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Retrieval Augmented Generation Jobs in Virginia (NOW HIRING)

Vantor

AI/ML Engineer

Mclean, VA · On-site

... on Retrieval-Augmented Generation (RAG) or similar retrieval-based workflows. • Proficiency with Python and common data/AI libraries. • Experience designing and using REST APIs to retrieve ...

B4Corp

811984 Software Engineer $260,000.00

Mclean, VA · On-site

... Retrieval-Augmented Generation (RAG) pipelines. Qualifications : Required : • Position Requires a Top Secret (TS/SCI) Clearance with a Polygraph. • Candidate must have hands-on experience with ...

AT&T

Lead Software Engineering

Chantilly, VA · Hybrid

$180K - $215K/yr

Utilize Java Full Stack and Large Language Model experience to include Retrieval Augmented Generation and other Machine Learning automation. Work with large scale enterprise applications where ...

Ignite IT

Jr. AI Prompt Engineer

Ashburn, VA · On-site +1

Identify opportunities for advanced AI capabilities, automation, Retrieval-Augmented Generation (RAG), and agentic AI solutions and coordinate with technical teams as needed. Requirements * U.S.

Ignite IT

Jr. AI Prompt Engineer

Ashburn, VA

Identify opportunities for advanced AI capabilities, automation, Retrieval-Augmented Generation (RAG), and agentic AI solutions and coordinate with technical teams as needed. Requirements * U.S.

SES

Gen AI/Python Developer

Reston, VA · On-site

$52.25 - $72/hr

Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG). Exposure to data visualization tools (e.g., Power BI, Tableau). Bachelor s degree in Computer ...

SES

Python/Gen AI Developer

Reston, VA · On-site

$52.25 - $72/hr

Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG). Exposure to data visualization tools (e.g., Power BI, Tableau). Bachelor s degree in Computer ...

AT and T

Lead Software Engineering

Chantilly, VA · On-site

$180K - $215K/yr

Utilize Java Full Stack and Large Language Model experience to include Retrieval Augmented Generation and other Machine Learning automation. Work with large scale enterprise applications where ...

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Retrieval Augmented Generation information

What are the typical daily responsibilities of a Retrieval Augmented Generation engineer?

A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.

What is a Retrieval Augmented Generation job?

A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.

What are the key skills and qualifications needed to thrive in the Retrieval Augmented Generation position, and why are they important?

To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Virginia? The most popular types of Retrieval Augmented Generation jobs in Virginia are:
What are popular job titles related to Retrieval Augmented Generation jobs in Virginia? For Retrieval Augmented Generation jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Retrieval Augmented Generation jobs in Virginia look for? The top searched job categories for Retrieval Augmented Generation jobs in Virginia are:
What cities in Virginia are hiring for Retrieval Augmented Generation jobs? Cities in Virginia with the most Retrieval Augmented Generation job openings:
Retrieval Augmented Generation jobs near you
Infographic showing various Retrieval Augmented Generation job openings in Virginia as of June 2026, with employment types broken down into 36% Full Time, 56% Part Time, and 8% Contract. Highlights an 71% Physical, 2% Hybrid, and 27% Remote job distribution.

AI/ML Engineer

Vantor

Mclean, VA • On-site

Full-time

Posted 16 days ago

Job description

Job Summary:
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. The AI/ML Engineer will implement and maintain RAG pipelines, integrate LLMs into applications, and develop REST API interactions to support data retrieval and system integration.
Responsibilities:
• Implement and maintain RAG pipelines, including document processing, embedding generation, retrieval configuration, and prompt assembly.
• Integrate LLMs into applications using available APIs and frameworks.
• Develop and maintain REST API interactions to support data retrieval and system integration.
• Design or refine Postgres schemas to improve data organization and query performance.
Qualifications:
Required:
• U.S. Citizenship required.
• Active/current TS/SCI with required polygraph.
• Bachelor's degree in computer science or related area of study.
• Senior Labor Category: Minimum 8 years of experience with a Bachelor’s degree; or 7 years of experience with a Master’s degree; or 6 years of experience with a Doctorate.
• Willingness to work onsite full time.
• Experience developing AI/ML applications with a focus on Retrieval-Augmented Generation (RAG) or similar retrieval-based workflows.
• Proficiency with Python and common data/AI libraries.
• Experience designing and using REST APIs to retrieve, process or integrate data.
• Familiarity with LLMs and integrating them into applications.
Preferred:
• Experience working with Docker Containers for development.
• Experience with vector databases, data transformation, AWS, and containerized development environments.
Company:
A spatial intelligence firm. Founded in 2025, the company is headquartered in Denver, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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