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Remote Retrieval Augmented Generation Jobs (NOW HIRING)

Futran Tech Solutions Pvt. Ltd.

Data Scientist

New Demand - Data Scientist Remote * Total Years of experience 10-12 years * 6 months+ * Occasional ... Additionally, experience in building Retrieval-Augmented Generation (RAG) pipelines for search and ...

Noblesoft Technologies

AI/ML Engineer

Minneapolis, MN · Remote

$106K - $131K/yr

Minneapolis, MN(Remote) 1. Design, develop, test, document, and deploy Salesforce solutions based ... Familiarity with transformers, LLMs, and Retrieval-Augmented Generation (RAG) pipelines using ...

Futran Tech Solutions Pvt. Ltd.

Data Scientist

Additionally, experience in building Retrieval-Augmented Generation (RAG) pipelines for search and chat applications is highly desired. Key Responsibilities: * Develop and optimize NLP models for ...

Cresta

Senior Machine Learning Engineer

OR · On-site +1

$205K - $270K/yr

Architect and scale LLM and retrieval-augmented generation pipelines that ground models in ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

Futran Tech Solutions Pvt. Ltd.

AI Engineer

Remote We are seeking a highly skilled Developer with strong expertise in Artificial Intelligence (AI) coding, particularly in Large Language Models (LLM) and Retrieval-Augmented Generation (RAG ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

Retrieval-Augmented Generation (RAG) * Feature engineering and model evaluation techniques ... Remote Equal Opportunity Employer This employer is required to notify all applicants of their ...

Corvel

Data Scientist II

Retrieval-Augmented Generation (RAG) * Feature engineering and model evaluation techniques ... Remote

Global Channel Management

Remote AI Architect

$64.50 - $85/hr

About the job Remote AI Architect Remote AI Architect needs 10+ years' experience enterprise-wide ... Retrieval-Augmented Generation), and evaluation methodologies. Mentor engineers, analysts, and ...

Noblesoft Technologies

AI Developer

San Jose, CA · Remote

Remote JD: Core Responsibilities * Design, develop, and deploy autonomous AI agents using ... Integrate memory systems and RAG (Retrieval-Augmented Generation) using vector databases for ...

Cayuse Holdings

AI Engineer

Chicago, IL · On-site +1

$58 - $60/hr

Hybrid - Chicago, IL (4 days onsite/1 day remote) Job Type: Independent Contract (Contractor / Non ... Develop use cases leveraging Generative AI, Agentic AI, Retrieval Augmented Generation (RAG), and ...

Cayuse Holdings

AI Engineer

Chicago, IL · On-site +1

$58 - $60/hr

Hybrid - Chicago, IL (4 days onsite/1 day remote) Job Type: Independent Contract (Contractor / Non ... Develop use cases leveraging Generative AI, Agentic AI, Retrieval Augmented Generation (RAG), and ...

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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.
More about Remote Retrieval Augmented Generation jobs
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Remote Retrieval Augmented Generation jobs near you
Infographic showing various Remote Retrieval Augmented Generation job openings in the United States as of June 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 66% Physical, 2% Hybrid, and 32% Remote job distribution.

Senior AI Engineer - LLM Systems & RAG Optimization

Texas Sports Academy

Remote

Contractor

Posted 10 hours ago

Job description

Texas Sports Academy is on the lookout for a Senior AI Engineer specializing in LLM (Large Language Model) Systems and RAG (Retrieval-Augmented Generation) Optimization. As we continue to push the boundaries of sports technology, your role will be pivotal in developing and optimizing AI-driven solutions that enhance our offerings for athletes and coaches. You will be responsible for designing, developing, and fine-tuning LLM systems that can offer personalized insights and performance recommendations based on data-driven analysis. Your expertise in retrieval-augmented generation will enable the integration of comprehensive data sources, empowering our systems to deliver high-quality, context-aware content and responses. You will work collaboratively with data scientists, software engineers, and domain experts to implement scalable AI solutions that drive innovation in our training programs. If you are passionate about harnessing the power of AI to transform the sports industry and have a strong foundation in NLP and machine learning, this is the perfect opportunity for you to make an impact.
Responsibilities
  • Design and implement LLM systems tailored to the needs of athletes and coaches.
  • Optimize retrieval-augmented generation processes to improve the quality and relevance of AI-generated content.
  • Collaborate with cross-functional teams to define AI strategies and ensure alignment with business goals.
  • Conduct research on cutting-edge AI methodologies and integrate them into existing systems.
  • Monitor and evaluate system performance, making data-driven adjustments as necessary.
  • Mentor junior team members and help cultivate a culture of innovation within the department.
  • Document system architecture, processes, and best practices for future reference and team knowledge sharing.

Requirements
  • Master's degree or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • Extensive experience with Large Language Models (LLMs) and retrieval-augmented generation systems.
  • Proficient in programming languages such as Python, with a strong understanding of data structures and algorithms.
  • Familiarity with AI/machine learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries.
  • Experience with optimizing AI models for efficiency and performance.
  • Strong analytical and problem-solving skills with the ability to work effectively in a fast-paced environment.
  • Exceptional communication skills to articulate complex concepts to stakeholders and team members.

Apply