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Entry Level Retrieval Augmented Generation Jobs in Washington, DC

micro1 AI

Software AI Engineer

Gaithersburg, MD · On-site

This is a unique opportunity to leverage large language models and Retrieval-Augmented Generation (RAG) while working with frontier AI platforms and secure cloud solutions. Help shape the next era of ...

New

micro1 AI

Software AI Engineer

Silver Spring, MD · On-site

This is a unique opportunity to leverage large language models and Retrieval-Augmented Generation (RAG) while working with frontier AI platforms and secure cloud solutions. Help shape the next era of ...

New

micro1 AI

Software AI Engineer

Ashburn, VA · On-site

This is a unique opportunity to leverage large language models and Retrieval-Augmented Generation (RAG) while working with frontier AI platforms and secure cloud solutions. Help shape the next era of ...

New

micro1 AI

Software AI Engineer

Fairfax, VA · On-site

This is a unique opportunity to leverage large language models and Retrieval-Augmented Generation (RAG) while working with frontier AI platforms and secure cloud solutions. Help shape the next era of ...

New

micro1 AI

Software AI Engineer

Alexandria, VA · On-site

This is a unique opportunity to leverage large language models and Retrieval-Augmented Generation (RAG) while working with frontier AI platforms and secure cloud solutions. Help shape the next era of ...

New

micro1 AI

Software AI Engineer

Rockville, MD · On-site

This is a unique opportunity to leverage large language models and Retrieval-Augmented Generation (RAG) while working with frontier AI platforms and secure cloud solutions. Help shape the next era of ...

New

micro1 AI

Software AI Engineer

Arlington, VA · On-site

This is a unique opportunity to leverage large language models and Retrieval-Augmented Generation (RAG) while working with frontier AI platforms and secure cloud solutions. Help shape the next era of ...

New

micro1 AI

Software AI Engineer

Herndon, VA · On-site

This is a unique opportunity to leverage large language models and Retrieval-Augmented Generation (RAG) while working with frontier AI platforms and secure cloud solutions. Help shape the next era of ...

New

micro1 AI

Software AI Engineer

Sterling, VA · On-site

This is a unique opportunity to leverage large language models and Retrieval-Augmented Generation (RAG) while working with frontier AI platforms and secure cloud solutions. Help shape the next era of ...

New

System One

AI/ML Engineer

Mclean, VA · Remote

This position will focus on Retrieval-Augmented Generation, conversational AI, agentic workflows, traditional machine learning, natural language processing, graph analytics, and entity resolution.

micro1 AI

Software AI Engineer

Mclean, VA · On-site

This is a unique opportunity to leverage large language models and Retrieval-Augmented Generation (RAG) while working with frontier AI platforms and secure cloud solutions. Help shape the next era of ...

New

micro1 AI

Software AI Engineer

Reston, VA · On-site

This is a unique opportunity to leverage large language models and Retrieval-Augmented Generation (RAG) while working with frontier AI platforms and secure cloud solutions. Help shape the next era of ...

New

System One

AI/ML Engineer

Mclean, VA · Remote

This position will focus on Retrieval-Augmented Generation, conversational AI, agentic workflows, traditional machine learning, natural language processing, graph analytics, and entity resolution.

System One

AI/ML Engineer

Mclean, VA · Remote

This position will focus on Retrieval-Augmented Generation, conversational AI, agentic workflows, traditional machine learning, natural language processing, graph analytics, and entity resolution.

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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 Washington, DC?

The most popular types of Retrieval Augmented Generation jobs in Washington, DC are:

What are popular job titles related to Entry Level Retrieval Augmented Generation jobs in Washington, DC?

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

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

The top searched job categories for Entry Level Retrieval Augmented Generation jobs in Washington, DC are:

Entry Level Retrieval Augmented Generation jobs near you
Infographic showing various Entry Level Retrieval Augmented Generation job openings in Washington, DC as of August 2026, with employment types broken down into 71% Full Time, 26% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.

Software AI Engineer

micro1 AI

Gaithersburg, MD • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Description

Job Title: Software AI Engineer

Job Type: Full-time

Job Summary:

Join our customer’s team as a Software Engineer, where you will build, optimize, and integrate cutting-edge AI-powered applications. This is a unique opportunity to leverage large language models and Retrieval-Augmented Generation (RAG) while working with frontier AI platforms and secure cloud solutions. Help shape the next era of intelligent software in a collaborative, high-impact environment.

Key Responsibilities:

  • Design, implement, and maintain scalable APIs and backend systems leveraging Python and RESTful services.
  • Develop and integrate advanced LLM and RAG solutions, utilizing frameworks like LangGraph and LangChain for agentic, multi-agent orchestration.
  • Work with leading AI platforms including Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, and Grok Enterprise.
  • Deploy, monitor, and optimize solutions on secure cloud infrastructures, such as AWS GovCloud, Google GovCloud, Azure IL5+, and Vertex AI.
  • Build robust data pipelines, manage metadata catalogs, and ensure secure data handling using ETL and MCP methodologies.
  • Champion best practices in CI/CD pipelines, SDK integration, and secure coding for scalable codebases.
  • Collaborate cross-functionally, demonstrating exemplary written and verbal communication skills to document and present technical solutions.

Required Skills and Qualifications:

  • Proven experience with large language models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering.
  • Strong development skills with Python, focusing on backend API development and SDK integration.
  • Hands-on expertise with AWS, particularly AWS GovCloud and AWS Bedrock services.
  • Experience with agentic AI tools such as LangGraph, LangChain, and multi-agent orchestration systems.
  • Knowledge of cloud platforms including Google GovCloud, Azure IL5+, and Vertex AI.
  • Solid understanding of data ontologies, metadata management, and building ETL pipelines.
  • Exceptional written and verbal communication skills are a must.

Preferred Qualifications:

  • Background in secure coding practices for government or regulated environments.
  • Direct experience working with enterprise AI solutions such as OpenAI Enterprise or Anthropic for Gov.
  • Familiarity with CI/CD automation in complex, hybrid cloud environments.

Apply