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Remote Rag Jobs in Leesburg, VA (NOW HIRING)

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)

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)

Leidos

Software Engineer

Reston, VA · On-site +1

Strong knowledge of agentic frameworks, orchestration tools, RAG, vector databases, API design, and ... Flexible to work remote with the ability to commute to the corporate office as needed Must have ...

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... OpenAI, Gemini, Claude, LangChain, LangGraph, Semantic Kernel, RAG, vector databases Preferred ...

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... OpenAI, Gemini, Claude, LangChain, LangGraph, Semantic Kernel, RAG, vector databases Preferred ...

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Remote Rag information

See Leesburg, VA salary details

$17

$21

$24

How much do remote rag jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for remote rag in Leesburg, VA is $21.75, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $23.08 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 popular job titles related to Remote Rag jobs in Leesburg, VA? For Remote Rag jobs in Leesburg, VA, the most frequently searched job titles are:
What cities near Leesburg, VA are hiring for Remote Rag jobs? Cities near Leesburg, VA with the most Remote Rag job openings:
Remote Rag jobs near you
Infographic showing various Remote Rag job openings in Leesburg, VA as of June 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $45,237 per year, or $21.7 per hour.

Gen AI / Agentic Engineer

Interon IT Solutions

Chantilly, VA • Remote

Contractor

Re-posted 21 days ago

Job description

#W2 Role

Job Title: Gen AI / Agentic Engineer

Location: Remote 
Type: W2 Contract 
Experience: 10+ years overall IT, 2+ years GenAI/LLM

Job Summary

We are looking for a GenAI / Agentic Engineer to design, build, and deploy LLM-powered applications on AWS. This role is focused on real production engineering—APIs, RAG pipelines, agent workflows, evaluation, deployment, monitoring, and performance/cost tuning.

Responsibilities

  • Build and maintain LLM-powered backend services using Python and FastAPI (chat, search, summarization, Q&A).
  • Design and implement RAG pipelines end-to-end: ingestion, parsing, chunking, embeddings, indexing, retrieval, reranking, and grounded responses.
  • Develop agentic workflows for multi-step automation (tool calling, orchestration, state/memory, retries, audit logs).
  • Deploy and support GenAI workloads on AWS using ECS/Lambda, S3, SQS, DynamoDB/RDS, OpenSearch (or vector store), and related services.
  • Implement security and governance controls: auth, authorization, secrets, encryption, PII handling, and prompt-injection defenses.
  • Build evaluation and monitoring for quality, hallucination reduction, latency, and cost (test sets, regression checks, dashboards, alerts).
  • Work across full SDLC: design docs, estimates, coding, code reviews, CI/CD, testing, release, and production support.
  • Communicate architecture decisions clearly and explain tradeoffs (accuracy vs latency vs cost) to stakeholders.

Required Skills (Point-Based)

  • 10+ years overall IT experience with backend/API engineering and cloud deployments
  • 2+ years hands-on GenAI/LLM experience delivering real features (not just demos)
  • 6+ years strong Python (core Python, clean coding, debugging, packaging)
  • Experience with asyncio and concurrency (threads/async), plus profiling and performance tuning
  • Comfortable with stateful/long-running workflows: transaction handling, retries, idempotency, and failure recovery
  • 5+ years building REST APIs / microservices, strong API design and error handling
  • 5+ years with FastAPI (or similar) including middleware, dependency injection, background tasks
  • Experience implementing auth/security using JWT/OAuth, RBAC, secure configuration, secrets handling
  • Strong testing discipline using pytest (unit/integration tests, mocks, API contract testing)
  • Proven experience building RAG systems end-to-end: chunking strategies, embeddings, retrieval tuning, reranking, grounding/citations
  • Hands-on with RAG optimization: hybrid retrieval, metadata filters, top-k tuning, chunk tuning, reranking strategies
  • Experience with agentic patterns: tool calling, orchestration, memory/state, structured outputs, audit trails
  • Experience implementing guardrails: output schema enforcement (JSON), refusal handling, safety filters, prompt-injection defenses, PII masking
  • 5+ years AWS experience using ECS/Lambda, S3, SQS, DynamoDB/RDS (and related services)
  • Strong AWS security fundamentals: IAM, KMS, Secrets Manager, CloudWatch logs/metrics/alarms
  • Experience deploying LLM workloads via Amazon Bedrock (preferred) or SageMaker
  • Strong system design: scalability, caching, rate limiting, queues, resilience/failure handling
  • Ability to clearly explain GenAI architecture decisions and tradeoffs across accuracy/latency/cost

Nice to Have

  • LangChain / LangGraph / LlamaIndex (any)
  • OpenSearch vector search or vector DB experience (Pinecone/Weaviate/FAISS, etc.)
  • Docker, Terraform/CDK, CI/CD (GitHub Actions/Jenkins)
  • Experience in regulated environments (finance/healthcare/telecom) with governance controls