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Remote Rag Jobs in Washington, DC (NOW HIRING)

System One

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LANGCHAIN AI QA ANALYST - 100% REMOTE

Washington, DC · Remote

$60 - $80/hr

Remote - offsite Hours: 40 hours a week Security Clearance: No clearance but must pass background ... Validate Retrieval-Augmented Generation (RAG) solutions utilizing Azure AI Search, Azure AI Foundry ...

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Knak Digital

Full Stack Developer

Washington, DC · Remote

This role is for a senior remote full-stack developer who is comfortable making technical decisions ... Familiarity with RAG, prompt engineering, or agentic workflows * Docker, Terraform, GitHub Actions

Global Alliant Inc

AI Engineer

Rockville, 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)

Global Alliant Inc

AI Engineer

Rockville, MD · Remote

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)

System One

AI Prompt Engineer (IRS MBI Cleared)

Greenbelt, MD · Remote

$104K - $138K/yr

Greenbelt, Maryland Type: 6 months Contract To Hire Work Model: 100% Remote (EST hours) Security ... Design and implement Retrieval-Augmented Generation (RAG) frameworks * Develop AI applications ...

Global Alliant Inc

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)

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 ...

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Remote Rag information

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How much do remote rag jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for remote rag in Washington, DC is $24.35, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $25.87 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.
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Remote Rag jobs near you

LANGCHAIN AI QA ANALYST - 100% REMOTE

System One

Washington, DC • Remote

$60 - $80/hr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Title: LangChain QA AI Engineer
Location: 100% Remote
Type: Long-Term Contract
Compensation: Negotiable, W-2 or C2C
Work Model: Remote – offsite
Hours: 40 hours a week 
Security Clearance: No clearance but must pass background check which will include credit check 


Ideal Candidate Profile
A highly technical engineer who understands both modern software engineering and AI systems. This individual can independently assess whether an AI solution is accurate, secure, explainable, compliant, observable, and ready for production. They serve as the organization's independent quality authority for AI-powered solutions and help establish confidence in enterprise AI deployments before release to production.


Responsibilities
• Establish and execute quality, validation, certification, and production readiness processes for AI-powered SDLC and enterprise automation solutions
• Develop and implement evaluation frameworks measuring accuracy, relevance, groundedness, completeness, hallucination rates, retrieval quality, recommendation quality, and user satisfaction
• Validate Retrieval-Augmented Generation (RAG) solutions utilizing Azure AI Search, Azure AI Foundry, LangChain, LangGraph, and enterprise repositories
• Perform architecture reviews and quality assessments for AI solutions deployed on Azure services such as Containers, Functions, Databricks, SQL, Cosmos DB
• Evaluate AI orchestration workflows including prompt execution, agent routing, tool calling, guardrails, retrieval pipelines, and human-in-the-loop processes
• Validate security, governance, auditability, and compliance controls, including integrations with Entra ID, RBAC, managed identities, Key Vault, and data policies
• Create production readiness checklists covering observability, monitoring, resiliency, recoverability, and operational support
• Analyze traces, logs, metrics, and telemetry data to identify quality concerns and improvement opportunities
• Collaborate with development teams for remediation of quality, security, and performance issues before deployment
• Generate certification reports, scorecards, dashboards, and executive summaries for leadership review
• Drive continuous improvements to validation methodologies, testing strategies, and evaluation frameworks
• Lead certification and production readiness reviews for internal developer portals and platform initiatives


Requirements
• Bachelor’s Degree in Computer Science, Software Engineering, Data Science, AI, or related field
• 5+ years of experience in software quality engineering, platform engineering, software development, or related roles
• 2+ years working directly with Generative AI, LLMs, RAG architectures, AI agents, or AI applications
• Strong understanding of AI evaluation methodologies including accuracy testing and hallucination detection
• Experience with Azure AI Foundry, Azure OpenAI, LangChain, LangGraph, LangSmith, or similar frameworks
• Familiarity with cloud-native architectures and Azure services (Container Apps, Functions, Databricks, SQL, Key Vault, Cosmos DB)
• Experience supporting enterprise developer platforms and self-service engineering capabilities
• Skilled in designing automated test strategies, regression testing, and certification processes
• Strong analytical, troubleshooting, and documentation skills
• Excellent stakeholder engagement and communication abilities


Preferred Qualifications
• Experience building or validating enterprise AI agents and multi-agent systems
• Knowledge of AI observability and evaluation platforms like LangSmith
• Familiarity with knowledge retrieval solutions, embeddings, and semantic search
• Background in AI governance, Responsible AI, and compliance frameworks
• Experience working in regulated industries such as healthcare, finance, or insurance
• Proficiency with Azure DevOps, GitHub, and SDLC tooling
• Knowledge of identity management concepts including Entra ID and RBAC
• Ability to produce quality scorecards, dashboards, and KPI reports



Company Description

System One is a leading provider of specialized, highly technical services and solutions to critical infrastructure, technology, life sciences, and government sectors. We partner with large private and public organizations who trust us to execute their complex, mission-critical initiatives through our outsourced services and workforce solutions.