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Ai Rag Jobs in Virginia (NOW HIRING)

Surescripts

Principal AI Engineer

Arlington, VA · On-site

Architect and build scalable, interoperable, responsible AI solutions, including generative AI, RAG, agentic AI, and predictive models, and guide their deployment into production. * Serve as a ...

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 ...

Steampunk

AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi-agent workflows, RAG pipelines, and specialized AI microservices. * Implement reusable AI components ...

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 ...

Steampunk

AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi-agent workflows, RAG pipelines, and specialized AI microservices. * Implement reusable AI components ...

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 ...

Amivero

AI Engineer

Reston, VA · On-site

Develop scalable Retrieval-Augmented Generation (RAG) architectures that improve response quality ... Support deployment of scalable and secure AI services using containers, serverless, and modern ...

Steampunk

AI Developer

Mclean, VA

$140K - $190K/yr

Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi-agent workflows, RAG pipelines, and specialized AI microservices. * Implement reusable AI components ...

Amivero

AI Engineer

Reston, VA

$75K - $190K/yr

Develop scalable Retrieval-Augmented Generation (RAG) architectures that improve response quality ... Support deployment of scalable and secure AI services using containers, serverless, and modern ...

Amivero

AI Engineer

Reston, VA · On-site

$75K - $190K/yr

Develop scalable Retrieval-Augmented Generation (RAG) architectures that improve response quality ... Support deployment of scalable and secure AI services using containers, serverless, and modern ...

Closure Technologies

AI/ML Engineer

Mclean, VA · On-site

Closure Technologies is seeking an AI/ML Engineer who will implement and maintain Retrieval ... Responsibilities : • Implement and maintain RAG pipelines, including document processing ...

Closure Technologies

AI/ML Engineer

Mclean, VA · On-site

Closure Technologies is seeking an AI/ML Engineer who will implement and maintain Retrieval ... Responsibilities : • Implement and maintain RAG pipelines, including document processing ...

Steampunk

Senior AI Developer

Mclean, VA · Hybrid

$55 - $72.75/hr

We are seeking a dynamic, forward-thinking Senior AI Software Engineer (GenAI, Agents & RAG) to assist in the design and implementation of enterprise-wide AI-powered tools, workflows, and practices ...

Merican

AWS AI Engineer

Herndon, VA · On-site

Design and optimize Retrieval-Augmented Generation (RAG) pipelines for performance and scalability * Implement AI governance frameworks, including security guardrails and cost optimization strategies

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Ai Rag information

What are the key skills and qualifications needed to thrive as an AI researcher?

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 is an AI RAG?

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 common challenges faced by AI RAG 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 are popular job titles related to Ai Rag jobs in Virginia? For Ai Rag jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Virginia look for? The top searched job categories for Ai Rag jobs in Virginia are:
What cities in Virginia are hiring for Ai Rag jobs? Cities in Virginia with the most Ai Rag job openings:
Ai Rag jobs near you
Infographic showing various Ai Rag job openings in Virginia as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Senior AI Engineer - Generative AI / RAG

Ampcus Inc

Chantilly, VA • On-site

$57 - $73.75/hr

Full-time

Re-posted 16 days ago

Job description

Job Summary:
Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are seeking a Senior AI Engineer with strong expertise in Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) to build enterprise AI knowledge platforms and intelligent search solutions.
Responsibilities:
• Design and implement RAG-based AI solutions and enterprise knowledge bases.
• Integrate LLMs (OpenAI, Claude, Llama, etc.) into business applications.
• Develop AI-powered chatbots, search, and conversational AI platforms.
• Build and optimize data ingestion, embedding, and retrieval pipelines.
• Work with vector databases such as Pinecone, FAISS, Weaviate, or ChromaDB.
• Collaborate with engineering and business teams to deploy scalable AI solutions.
• Improve AI response quality, grounding, and hallucination reduction.
Qualifications:
Required:
• 7 years of software engineering or AI/ML experience.
• Strong hands-on experience with Generative AI and RAG implementations.
• Expertise with Python and AI frameworks such as LangChain or LlamaIndex.
• Experience with LLM APIs, embeddings, semantic search, and prompt engineering.
• Knowledge of vector databases and enterprise AI architecture.
• Experience with AWS, Azure, or GCP cloud platforms.
• Familiarity with APIs, Docker, Kubernetes, and MLOps/LLMOps practices.
Preferred:
• Experience with AI agents, fine-tuning, or Graph RAG.
• Knowledge of AI governance, security, and responsible AI.
• Experience building enterprise AI assistants or knowledge management solutions.
Company:
Ampcus is a global business, technology consulting and an staff augmentation firm specializing in AI/ML,digital solutions, Cybersecurity & Risk management, Testing, Forensics & Fraud services and human capital management. Founded in 2004, the company is headquartered in Chantilly, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
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About Ampcus

Sourced by ZipRecruiter

Ampcus Inc. is a ISO 20000, ISO 27000, ISO 9001, CMMI DEV/3 SM and CMMI SVC/3 SM certified global provider of a broad range of Technology and Business consulting services. From strategy to execution, our disciplined yet flexible approach starts and ends with our clients. By listening hard and working harder, client goals become our goals. Their success is our satisfaction. It’s why our clients sleep well at night. We believe that the success of an engagement is determined by strong project management, as well as clear communication and mutual commitment working collaboratively. Our methodology begins with listening to the customer about their needs, then working with their team to gain a clear understanding of the requirements, while providing knowledge transfer of best practices for the organization.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chantilly, VA, US

Year founded

2004

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