Finch AI is a fast-growing software development organization focused on innovative ways to interact ... Responsibilities : • Implement and maintain RAG pipelines, including document processing ...
Finch AI is a fast-growing software development organization focused on innovative ways to interact ... Responsibilities : • Implement and maintain RAG pipelines, including document processing ...
... RAG) and hands-on experience developing (Gen)AI-enhanced applications or services. We also expect candidates to have familiarity with database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB) and ...
... RAG) and hands-on experience developing (Gen)AI-enhanced applications or services. We also expect candidates to have familiarity with database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB) and ...
AI/ML Engineer Clearance: Must hold an existing active TS/SCI with required polygraph (US ... Implement and maintain RAG pipelines, including document processing, embedding generation ...
AI/ML Engineer Clearance: Must hold an existing active TS/SCI with required polygraph (US ... Implement and maintain RAG pipelines, including document processing, embedding generation ...
AI/ML Engineer
Reston, VA · On-site
AI/ML Engineer (Python, AWS, GenAI) Location: Reston, VA (In-person interviews required) Candidate ... Architect and operationalize RAG pipelines , embeddings, vector databases, and LLM-powered ...
Quick apply
AI/ML Engineer
Reston, VA · On-site
AI/ML Engineer (Python, AWS, GenAI) Location: Reston, VA (In-person interviews required) Candidate ... Architect and operationalize RAG pipelines , embeddings, vector databases, and LLM-powered ...
... RAG) and hands-on experience developing (Gen)AI-enhanced applications or services. We also expect candidates to have familiarity with database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB) and ...
... RAG) and hands-on experience developing (Gen)AI-enhanced applications or services. We also expect candidates to have familiarity with database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB) and ...
AI Developer
Mclean, VA · On-site
$140K - $190K/yr
Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi-agent workflows, RAG pipelines, and specialized AI microservices. * Implement reusable AI components ...
AI Developer
Mclean, VA · On-site
$140K - $190K/yr
Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi-agent workflows, RAG pipelines, and specialized AI microservices. * Implement reusable AI components ...
Must have experience designing and deploying LLM-based systems, including RAG, tool-calling, and multi-agent patterns, as well as a strong understanding of modern AI architectures such as embeddings ...
Must have experience designing and deploying LLM-based systems, including RAG, tool-calling, and multi-agent patterns, as well as a strong understanding of modern AI architectures such as embeddings ...
AI Developer
Mclean, VA · On-site
$140K - $190K/yr
Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi-agent workflows, RAG pipelines, and specialized AI microservices. * Implement reusable AI components ...
AI Developer
Mclean, VA · On-site
$140K - $190K/yr
Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi-agent workflows, RAG pipelines, and specialized AI microservices. * Implement reusable AI components ...
AI/ML Engineer
Mclean, VA · On-site
Closure Technologies is seeking a AI/ML Engineer who will Implement and maintain Retrieval ... Implement and maintain RAG pipelines, including document processing, embedding generation ...
Quick apply
AI/ML Engineer
Mclean, VA · On-site
Closure Technologies is seeking a AI/ML Engineer who will Implement and maintain Retrieval ... Implement and maintain RAG pipelines, including document processing, embedding generation ...
... RAG) and hands-on experience developing (Gen)AI-enhanced applications or services. We also expect candidates to have familiarity with database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB) and ...
... RAG) and hands-on experience developing (Gen)AI-enhanced applications or services. We also expect candidates to have familiarity with database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB) and ...
AI Engineer
Fort George G Meade, MD · On-site
Hoplite Solutions is seeking a motivated AI Engineer with a proven track record in software ... Design and implement database solutions to support RAG architectures, artifact storage, audit ...
AI Engineer
Fort George G Meade, MD · On-site
Hoplite Solutions is seeking a motivated AI Engineer with a proven track record in software ... Design and implement database solutions to support RAG architectures, artifact storage, audit ...
... RAG) and hands-on experience developing (Gen)AI-enhanced applications or services. We also expect candidates to have familiarity with database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB) and ...
... RAG) and hands-on experience developing (Gen)AI-enhanced applications or services. We also expect candidates to have familiarity with database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB) and ...
Develop scalable Retrieval-Augmented Generation (RAG) architectures that improve response quality ... Support deployment of scalable and secure AI services using containers, serverless, and modern ...
Develop scalable Retrieval-Augmented Generation (RAG) architectures that improve response quality ... Support deployment of scalable and secure AI services using containers, serverless, and modern ...
AI Developer
$140K - $190K/yr
Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi-agent workflows, RAG pipelines, and specialized AI microservices. * Implement reusable AI components ...
AI Developer
$140K - $190K/yr
Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi-agent workflows, RAG pipelines, and specialized AI microservices. * Implement reusable AI components ...
AI Engineer
$75K - $190K/yr
Develop scalable Retrieval-Augmented Generation (RAG) architectures that improve response quality ... Support deployment of scalable and secure AI services using containers, serverless, and modern ...
AI Engineer
$75K - $190K/yr
Develop scalable Retrieval-Augmented Generation (RAG) architectures that improve response quality ... Support deployment of scalable and secure AI services using containers, serverless, and modern ...
AI/ML Software Engineer
Annapolis, MD · Hybrid
The ideal candidate will possess strong expertise in Python development , LLM integration , retrieval-augmented generation (RAG) , chatbot development , workflow automation , and AI model deployment ...
Quick apply
AI/ML Software Engineer
Annapolis, MD · Hybrid
The ideal candidate will possess strong expertise in Python development , LLM integration , retrieval-augmented generation (RAG) , chatbot development , workflow automation , and AI model deployment ...
AI Engineer
Reston, VA · On-site
$75K - $190K/yr
Develop scalable Retrieval-Augmented Generation (RAG) architectures that improve response quality ... Support deployment of scalable and secure AI services using containers, serverless, and modern ...
AI Engineer
Reston, VA · On-site
$75K - $190K/yr
Develop scalable Retrieval-Augmented Generation (RAG) architectures that improve response quality ... Support deployment of scalable and secure AI services using containers, serverless, and modern ...
AI/ML Engineer
Mclean, VA · On-site
Closure Technologies is seeking an AI/ML Engineer who will implement and maintain Retrieval ... Responsibilities : • Implement and maintain RAG pipelines, including document processing ...
AI/ML Engineer
Mclean, VA · On-site
Closure Technologies is seeking an AI/ML Engineer who will implement and maintain Retrieval ... Responsibilities : • Implement and maintain RAG pipelines, including document processing ...
Al/ML Engineer Technical Lead - TS/SCI w Poly
$101K - $133K/yr
Experience with Large Language Models (LLMs), Generative AI, RAG architectures, and vector databases * Familiarity with AI governance, explainable AI (XAI), and responsible AI practices * Experience ...
Al/ML Engineer Technical Lead - TS/SCI w Poly
$101K - $133K/yr
Experience with Large Language Models (LLMs), Generative AI, RAG architectures, and vector databases * Familiarity with AI governance, explainable AI (XAI), and responsible AI practices * Experience ...
Software Engineer (AI Infrastructure)
Columbia, MD · On-site
$114K - $171K/yr
Support the development and maintenance of production AI services and applications, including retrieval augmented generation (RAG), autonomous agents, and emerging technologies * Navigate ambiguity ...
Quick apply
Software Engineer (AI Infrastructure)
Columbia, MD · On-site
$114K - $171K/yr
Support the development and maintenance of production AI services and applications, including retrieval augmented generation (RAG), autonomous agents, and emerging technologies * Navigate ambiguity ...
Ai Rag information
See Washington, DC salary details
$36.2K - $41.5K
5% of jobs
$41.5K - $46.8K
5% of jobs
$46.8K - $52.2K
6% of jobs
$55.3K is the 25th percentile. Wages below this are outliers.
$52.2K - $57.5K
14% of jobs
$57.5K - $62.8K
11% of jobs
The median wage is $65K / yr.
$62.8K - $68.1K
21% of jobs
$72.7K is the 75th percentile. Wages above this are outliers.
$68.1K - $73.4K
15% of jobs
$73.4K - $78.7K
11% of jobs
$78.7K - $84K
4% of jobs
$84K - $89.3K
5% of jobs
$89.3K - $94.6K
3% of jobs
$36.2K
$66K
$94.6K
How much do ai rag jobs pay per year?
As of Aug 6, 2026, the average yearly pay for ai rag in Washington, DC is $65,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,500.00 and $73,600.00 per year, depending on experience, location, and employer.
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?
| Aspect | Ai Rag | Data Analyst |
|---|---|---|
| Required Credentials | Typically a diploma or certification in AI, machine learning, or related fields | Bachelor's degree in statistics, mathematics, or related fields |
| Work Environment | Tech companies, AI startups, research labs | Business, finance, healthcare, and various industries |
| Employer & Industry Usage | Primarily in AI development and research | Across industries for data interpretation and decision-making |
| Common Search & Comparison | Yes | Yes |
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 are popular job titles related to Ai Rag jobs in Washington, DC? For Ai Rag jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Washington, DC look for? The top searched job categories for Ai Rag jobs in Washington, DC are:
Full-time
Posted 29 days ago
Job description
Job Summary:
Finch AI is a fast-growing software development organization focused on innovative ways to interact with information. They are seeking an AI/ML Engineer to implement advanced AI/ML solutions, maintain data pipelines, and integrate machine learning models into applications.
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:
• 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.
• Active/current TS/SCI with required polygraph (US citizenship required)
• Willingness to work onsite full time.
• 8 years of experience with a Bachelor’s degree; or 7 years of experience with a Masters degree; or 6 years of experience with a Doctorate
Preferred:
• 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.
Company:
At Finch AI, we think like analysts. So we build tools that accelerate their workflows, that never get tired, and that dramatically improve outcomes. Founded in 2014, the company is headquartered in Herndon, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Finch AI is a fast-growing software development organization focused on innovative ways to interact with information. They are seeking an AI/ML Engineer to implement advanced AI/ML solutions, maintain data pipelines, and integrate machine learning models into applications.
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:
• 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.
• Active/current TS/SCI with required polygraph (US citizenship required)
• Willingness to work onsite full time.
• 8 years of experience with a Bachelor’s degree; or 7 years of experience with a Masters degree; or 6 years of experience with a Doctorate
Preferred:
• 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.
Company:
At Finch AI, we think like analysts. So we build tools that accelerate their workflows, that never get tired, and that dramatically improve outcomes. Founded in 2014, the company is headquartered in Herndon, USA, with a team of 51-200 employees. The company is currently Growth Stage.