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Remote Rag Jobs in Frederick, MD (NOW HIRING)

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)

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)

AI Engineer

Rockville, MD · Remote

$140K/yr

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)

Design and integrate LLM applications, including multi-agent systems, tool-using agents, RAG ... performing, remote-first workforce. micro1 is an equal opportunity employer. All qualified ...

ServiceNow Practice Lead

Leesburg, VA · Remote

$17 - $19.75/hr

This position is partially remote but will require regular client meetings in the DC Metro area ... Retrieval-Augmented Generation (RAG) frameworks * Prompt engineering strategies * Agentic workflows ...

Remote Rag information

See Frederick, MD salary details

$17

$21

$23

How much do remote rag jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for remote rag in Frederick, MD is $21.38, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $22.69 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?

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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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AI Engineer

AI Engineer

Global Alliant Inc

Rockville, MD • On-site, Remote

Full-time

Posted 4 days ago


Job description

Position: AI Engineer
Location: Remote/Hybrid (subject to contract requirements)
Clearance: Must be eligible to obtain and maintain a Public Trust

Criteria: Need US citizenshipbecause of federal regulations and the sensitive nature of the work involved.


Key Qualifications:

  • 5+ years of experience in AI/ML, Data Science, or Data Engineering
  • 3+ years of experience working with healthcare data
  • Strong experience with Python, SQL, Machine Learning, NLP, and Generative AI technologies
  • Experience with healthcare datasets, including Medicare, Medicaid, claims, provider, beneficiary, or clinical data
  • Familiarity with healthcare interoperability standards such as FHIR and HL7
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Knowledge of HIPAA, healthcare data governance, and federal compliance requirements
  • Experience supporting federal healthcare programs or CMS initiatives is highly preferred


Preferred Skills:

  • Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG)
  • Databricks, Snowflake, Spark/PySpark
  • Healthcare analytics, fraud/waste/abuse detection, risk adjustment, and population health initiatives


If interested in applying for the position, please reach out to me at mayuri.s@globalalliantinc.com






Global Alliant logo

About Global Alliant

Sourced by ZipRecruiter

Global Alliant is an Innovative and Award winning Information Technology and Software Development Company based in Maryland. We partner with clients to transform their complex and mission critical business challenges using Digital Transformation, Cloud Modernization, Agile Engineering, and Process Automation Solutions. Our core capabilities reach across Public Sectors composed of Federal, State, and Local Government Agencies, and deliver the Best in Class Solutions. Global Alliant understands rapid policy changes to bring suitable program and delivery oversight coupled with technical subject matter expertise to not only meet but exceed client expectations.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Columbia, MD, US

Year founded

2016

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