ZipRecruiter

Log In

2

Remote Rag Jobs in Richmond, VA (NOW HIRING)

Kobie Marketing

AI Engineer

Richmond, VA · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... RAG * Working knowledge of LangChain/LangGraph or a comparable framework like AgentCore Strands ...

Kobie Marketing

AI Engineer

Richmond, VA · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... RAG * Working knowledge of LangChain/LangGraph or a comparable framework like AgentCore Strands ...

All JobsRag JobsRemote Rag JobsRemote Rag Jobs in Richmond, VA

Remote Rag information

See Richmond, VA salary details

$17

$21

$23

How much do remote rag jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for remote rag in Richmond, VA is $21.28, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $22.60 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote RAG?

I'm sorry, but 'Remote Rag' does not appear to be a recognized professional occupation. Please provide a valid job title.

What is a Remote RAG?

A Remote RAG specialist is a professional who works with Retrieval-Augmented Generation (RAG) systems, typically in the field of artificial intelligence and machine learning. RAG combines traditional information retrieval techniques with generative models like large language models to provide more accurate and contextually relevant answers to user queries. Remote RAG specialists often build, fine-tune, and maintain these systems while working from a remote location. They may also work on integrating RAG models into applications, improving retrieval accuracy, and customizing outputs based on user needs.

What are some common challenges faced by professionals working in a remote RAG role?

Professionals in remote RAG roles often encounter challenges related to cross-functional collaboration and maintaining clear communication, especially when working across different time zones. Ensuring alignment on ethical AI standards and compliance requirements can be complex, as it typically involves coordinating with data scientists, legal teams, and business stakeholders. Staying current with evolving regulatory frameworks and best practices in AI governance is also essential, demanding continuous learning and adaptability. Building trust and rapport within a remote team can require extra effort, but leveraging digital collaboration tools and regular check-ins can help mitigate these challenges.
What are the most commonly searched types of Rag jobs in Richmond, VA? The most popular types of Rag jobs in Richmond, VA are:
What are popular job titles related to Remote Rag jobs in Richmond, VA? For Remote Rag jobs in Richmond, VA, the most frequently searched job titles are:
What job categories do people searching Remote Rag jobs in Richmond, VA look for? The top searched job categories for Remote Rag jobs in Richmond, VA are:
What cities near Richmond, VA are hiring for Remote Rag jobs? Cities near Richmond, VA with the most Remote Rag job openings:
Remote Rag jobs near you

AI Engineer (Public Trust)

Digital Links Inc

Glen Allen, VA • Remote

Contractor

Re-posted 23 days ago

Job description

Job Description:

Job Title: AI Developer / AI Engineer
Remote (DMV)
Duration: 5 Years
Clearance: Public Trust
Job Summary:
We are seeking a skilled AI Engineer to design, develop, and deploy scalable AI/ML and Generative AI solutions. The role involves building intelligent systems, integrating AI into enterprise applications, and optimizing model performance in production environments.
Key Responsibilities:
  • Design and develop AI/ML and Generative AI solutions
  • Build and implement RAG (Retrieval-Augmented Generation) pipelines
  • Develop semantic search systems using embeddings and vector databases
  • Integrate LLMs (OpenAI, Anthropic, etc.) into applications
  • Build scalable ML pipelines for training and deployment
  • Develop APIs and microservices (FastAPI, Flask, etc.)
  • Perform data preprocessing, feature engineering, and model evaluation
  • Deploy solutions on AWS/Azure/GCP cloud platforms
  • Implement MLOps practices (CI/CD, monitoring, model versioning)
  • Collaborate with cross-functional teams
Required Skills:
  • Strong programming skills in Python
  • Experience with machine learning frameworks (PyTorch, TensorFlow, scikit-learn)
  • Hands-on experience with Generative AI / LLMs (LangChain, OpenAI APIs)
  • Understanding of NLP, embeddings, vector search, and RAG
  • Experience with databases (SQL/NoSQL, PostgreSQL, Redis, etc.)
  • Experience with API development and backend systems
  • Familiarity with Docker, Kubernetes
  • Experience with cloud platforms (AWS/Azure/GCP)
Preferred Qualifications:
  • Experience with LLM fine-tuning or embedding optimization
  • Knowledge of evaluation metrics (Precision@K, MRR, nDCG)
  • Experience with Airflow, Kafka, or Spark
  • Exposure to React/Next.js or frontend technologies
  • Experience in Agile environments
Key Technologies:
Python | PyTorch | TensorFlow | LangChain | OpenAI | RAG | FAISS | Pinecone | PostgreSQL | Redis | FastAPI | AWS | Azure | Docker | Kubernetes