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Remote Retrieval Augmented Generation Jobs (NOW HIRING)

Globalchannelmanagement

Remote AI Architect

Boston, MA · Remote

$90 - $92/hr

Remote AI Architect needs 10+ years' experience enterprise-wide AI programs or platform buildouts ... Retrieval-Augmented Generation), and evaluation methodologies. Mentor engineers, analysts, and ...

Cresta

Senior Machine Learning Engineer

$125K - $165K/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 ...

Global Alliant Inc

AI Engineer

Columbia, MD · On-site +1

Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain ... Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG)

CoreStory

AI Engineer

Understanding of retrieval-augmented generation (RAG) patterns, embeddings, and tokenization ... Flexible, remote-first work environment. * Opportunities to define and build the AI roadmap of a ...

rSTAR Technologies LLC.

AI Architect

Westmont, IL · Remote

$63.50 - $82.75/hr

The ideal candidate will bring deep expertise in Python, FastAPI, and Retrieval-Augmented Generation (RAG) solutions, with hands-on experience deploying scalable AI applications on Azure. This role ...

Tebra

Senior AI Automation Engineer

OR · Remote

$103K - $136K/yr

Own the Retrieval-Augmented Generation (RAG) lifecycle end-to-end, including ingestion, chunking ... Remote

Blockskye

Senior Full-Stack Engineer (Node.js, AI)

Design and ship AI-native features end-to-end - LLM endpoints, retrieval-augmented generation (RAG) pipelines, tool/function calling, and agentic workflows - that meet the same bar for reliability ...

SumerSports LLC

AI Application Engineer

Strong understanding of prompt engineering, retrieval-augmented generation, and evaluation ... Remote working environment * A flexible, unlimited time off policy * Generous paid holiday schedule ...

Mastech Digital

AI Full Stack Engineer

Chicago, IL · Remote

$70 - $75/hr

AWS Solutions Architect, AWS Developer, or Kubernetes Application Developer. - Hands-on experience with Langchain/LlamaIndex and RAG (retrieval-augmented generation) architecture. - Proven experience ...

Morningstar

Senior Software Engineer

$153K/yr

Remote work requests will be considered consistent with company's remote work policy. Job ... Multiprovider integration (OpenAI, Anthropic, MistralAI, etc.), Retrieval augmented generation ...

Morningstar

Senior Software Engineer

Chicago, IL · On-site +1

$153K/yr

Remote work requests will be considered consistent with company's remote work policy. Job ... Multiprovider integration (OpenAI, Anthropic, MistralAI, etc.), Retrieval augmented generation ...

Jahnel Group

Senior AI Engineer

Schenectady, NY · On-site +1

$120K - $160K/yr

Apply prompt engineering and retrieval-augmented generation (RAG) techniques to improve model ... Schenectady, New York * 100% Remote for the right candidate Compensation Package (Salary ...

Jahnel Group

Senior AI Engineer

Schenectady, NY · On-site +1

$120K - $160K/yr

Apply prompt engineering and retrieval-augmented generation (RAG) techniques to improve model ... Schenectady, New York * 100% Remote for the right candidate Compensation Package (Salary ...

Innowhyte Inc

We are hiring an AI Engineer specializing in LLMs (Large Language Models), Retrieval Augmented Generation ( RAG ), and Generative AI. The role involves building advanced AI solutions that leverage ...

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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:
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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.

Remote AI Architect

Globalchannelmanagement

Boston, MA • Remote

$90 - $92/hr

Full-time

Posted 4 days ago

Job description

Remote AI Architect needs 10+ years' experience enterprise-wide AI programs or platform buildouts.

AI Architect requires:

  • Strong understanding of data governance, privacy, security, and model risk management.
  • Prior experience with large-scale transformation programs.
  • equired Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related technical field.
  • 5+ years of experience in application development, engineering, or solution delivery roles.
  • 1+ years of hands-on experience in AI/ML engineering, data science, or AI solution architecture.
  • Strong hands-on experience with machine learning frameworks and LLM platforms (e.g., OpenAI, Azure AI Foundry, Copilot Studio/Agent Builder, or comparable generative AI ecosystems).
  • Deep expertise in cloud platforms, particularly Microsoft Azure, and modern architectural patterns (microservices, event-driven architectures, API-first design).
  • Proficiency in one or more of the following: Python, Azure Machine Learning, or related AI/ML tooling.
  • Experience with MLOps/LLMOps ecosystems, including tools such as MLflow, Kubernetes, LangChain, vector databases, and feature stores.
  • Strong hands on experience with ML frameworks, LLM platforms - OpenAI, MSFT/Azure Cloud foundry, Copilot Studio Agent builder, low code/no code platforms, and generative AI tools.
  • Background in RAG systems, model fine tuning, embeddings, vector storage, and retrieval optimization.

AI Architect duties:

Provide architectural oversight across AI/ML projects to ensure consistency, performance, and maintainability.

Evaluate and select AI technologies, frameworks, cloud services, vector databases, LLM orchestration frameworks, and tooling.

Support development teams on model selection, training pipelines, prompt engineering, fine tuning, RAG (Retrieval-Augmented Generation), and evaluation methodologies.

Mentor engineers, analysts, and product teams on AI best practices.