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Entry Level Retrieval Augmented Generation Jobs in Virginia

Altagrove LLC

Data Science

Norfolk, VA · On-site

Design and implement Large Language Model (LLM) solutions, Retrieval-Augmented Generation (RAG) architectures, vector databases, and AI-enabled knowledge management capabilities. * Develop scalable ...

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 · On-site

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, LLC

Jr. AI Prompt Engineer

Ashburn, VA · On-site

$60 - $80/hr

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

CBC

AI Agents Developer - Interns ( Part time )

Reston, VA · On-site

$20 - $26.25/hr

Work with vector databases and retrieval-augmented generation (RAG) systems * Collaborate with cross-functional teams to deploy AI solutions into production * Monitor, evaluate, and improve AI agent ...

The Josef Group

AI Infrastructure Engineer

Chantilly, VA · On-site

$110K - $144K/yr

Experience building Retrieval-Augmented Generation (RAG) pipelines and working with vector databases (pgvector, Qdrant, Weaviate). * Experience with LLM gateway tools such as LiteLLM.

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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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 September 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution.

AI Engineer in Reston VA

Hexaware Technologies, Inc

Reston, VA • On-site

Other

Re-posted 16 days ago

Job description

AI Engineer

Reston VA

Preferred qualifications:

  • Design and develop Generative AI applications using Large Language Models.
    Build Retrieval-Augmented Generation (RAG) solutions using vector databases.
    Design cloud-native AI solutions using Amazon Bedrock / Amazon SageMaker
    Develop autonomous AI agents using: LangChain, LangGraph, Amazon Bedrock Agents
    Create multi-agent workflows and orchestration frameworks.
    Integrate agents with enterprise applications and APIs.
    Build human-in-the-loop workflows for governance and validation.
    Develop prompt engineering frameworks and AI agents.
    Fine-tune and customize foundation models based on business requirements.
    Implement guardrails, governance, and responsible AI practices.
    Deploy AI models using CI/CD pipelines and MLOps frameworks.
    Ensure compliance with AI governance, data privacy, and security standards.

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