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Ai Rag Jobs in Virginia (NOW HIRING)

Agentic AI Developer

Chantilly, VA · On-site

$69K - $125K/yr

... RAG) architectures. • Integrate AI agents with APIs, databases, enterprise systems, and external services. • Build conversational and human-in-the-loop interfaces for AI systems. • Develop ...

Agentic AI Developer

Chantilly, VA · On-site

$69K - $125K/yr

Develop AI-enabled applications using large language models and retrieval-augmented generation (RAG) architectures. Integrate AI agents with APIs, databases, enterprise systems, and external services.

Senior AI/ML Engineer

Herndon, VA · On-site +1

$107K - $147K/yr

Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering, model fne-tuning) * Hands-on exp with OCR, ICR and OMR technologies is a must * Good programming ...

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering, model fne-tuning) * Hands-on exp with OCR, ICR and OMR technologies is a must * Good programming ...

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 ...

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering, model fne-tuning) * Hands-on exp with OCR, ICR and OMR technologies is a must * Good programming ...

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 ...

AI/ML Engineer Location: Reston VA Core Responsibilities (AI/ML, Python, AWS, GenAI) Design and ... Architect and operationalize RAG pipelines, embeddings, vector databases, and LLM‑powered ...

The role will establish enterprise capabilities for secure frontier model access, RAG-enabled knowledge systems, and governed AI APIs available across the organization. The position will also enable ...

AI/ML Engineer Location: Reston VA Core Responsibilities (AI/ML, Python, AWS, GenAI) Design and ... Architect and operationalize RAG pipelines, embeddings, vector databases, and LLM-powered ...

Showing results 41-60

Ai Rag information

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
What job categories do people searching Ai Rag jobs in Virginia look for? The top searched job categories for Ai Rag jobs in Virginia are:
What cities in Virginia are hiring for Ai Rag jobs? Cities in Virginia with the most Ai Rag job openings:
Infographic showing various Ai Rag job openings in Virginia as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Agentic AI Developer

Leidos

Chantilly, VA • On-site

$69K - $125K/yr

Full-time

Re-posted 17 days ago


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 151 frontline employees who took The Breakroom Quiz

75th of 481 rated business services


Job description

Agentic AI Developer
Who We Are:
Kudu Dynamics is Leidos Owned Company, forged out of a decade of experience in computer network operations and staffed with talent who have built, overseen, and enhanced capabilities throughout the entire USG arsenal. Our team of hackers and engineers have experience spanning centuries of research, development, and operations missions - across desktop, mobile, IoT, and embedded platforms. Kudu Dynamics, a Leidos company is uniquely qualified to anticipate tomorrow's threats and build the next generation of capabilities.
Position Overview:
We are seeking a highly motivated and innovative Agentic AI Developer to design, develop, and
deploy autonomous AI systems capable of reasoning, planning, and executing complex tasks
with minimal human intervention. This role focuses on building intelligent AI agents and
multi-agent systems that integrate with enterprise tools, APIs, and data sources to solve
real-world operational challenges.
The ideal candidate has hands-on experience developing AI-powered applications using
modern LLM frameworks, containerized environments, and cloud-native development practices.
Key Responsibilities:
• Design and develop autonomous AI agents capable of reasoning, planning, and
executing tasks independently.
• Build and orchestrate multi-agent workflows using modern AI frameworks and tooling.
• Develop AI-enabled applications using large language models and retrieval-augmented
generation (RAG) architectures.
• Integrate AI agents with APIs, databases, enterprise systems, and external services.
• Build conversational and human-in-the-loop interfaces for AI systems.
• Develop observability, tracing, and evaluation pipelines for AI workflows and agent
performance.
• Containerize and deploy AI applications using Docker-based infrastructure.
• Collaborate with software engineers, cybersecurity teams, researchers, and
stakeholders to deliver scalable AI capabilities.
• Maintain CI/CD pipelines and source control workflows using GitLab.
• Optimize prompts, memory systems, context handling, and agent decision-making.
• Research and prototype emerging agentic AI techniques and frameworks.
Required Qualifications:
• Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or
related field (or equivalent experience).
• 3+ years of software development experience.
• Strong Python development experience.
• Experience developing applications with large language models (LLMs).
• Experience building AI applications using LangChain.
• Experience with AI observability and tracing tools such as Langfuse.
• Experience developing conversational AI interfaces using Chainlit.
• Experience with containerization technologies such as Docker.
• Experience managing repositories and CI/CD workflows using GitLab.
• Familiarity with REST APIs, vector databases, and modern backend architectures.
• Strong understanding of prompt engineering, RAG pipelines, and agent orchestration
concepts.
• Strong communication and problem-solving skills
Preferred Qualifications:
• Experience designing multi-agent systems and autonomous workflows.
• Familiarity with vector databases and embedding technologies.
• Experience deploying AI services in cloud or hybrid environments.
• Knowledge of AI safety, governance, and observability best practices.
• Experience working in cybersecurity, defense, research, or mission-focused
environments.
• Active security clearance or eligibility to obtain one (if applicable)
Technical Stack:
• Python
• LangChain
• Langfuse
• Chainlit
• Docker
• GitLab
• LLM APIs and AI model providers
• REST APIs and microservices
• Vector databases and RAG architectures
Desired Traits:
• Passion for emerging AI technologies and autonomous systems.
• Ability to thrive in fast-paced, highly technical environments.
• Strong ownership mentality and willingness to prototype rapidly.
• Collaborative mindset with strong communication skills.
• Curious, adaptable, and mission-oriented
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
May 22, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $69,550.00 - $125,725.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

What Leidos employees say

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Benefits

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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