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Remote Rag Jobs in Gaithersburg, MD (NOW HIRING)

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)

ITC Federal, Inc.

Full Stack Developer - AI/ML

Fairfax, VA · On-site +1

$180K - $220K/yr

Hybrid - 3 days onsite/2 remote POSITION TIMING: ASAP; hiring immediately BENEFITS: Health, Dental ... Build and implement Retrieval-Augmented Generation (RAG) pipelines and AI-powered applications

NuAxis Innovations

Senior AI Developer

Washington, DC · On-site +1

$61.75 - $81.50/hr

We are currently seeking a talented and motivated Senior AI Developer for a remote federal program ... Design and implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge ...

Northramp LLC

AI Engineer (Mid)

Washington, DC · On-site +1

This role is remote with a preference for candidates located in Virginia, Maryland, or Washington ... Integrate AI/ML capabilities (Vertex AI, Gemini APIs, embeddings, RAG) into enterprise Java and ...

Northramp LLC

AI Engineer (Mid)

Washington, DC · Remote

This role is remote with a preference for candidates located in Virginia, Maryland, or Washington ... Integrate AI/ML capabilities (Vertex AI, Gemini APIs, embeddings, RAG) into enterprise Java and ...

Northramp LLC

AI Engineer (Mid)

Washington, DC · Remote

This role is remote with a preference for candidates located in Virginia, Maryland, or Washington ... Integrate AI/ML capabilities (Vertex AI, Gemini APIs, embeddings, RAG) into enterprise Java and ...

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How much do remote rag jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for remote rag in Gaithersburg, MD is $23.23, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $24.66 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Rag, and why are they important?

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 (Retrieval-Augmented Generation) specialist?

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 (Responsible AI Governance) 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.
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Lead Search and AI Engineer

Lead Search and AI Engineer

Electric Power Research Institute, Inc.

Washington, DC • On-site, Remote

$145K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

Job Title:
Lead Search and AI Engineer
Location:
Remote/Home Based
Job Summary and Description:
The Lead AI Engineer is to design, implement, and support AI-driven document processing, retrieval, and search solutions using Azure AI Search, Retrieval-Augmented Generation (RAG), Knowledge Graphs, Query Orchestration, Prompt Engineering, and Kubernetes-based container deployments.
Key Responsibilities
  • Architect & Deploy AI Solutions: Build AI-driven search and document intelligence systems using Azure AI Search, Knowledge Graphs, and RAG techniques.
  • Query Orchestration: Develop strategies to route and structure user queries efficiently across multiple retrieval systems.
  • RAG-Based Applications: Implement and fine-tune applications for intelligent knowledge retrieval from structured and unstructured documents.
  • Containerized Deployments: Deploy and manage AI applications using Azure Kubernetes Service (AKS) for scalability.
  • Vector Search Optimization: Enhance document retrieval through optimized embeddings and hybrid search techniques.
  • Open-Source Integration: Utilize tools like Tesseract OCR, PyMuPDF, and Pillow for document processing.
  • API Integration: Connect with Profile APIs, Product Metadata, and Downloads to enrich indexing and search capabilities.
  • Compliance & Security: Ensure adherence to export control restrictions and secure document handling best practices.
  • Monitoring & Optimization: Troubleshoot and optimize AI-based workflows for performance and reliability.
  • Stakeholder Collaboration: Work closely with business and technical teams to refine AI-powered document solutions.
Required Skills & Experience
  • Bachelors or Masters Degree in Computer Science or related areas, applicable professional certification with 7+ years of progressive experience providing solutions to complex program/system problems in a business environment in
  • 5+ years in AI/ML, cloud-based search, and document processing.
  • Expertise in Query Orchestration for complex AI pipelines.
  • Strong knowledge of RAG architectures for AI-powered search.
  • Hands-on experience with Azure AI Search, Document Intelligence, and Cognitive Services.
  • Proficiency in vector search, embeddings, and hybrid retrieval techniques.
  • Experience with Kubernetes (AKS) and containerized deployments.
  • Familiarity with Tesseract OCR, PyMuPDF, and Pillow.
  • Strong Python development skills for AI pipelines.
Specialized Expertise
Search & RAG
  • Semantic, BM25, similar ranking and vector search optimization.
  • Custom scoring profiles and relevance tuning.
  • Evaluation metrics (nDCG, MRR, precision@k).
  • Query rewriting, synonym maps, and semantic expansion.
  • Integration with RAG and LLM pipelines for optimized context retrieval.
Prompt Engineering
  • Systematic prompt design and evaluation.
  • RAG-oriented prompting with grounding and guardrails.
  • Instruction hierarchies and multi-agent orchestration.
  • Domain adaptation for EPRI's technical language.
  • Continuous improvement through telemetry and quality analysis.
Preferred Qualifications
  • Experience with hybrid cloud AI solutions (on-prem + cloud).
  • Familiarity with Azure OpenAI, LangChain, or AI Foundry.
  • Deep knowledge of multi-index query orchestration.
  • Expertise in Azure AI search semantic and vector profiling.
  • Expertise in vector other databases such as (FAISS, Weaviate, Pinecone).
  • Background in NLP, document classification, and entity extraction.
  • Understanding of export control compliance and secure document handling.

The salary range for this position is $145,000 USD to $175,000 USD annually.
This salary range is an estimate, and the actual salary may vary based on various factors, including without limitation applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location.
This role is eligible to participate in EPRI's annual incentive program. The amount of incentive varies and is subject to the terms and conditions of the plan.
This role is eligible to participate in EPRI's standard employee benefit programs, which currently include the following: medical, dental, vision, 401k, STD/LTD and paid family leave, life and accident insurance, paid time off (flexible vacation, sick leave, and holiday pay).
EPRI participates in E-Verify, an online system operated jointly by the Department of Homeland Security and the Social Security Administration (SSA). EPRI uses the system to check the work status of new hires by comparing information from the employee's I-9 form against SSA and Department of Homeland Security databases.
EPRI is an equal opportunity employer. EEO/AA/M/F/VETS/Disabled
Together . . . Shaping the Future of Energy.
www.epri.com

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