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Entry Level Retrieval Augmented Generation Jobs in Virginia

Seekr

Senior AI Solutions Engineer

Reston, VA · On-site

$57.50 - $74/hr

Familiarity with Databases and Retrieval Augmented Generation (RAG) technologies such as Pinecone, FAISS, OpenSearch, and Neo4j * Familiar with Offensive or Defensive cybersecurity principles ...

Seekr

Senior Data Scientist

Reston, VA · On-site

Familiarity with Databases and Retrieval Augmented Generation (RAG) technologies such as Pinecone, FAISS, OpenSearch, and Neo4j * Experience with interactive machine learning (eg. active learning ...

Tata Consultancy Service Limited

Engineer

Mclean, VA · On-site

$100K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Retrieval-Augmented Generation (RAG) using vector databases (Pinecone, FAISS, Chroma DB, Azure AI Search) to enable enterprise-grade QA and summarization systems. • Integrate GenAI models into ...

CYNET SYSTEMS

Senior Agentic AI Engineer

Reston, VA · On-site

$59 - $77/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Retrieval-Augmented Generation (RAG). * Microsoft Azure. * Azure AI Search. * React. * TypeScript. * Node.js. * Microsoft Agent Framework. * Azure AI Foundry. * OpenTelemetry. * Docker. * Kubernetes.

CYNET SYSTEMS

Senior Agentic AI Engineer

Reston, VA · On-site

$59.35 - $77.03/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Retrieval-Augmented Generation (RAG). Microsoft Azure. Azure AI Search. React. TypeScript. Node.js. Microsoft Agent Framework. Azure AI Foundry. OpenTelemetry. Docker. Kubernetes. CI/CD. SQL. NoSQL.

Booz Allen Hamilton, Inc.

AI Engineer

Mclean, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Experience implementing Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking, embeddings, retrieval workflows, and prompt augmentation * Experience with vector ...

Twenty Technologies, Inc

Applied AI Engineer

Arlington, VA · On-site

$159K - $263K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build retrieval-augmented generation (RAG) systems that ground model outputs in external knowledge. * Develop and optimize model serving infrastructure for production deployments. * Design evaluation ...

Holland & Knight

AI Legal Engineer

Richmond, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation ...

Booz Allen Hamilton

AI Engineer

Mclean, VA

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Experience implementing Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking, embeddings, retrieval workflows, and prompt augmentation * Experience with vector ...

Steampunk

AI Evaluation Scientist

Mclean, VA

$105K - $145K/yr

Perform structured error analysis and behavioral audits of LLMs, retrieval-augmented generation (RAG) systems, and predictive models, documenting findings and improvement recommendations.

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All JobsRetrieval Augmented Generation JobsEntry Level Retrieval Augmented Generation JobsEntry Level Retrieval Augmented Generation Jobs in Virginia

Entry Level Retrieval Augmented Generation information

What is an entry level retrieval augmented generation job?

Entry level retrieval augmented generation jobs involve assisting in the development and optimization of AI systems that combine information retrieval techniques with generative models. Employees in these roles typically help build, test, and maintain systems where AI retrieves relevant data from large databases to enhance the accuracy and relevance of generated responses. These positions often require basic skills in programming, machine learning, and familiarity with natural language processing. They are ideal for recent graduates or those new to AI, offering opportunities to learn about modern AI architectures and contribute to innovative projects. Entry level workers may work under the guidance of senior engineers or researchers, supporting experimentation and evaluation tasks.

What are the key skills and qualifications needed to thrive as an entry level retrieval augmented generation specialist?

To thrive as an Entry Level Retrieval Augmented Generation Specialist, you need a foundational understanding of natural language processing (NLP), information retrieval, and basic programming skills, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, vector databases (like FAISS or Pinecone), and frameworks for large language models (LLMs) is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate and troubleshoot solutions in team environments. These skills and qualities are crucial for building reliable RAG systems that deliver accurate and relevant information to users.

What are some common challenges faced by entry-level professionals working in retrieval augmented generation roles?

Entry-level professionals in Retrieval Augmented Generation (RAG) often encounter challenges such as understanding how to effectively combine information retrieval systems with large language models and adapting to rapidly evolving technologies. Balancing accuracy and efficiency when designing or fine-tuning retrieval pipelines can also be a learning curve. Additionally, you may need to collaborate closely with data engineers, machine learning specialists, and product teams to ensure the RAG system aligns with business requirements. Staying proactive in learning and engaging with peers can help overcome these challenges and accelerate career growth.

What is the difference between Entry Level Retrieval Augmented Generation vs Entry Level Data Scientist?

AspectEntry Level Retrieval Augmented GenerationEntry Level Data Scientist
Required CredentialsBasic programming, understanding of NLP and AI conceptsBachelor's in Data Science, Computer Science, or related field
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, consulting
Industry UsageAI development, NLP applications, chatbot creationData analysis, predictive modeling, data-driven decision making

Entry Level Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with generative AI, requiring knowledge of NLP and programming. Entry Level Data Scientist involves analyzing data, building models, and deriving insights, often with a broader data analysis skill set. While both roles require technical skills, Retrieval Augmented Generation is more specialized in AI model development, whereas Data Scientists work across various data projects.

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 Entry Level Retrieval Augmented Generation jobs in Virginia?

For Entry Level Retrieval Augmented Generation jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Entry Level Retrieval Augmented Generation jobs in Virginia look for?

The top searched job categories for Entry Level Retrieval Augmented Generation jobs in Virginia are:

What cities in Virginia are hiring for Entry Level Retrieval Augmented Generation jobs?

Cities in Virginia with the most Entry Level Retrieval Augmented Generation job openings:

Entry Level Retrieval Augmented Generation jobs near you
Infographic showing various Entry Level Retrieval Augmented Generation job openings in Virginia as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution.

Software Engineer, Applied AI - Clearance Required

BTI360

Herndon, VA • On-site

Full-time

Re-posted 23 hours ago

Job description

Job Summary:
BTI360 is a data discovery company focused on transforming proprietary data into actionable insights using AI. They are seeking Software Engineers to develop mission-critical applications, maintain data systems, and collaborate on end-to-end AI solutions.
Responsibilities:
• Work closely with teammates and stakeholders in a Lean Agile environment to build mission-critical applications focused on data discovery and analysis
• Develop and maintain context-aware data systems to provide GenAI applications with domain-specific knowledge and situational awareness
• Participate in system architecture discussions, design reviews, and code reviews to promote technical excellence
• Leverage modern build tools, testing frameworks, and CI/CD pipelines to ensure quality and delivery speed
• Ensure reliability, observability, and security in AI-driven systems
• Collaborate with cross-functional teams to deliver end-to-end AI solutions
Qualifications:
Required:
• Active Security Clearance (Secret or higher) or the ability to obtain one
• Strong software engineering skills using object-oriented principles – Python or NodeJS preferred
• Strong understanding of software testing, code quality, and deployment best practices
• Experience designing and implementing scalable and maintainable software in a cloud environment (AWS preferred) leveraging foundational services for computing, identity management, and networking
• Effective written and verbal communication skills for technical collaboration and stakeholder engagement
• Candidates must maintain a primary residence within a two‑hour drive of Herndon, VA to support onsite collaboration as needed
Preferred:
• Experience integrating GenAI and LLMs into production software applications leveraging techniques such as retrieval-augmented generation and agentic AI
• Familiarity with AI development frameworks and tooling such as LangChain
• Ability to engineer solutions that process and extract value from large-scale structured and unstructured data
• Experience with source control (e.g. Git) and CI/CD pipeline tools such as AWS CodeBuild (preferred), Jenkins, GitLab CI, or GitHub Actions
• Experience developing and deploying containerized applications with tools like Docker and Kubernetes
• Familiarity with monitoring and observability stacks such as Prometheus/Grafana (preferred), CloudWatch, or ELK/EFK
• Contributions to open-source libraries or community projects or personal projects
Company:
BTI360 develops and delivers big data software solutions to minimize the time spent on research and utilize time providing insights. Founded in 2004, the company is headquartered in Ashburn, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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