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Ai Rag Jobs in Silver Spring, MD (NOW HIRING)

SAIC

Data Scientist Chief

Chantilly, VA · On-site

Architects SOAR™ solutions incorporating AI/ML, Agentic AI, RAG pipelines, Knowledge Graphs, and Data Fabric capabilities - ensuring alignment with IC technical standards and security requirements

L3HHCM20

Artificial Intelligence Specialist

Chantilly, VA · On-site +1

$109K - $203K/yr

RAG patterns and agentic frameworks (LangGraph); Python web/API development (FastAPI, Flask, Django) Local AI model stacks (vLLM, LiteLLM, Ollama); reverse proxies (Caddy, Nginx, Traefik); vector ...

Interon IT Solutions

AI/ML Engineer

Reston, VA · On-site

AI/ML Engineer (Python, AWS, GenAI) Location: Reston, VA (In-person interviews required) Candidate ... Architect and operationalize RAG pipelines , embeddings, vector databases, and LLM-powered ...

Accenture Federal Services

AI Architect

Chantilly, VA · On-site

Must have experience designing and deploying LLM-based systems, including RAG, tool-calling, and multi-agent patterns, as well as a strong understanding of modern AI architectures such as embeddings ...

Closure Technologies

AI/ML Engineer

Mclean, VA

Closure Technologies is seeking a AI/ML Engineer who will Implement and maintain Retrieval ... Implement and maintain RAG pipelines, including document processing, embedding generation ...

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Ai Rag information

See Silver Spring, MD salary details

$33.1K

$60.2K

$86.3K

How much do ai rag jobs pay per year?

As of Jun 21, 2026, the average yearly pay for ai rag in Silver Spring, MD is $60,213.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,700.00 and $67,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Researcher, and why are they important?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What are AI RAGs?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are some common challenges faced by AI RAG (Retrieval-Augmented Generation) engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
What job categories do people searching Ai Rag jobs in Silver Spring, MD look for? The top searched job categories for Ai Rag jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Ai Rag jobs? Cities near Silver Spring, MD with the most Ai Rag job openings:
Ai Rag jobs near you

Senior / Lead AI Platform Engineer (Full-Stack, Cloud, RAG & LLMs)

CloudQuest Solutions Inc

Ashburn, VA • On-site

Full-time

Posted 9 days ago

Job description

Job Description
We're seeking a versatile Senior/Lead AI Engineer to architect and build secure, scalable AI solutions across the full stack. You'll work on LLM integration, RAG pipelines, backend services, frontend UI, Azure cloud infrastructure, DevOps, and security. This role is ideal for a strong generalist with deep experience in modern AI frameworks and cloud-native development.
Requirements
Responsibilities
  • Integrate and optimize LLMs (Azure OpenAI, Claude, Gemini) and build orchestration, prompts, and guardrails
  • Build RAG pipelines (LlamaIndex/Haystack/LangChain), vector search, and document ingestion workflows
  • Develop backend APIs/microservices (Python/Node.js) with secure auth (OAuth/OIDC, Entra ID)
  • Build and enhance chat-based UIs/admin dashboards (React/Next.js)
  • Deploy cloud-native services to Azure; implement IaC, CI/CD, monitoring, and logging
  • Ensure data protection, RBAC, encryption, and secure development practices
Required Qualifications
  • 7+ years software engineering experience
  • Strong Python or Node.js skills
  • Hands-on LLM and RAG experience
  • Familiarity with Azure cloud services
  • Strong understanding of OAuth/OIDC and identity systems
  • Experience with React or similar UI frameworks
  • DevOps and CI/CD experience
  • Strong system design and problem-solving skills
Preferred
  • Experience with LlamaIndex, Haystack, LangChain
  • Vector search systems (pgvector, Pinecone, Qdrant, Azure Cognitive Search)
  • Kubernetes/container orchestration
  • Security, governance, and compliance experience
Why Join Us
Work with cutting-edge AI technologies, shape architecture decisions, own features end-to-end, and help build next-generation AI capabilities in a high-impact role.

Apply