ZipRecruiter

Log In

2

Entry Level Retrieval Augmented Generation Jobs in Virginia

GeoYeti

AI/ML Engineer

Mclean, VA · On-site

$185K - $225K/yr

Experience developing AI/ML applications focused on Retrieval-Augmented Generation (RAG), semantic retrieval, LLM integration, or related AI workflows. * Strong proficiency in Python and modern AI/ML ...

Bridge Core (BCore)

AI/ML Engineer

Mclean, VA · On-site

$185K - $225K/yr

Experience developing AI/ML applications focused on Retrieval-Augmented Generation (RAG), semantic retrieval, LLM integration, or related AI workflows. * Strong proficiency in Python and modern AI/ML ...

GeoYeti

AI/ML Engineer

Mclean, VA

$185K - $225K/yr

Experience developing AI/ML applications focused on Retrieval-Augmented Generation (RAG), semantic retrieval, LLM integration, or related AI workflows. * Strong proficiency in Python and modern AI/ML ...

Bridge Core (BCore)

AI/ML Engineer

Mclean, VA

$185K - $225K/yr

Experience developing AI/ML applications focused on Retrieval-Augmented Generation (RAG), semantic retrieval, LLM integration, or related AI workflows. * Strong proficiency in Python and modern AI/ML ...

Bridge Core (BCore)

AI/ML Engineer

Mclean, VA

$185K - $225K/yr

Experience developing AI/ML applications focused on Retrieval-Augmented Generation (RAG), semantic retrieval, LLM integration, or related AI workflows. * Strong proficiency in Python and modern AI/ML ...

Booz Allen Hamilton

AI Engineer

Reston, VA · On-site

... Retrieval-Augmented Generation (RAG) pipelines • Ability to translate early-stage prototypes into robust, scalable production systems • Ability to take ownership of system performance ...

ECHELON SERVICES LLC

AI Engineer

Herndon, VA

Experience with Retrieval-Augmented Generation * Knowledge of AI operations and MLOps practices for deploying and maintaining machine learning models. * Familiarity with secure coding principles and ...

SES

Python/GenAI Developer

Herndon, VA · On-site

$51.75 - $71.25/hr

Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG). Exposure to data visualization tools (e.g., Power BI, Tableau). Understanding of MLOps practices ...

Appian Corporation

AI Security Engineer

Mclean, VA · On-site

Design, optimize, and maintain production-grade Retrieval-Augmented Generation (RAG) workflows to inject real-time security context, network topology, and historical incident logs into agent prompts.

Seekr

Senior AI Solutions Engineer

Reston, VA

$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 ...

next page

Showing results 1-20

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

Entry Level Retrieval Augmented Generation information

What are entry level retrieval augmented generation jobs?

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, and why are they important?

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 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 some common challenges faced by entry-level professionals working in Retrieval Augmented Generation (RAG) 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 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

AI/ML Engineer

GeoYeti

Mclean, VA • On-site

$185K - $225K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

Overview
AI/ML Engineer
McLean, VA
TS/SCI with Poly
At Bcore, our strength comes from how we deliver impact to the mission. Whether it's architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational support.Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions.
Do you want to join a team that is building tailored technical solutions to modernize our government's mission and our client's business? Do you have a desire to change how people work? Are you interested in helping to protect our nation's cyber interests? Join our growing team supporting customer missions as a AI/ML Engineer in McLean, Virginia.
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 Qualifications:
  • Demonstrated ability to conduct independent technical research, evaluate emerging AI/ML approaches, and apply advanced analytical problem-solving comparable to PhD-level research environments.
  • Ability to rapidly learn and apply new AI/ML methodologies, tools, and frameworks in support of evolving mission requirements.
  • Experience developing AI/ML applications focused on Retrieval-Augmented Generation (RAG), semantic retrieval, LLM integration, or related AI workflows.
  • Strong proficiency in Python and modern AI/ML libraries, frameworks, and API integrations.

Desired Qualifications
  • Advanced research experience in machine learning, deep learning, natural language processing, generative AI, reinforcement learning, computer vision, or related disciplines.
  • Experience publishing research, contributing to open-source AI/ML initiatives, or leading experimental and prototype development efforts.
  • Familiarity with model evaluation frameworks, fine-tuning workflows, inference optimization, and AI observability/monitoring tools.
  • Experience with vector databases, AWS/cloud environments, Docker, and containerized AI/ML development workflows.
  • Experience designing and integrating REST APIs and scalable data architectures.

What you can expect from us
  • The expected salary range within the Washington, DC metropolitan area is: $185,000 - 225,000. Final compensation is unique to each individual and will be determined based on factors such as experience, education, geographic location, and contractual requirements. This is not a guarantee.
  • Benefits include Health/Dental/Vision, 401(k), Paid Time Off, STD/LTD/Life Insurance/Voluntary Life Insurance, Stipends, Referral Bonuses, and more.

BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

Apply