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Rag Developer Jobs in Washington (NOW HIRING)

Familiarity with RAG, prompt engineering, or agentic workflows * Docker, Terraform, GitHub Actions ... Section 508 / WCAG accessibility standards * Agile methodologies Compensation Range is wide due to ...

Familiarity with RAG, prompt engineering, or agentic workflows * Docker, Terraform, GitHub Actions ... Section 508 / WCAG accessibility standards * Agile methodologies Compensation Range is wide due to ...

... RAG) - into business applications. This is an entry-level position ideal for a developer early in ... their career who is eager to grow their full stack .NET skills while gaining exposure to modern AI ...

New

Solid understanding of RAG architectures - chunking strategies, embedding models, vector stores ... Strong prompt engineering skills - system prompts, few-shot design, chain-of-thought, and iterative ...

Agentic AI Developer Who We Are: Kudu Dynamics is Leidos Owned Company, forged out of a decade of ... Develop AI-enabled applications using large language models and retrieval-augmented generation (RAG ...

Agentic AI Developer

Chantilly, VA · On-site

$69K - $125K/yr

... RAG) architectures. • Integrate AI agents with APIs, databases, enterprise systems, and external ... software engineers, cybersecurity teams, researchers, and stakeholders to deliver scalable AI ...

Agentic AI Developer Who We Are: Kudu Dynamics is Leidos Owned Company, forged out of a decade of ... Develop AI-enabled applications using large language models and retrieval-augmented generation (RAG ...

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Rag Developer information

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or engineering management can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries like technology or finance. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

What is the difference between Rag Developer vs Textile Technician?

AspectRag DeveloperTextile Technician
CredentialsTypically requires a diploma or degree in textiles or related fieldRequires similar qualifications, often with additional certifications in textile testing
Work EnvironmentFactories, textile mills, production plantsLaboratories, quality control departments, manufacturing facilities
Industry UsageUsed in textile manufacturing to develop and process rags for reuse or recyclingInvolved in testing, quality assurance, and technical support in textile production

Both Rag Developers and Textile Technicians work within the textile industry, often in manufacturing settings. Rag Developers focus on creating and processing recycled rags, while Textile Technicians handle testing and quality control. The roles share similar educational backgrounds and work environments, but their specific responsibilities differ based on their focus within textile production.

What does a RAG engineer do?

A RAG (Red, Amber, Green) engineer develops and maintains systems that use RAG status indicators to monitor project or system health. They often work with data visualization tools, automate status reporting, and analyze performance metrics to support decision-making. Strong skills in data analysis, programming, and understanding of project management are typically required.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in programming, data analysis, and experience with AI frameworks, and they may involve leadership responsibilities or specialized expertise in cutting-edge AI technologies.

Which 3 jobs will survive AI?

For a Rag Developer, roles that require complex manual craftsmanship, creative problem-solving, and specialized knowledge are more likely to persist despite AI advancements. Jobs involving intricate textile design, custom tailoring, and quality inspection rely on human skills and judgment that AI cannot fully replicate. Developing expertise in these areas, along with staying updated on industry tools, can help ensure job security.
What job categories do people searching Rag Developer jobs in Washington look for? The top searched job categories for Rag Developer jobs in Washington are:
What cities in Washington are hiring for Rag Developer jobs? Cities in Washington with the most Rag Developer job openings:
Infographic showing various Rag Developer job openings in Washington as of July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.
Senior Data Scientist II - Generative AI / RAG / Agentic AI

Senior Data Scientist II - Generative AI / RAG / Agentic AI

LexisNexis

Washington, DC • On-site

$125K - $209K/yr

Full-time

Re-posted 8 days ago


LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

162nd of 451 rated business services


Job description

Are you excited to shape the next generation of AIpowered drafting and search experiences at scale?

Do you want to work on advanced Generative AI systems that turn complex information into clear, trusted insights?
About our Team
You will join a multidisciplinary team of data scientists, engineers, and product partners focused on building intelligent, reliable, and responsible AI solutions for legal and business professionals. We work collaboratively, value thoughtful experimentation, and prioritize highquality, productionready outcomes.
About the Role
As aSenior Data Scientist II, you will design and improveGenerative AI, RetrievalAugmented Generation (RAG),andagentic RAG systemsthat power drafting, search, and reasoning use cases. You will focus on retrieval quality, evaluation, and productiongrade machine learning components, working closely with crossfunctional partners to deliver measurable improvements in relevance, accuracy, and user trust.
Responsibilities
  • Design, build, and optimizeGenerative AI, RAG, andagentic RAGsystems for drafting, search, and reasoning use cases
  • Improve LLMgenerated outputs through prompt design, retrieval optimization, evaluation, and experimentation
  • Develop and maintain scalable data science and machine learning components for production environments
  • Build and enhance retrieval pipelines, including query processing, document retrieval, ranking, reranking, and grounding strategies
  • Apply text search and relevance tuning techniques using platforms such as OpenSearch and Solr
  • Use embeddings, hybrid retrieval, semantic search, and reranking methods to improve answer quality and system performance
  • Write highquality, maintainable, productionready Python code following strong software engineering practices
  • Collaborate closely with partners across data science, engineering, product, and domain teams
Requirements
  • Proven experience building and improvingGenerative AIandLLMbasedsolutions in production or nearproduction settings
  • Strong experience withRAG frameworks, retrievalbased AI architectures, andagentic workflows
  • Advanced Pythonskills, including modular design, testing, debugging, and clean coding practices
  • Strong understanding of information retrieval, text search methods, and retrieval architectures
  • Handson experience withOpenSearch, Solr,or similar search platforms
  • Experience withembeddings, semantic retrieval, reranking, and relevance optimization
  • Proven ability to work effectively in a monorepo environment with disciplined version control and code review practices
  • Experience collaborating in crossfunctional teams and contributing to CI/CD and deployment workflows
Work in a Way That Works for You
We promote flexible ways of working that support collaboration, focus, and personal wellbeing, while meeting the needs of our teams and customers.
Working Pattern
This role supports flexible working arrangements, balancing individual productivity with team collaboration.
About the Business
You will be part of the LNLP division, within the Standard business unit, delivering trusted information and technology solutions that help professionals make confident decisions.
#AIFluent
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $110,100 - $183,500.If performed in New York, the base pay range is $115,400 - $192,200.If performed in New York City, the base pay range is $125,900 - $209,700.If performed in Rochester, NY, the base pay range is $104,900 - $174,700.If performed in New Jersey, the base pay range is $123,816 - $197,784. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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