the position noted. This is not a comprehensive listing of all job duties of the Associates. Duties, responsibilities and activities may change at any time with or without notice.

#LI-KB2

Life at Lennar

At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit Lennartotalrewards.com to view our suite of benefits.

Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview | LinkedIn for the latest job opportunities.

Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.


What Lennar employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Lennar

Sourced by ZipRecruiter

Since 1954, Lennar has built over one million new homes for families across America. We build in some of the nation’s most popular cities, and our communities cater to all lifestyles and family dynamics, whether you are a first-time or move-up buyer, multigenerational family, or Active Adult.

Industry

Construction

Company size

5,001 - 10,000 Employees

Headquarters location

Miami, FL, US

Year founded

1954

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