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Remote Retrieval Augmented Generation Jobs (NOW HIRING)

Berriehill Research

Senior AI Technologist

Albuquerque, NM · On-site +1

$50.50 - $65/hr

... retrieval-augmented generation (RAG), AI agents, and automation frameworks to solve real business ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Berriehill Research

Senior AI Technologist

Raleigh, NC · On-site +1

$48.75 - $63/hr

... retrieval-augmented generation (RAG), AI agents, and automation frameworks to solve real business ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Merican

Full Stack AI Engineer (Generative AI)

Remote About the Role We are seeking a highly skilled Full Stack AI Engineer to design, develop ... Design and implement Retrieval-Augmented Generation (RAG) architectures using enterprise data ...

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 ...

New

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 ...

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 ...

Archesys Inc

AI Software Engineer

Baltimore, MD · Remote

$100K - $135K/yr

... Retrieval-Augmented Generation (RAG), and Agentic AI. This is a hands-on engineering role where you'll design, develop, deploy, and optimize secure AI solutions running on AWS. This is a fully remote ...

System One

AI/ML Engineer

Mclean, VA · Remote

Remote Work Authorization: Must be able to work without sponsorship Clearance Requirement: Must be ... This position will focus on Retrieval-Augmented Generation, conversational AI, agentic workflows ...

New

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 ...

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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
What cities are hiring for Remote Retrieval Augmented Generation jobs? Cities with the most Remote Retrieval Augmented Generation job openings:
What are the most commonly searched types of Retrieval Augmented Generation jobs? The most popular types of Retrieval Augmented Generation jobs are:
What states have the most Remote Retrieval Augmented Generation jobs? States with the most job openings for Remote Retrieval Augmented Generation jobs include:
What job categories do people searching Remote Retrieval Augmented Generation jobs look for? The top searched job categories for Remote Retrieval Augmented Generation jobs are:
Remote Retrieval Augmented Generation jobs near you
Infographic showing various Remote Retrieval Augmented Generation job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% Remote job distribution.

Senior AI Technologist

Berriehill Research

Albuquerque, NM • On-site, Remote

$50.50 - $65/hr

Full-time

Posted 21 days ago

Job description

We are seeking an experienced AI Technologist to drive the discovery, design, and adoption of enterprise AI capabilities across the organization. This is a greenfield opportunity to help build our enterprise AI program from the ground up by identifying high-value use cases, assessing AI readiness, and guiding the implementation of secure, scalable AI solutions.

Working closely with business units, engineers, and functional teams, you will leverage applied AI technologies including large language models (LLMs), retrieval-augmented generation (RAG), AI agents, and automation frameworks to solve real business challenges and improve operational efficiency. This role focuses on applying existing AI technologies to deliver business value rather than developing or training AI models.

You will partner with technical teams to deploy AI solutions in highly regulated on-premises and cloud environments while ensuring alignment with security, governance, and enterprise architecture standards.

Essential Functions:

  • Identify, evaluate, and prioritize opportunities to integrate AI into existing and new organizational processes and tooling.
  • Design and establish data structures, metadata models, naming conventions, and information architecture standards that enable scalable AI solutions.
  • Design AI solution approaches using existing technologies such as large language models (LLMs), retrieval-augmented generation (RAG), AI agents, and orchestration frameworks to address business and operational challenges.
  • Support onboarding new AI projects by identifying data requirements, assessing data readiness, and defining ingestion and preparation workflows.
  • Develop processes to measure and improve ongoing data quality, consistency, completeness, and accuracy across AI datasets and workflows.
  • Define and support data preparation, ingestion, and retrieval workflows that enable production AI applications, retrieval-augmented generation (RAG), and AI agent solutions.
  • Collaborate with technical and business stakeholders across divisions to understand data sources, use cases, and operational constraints.
  • Create and maintain documentation for data standards, transformation logic, onboarding procedures, and quality controls.
  • Partner with AI, software, platform, and security teams to ensure data workflows are scalable, secure, and aligned with organizational objectives.

Experience and Skills Required:

  • Bachelor’s degree in computer science, Data Engineering, Information Systems, Engineering, Mathematics, or a related STEM field 8-10 years of engineering experience
  • 3+ years of experience supporting AI, natural language processing, RAG, and related solutions.
  • Experience preparing and transforming data for analytics, machine learning, search, or AI-enabled applications.
  • Experience designing vector databases and retrieval pipelines.
  • Experience developing MCP Servers and Clients.
  • Understanding of data quality management practices, including validation, normalization, deduplication, and error handling.
  • Experience working with AI platforms, Kubernetes, and cloud AI environments (Azure Foundry, AWS Bedrock).
  • Strong experience developing AI solutions in Python, Golang, or Typescript.
  • Strong analytical, troubleshooting, and documentation skills.
  • Excellent communication skills and the ability to work effectively with cross-functional teams.

Preferred:

  • Experience with data platforms and tooling such as Pandas, Spark, Airflow, dbt, or similar ecosystems.
  • Familiarity with vector databases, embeddings pipelines, chunking strategies, and retrieval-augmented generation workflows.
  • Experience designing data schemas, taxonomies, ontologies, or metadata standards for enterprise information.
  • Experience working in regulated environments with standards such as NIST or CMMC.
  • Experience supporting scientific, engineering, defense, or national security-related data initiatives.
  • Experience working with DevOps systems, git, CI/CD, GitOps.
  • DoD experience.
  • Active Secret clearance preferred, or ability to obtain and maintain a Secret clearance.

Education:

  • Bachelor’s degree in CS, Software Engineering or other IT-related field or equivalent experience

REMOTE WORK NOTICE: This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be given to candidates located onsite in the Albuquerque, NM and Raleigh, NC area.

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