ZipRecruiter

Log In

1

Ai Rag Jobs in Silver Spring, MD (NOW HIRING)

Ampcus Inc

Generative AI Engineer

Chantilly, VA · On-site

We are seeking a highly skilled MCP (Model Context Protocol), RAG (Retrieval-Augmented Generation), and Connectors Engineer to design, build, and optimize AI-powered solutions that integrate ...

New

Bigbear.ai

AI Application Engineer

Mclean, VA · On-site

Design, implement, and maintain LLM/RAG pipelines using LangChain (Python) or LangChain4J (Java ... Use AI-assisted development tools (e.g. Cursor) effectively: prompt well, review generated code ...

Virtual Networx

AI/ML Engineer

Mclean, VA · On-site

Python, Machine Learning, Deep Learning, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, SQL, NLP, Computer Vision, Generative AI, LLM, Prompt Engineering, RAG, Vector Databases, REST APIs ...

Interon IT Solutions

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 ...

Accenture Federal Services

AI Architect

Chantilly, VA · On-site

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 ...

Closure Technologies

AI/ML Engineer

Mclean, VA

Closure Technologies is seeking a AI/ML Engineer who will Implement and maintain Retrieval ... Implement and maintain RAG pipelines, including document processing, embedding generation ...

Steampunk

AI Developer

Mclean, VA

$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 ...

Finch AI

AI/ML Engineer - TS/SCI w/Polygraph

Mclean, VA · On-site

$180K - $250K/yr

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 ...

Atinfo Technology Inc

AI QE Architect

Bethesda, MD · On-site

Strong hands-on experience with LLMs, prompt engineering, RAG, vector DBs, and model evaluation ... Experience to agentic AI frameworks like LangGraph, AutoGen, CrewAI. * Build and enhance GenAI ...

Steampunk

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 ...

previous pagenext page

Showing results 21-40

All JobsAi Rag JobsAi Rag Jobs in Silver Spring, MD

Ai Rag information

See Silver Spring, MD salary details

$33.1K

$60.2K

$86.3K

How much do ai rag jobs pay per year?

As of Sep 15, 2026, the average yearly pay for ai rag in Silver Spring, MD is $60,213.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,700.00 and $67,200.00 per year, depending on experience, location, and employer.

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 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 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 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 are popular job titles related to Ai Rag jobs in Silver Spring, MD?

For Ai Rag jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Ai Rag jobs in Silver Spring, MD look for?

The top searched job categories for Ai Rag jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Ai Rag jobs?

Cities near Silver Spring, MD with the most Ai Rag job openings:

Ai Rag jobs near you

Lead Data Engineer

Alexandria, VA • On-site

American Society of Clinical Oncology (ASCO)
Non-Profits • 201 - 500 employees
Learn more about American Society of Clinical Oncology (ASCO)external

$122K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Key responsibilities

  • Design, build, and optimize production-grade batch and streaming data pipelines in a multi-cloud ecosystem.

  • Build and operationalize AI capabilities including RAG, semantic search, vector databases, and multi-agent workflows.

  • Write production-grade Python code and microservices, and lead through code reviews and technical mentorship.

Job description

Are you interested in making a world of difference in cancer care?
Cancer strikes more than 10 million people worldwide each year. As the leading medical society representing doctors who care for people with cancer, the American Society of Clinical Oncology (ASCO) is committed to conquering cancer through research, education, and promotion of the highest quality care.
Who we are:
ASCO is a flexible, high-performance membership organization where employees collaborate to support our mission through evidence, care, and impact. Together with Conquer Cancer, the ASCO Foundation, we foster a culture that prioritizes customer-centricity, emphasizes teamwork, and commits to quality. Our culture, ASCO Works - Our Way of Working, has long enabled workplace flexibility and embraced technology to help us achieve balance. To learn what it's like to work at ASCO, click here.
Total Rewards:
At ASCO, we offer a competitive and comprehensive total rewards package. Our compensation philosophy and structure ensure that pay remains market-based, tied to performance, and aligned with our core values. The hiring salary range displayed accounts for a broad spectrum of factors, and the final offer will depend on an evaluation of the selected candidate's experience, training, and specialized skill sets.
In addition to base pay, this position is eligible for our robust total rewards package, which includes health, vision, and dental insurance, a 401(k) with generous contribution, health and wellness benefits, family forming benefits, education support program, generous leave, and much more!
Who we are looking for:
ASCO is in search of a high-performing Lead Data Engineer to play a vital role as a hands-on architect and engineer turning complex data into strategic business value. This role is responsible for actively writing code, building scalable data pipelines, pioneering responsible AI practices, and deploying production-grade solutions for AI/ML, BI, and operations. The position will solve data engineering challenges, elevate technical standards, and lead through code.
This position is hybrid with a primary location at our headquarters in Alexandria, VA. The hire must reside within 75 miles of our headquarters. We anticipate the hire to be onsite approximately 1-2 days per week.
Responsibilities
  • Architect & Deploy Scalable Data Pipelines/Products: Design, build, and optimize production-grade batch and streaming data pipelines in a multi-cloud (GCP, AWS, Azure) ecosystem to unify enterprise data assets into a high-performance AI, analytics, and operational foundation.
  • Simple to Complex Data Pipelines: Design, build, and optimize scalable batch and streaming data ingestion pipelines for both structured and unstructured data.
  • Trusted Context Foundation: Ensure all developed solutions meet high standards for security, quality, reliability, explainability, and maintainability.
  • Engineer Agentic AI & RAG Workflows: Build and operationalize modern AI capabilities-including RAG, semantic search, vector databases, and autonomous multi-agent workflows, grounded in clean enterprise context.
  • Establish MLOps & LLMOps Rigor: Build CI/CD, containerization, and observability frameworks to streamline LLM service integrations for fast, reliable, and cost-effective application delivery.
  • Write Production-Grade Code & APIs: Deliver clean, maintainable Python code and microservices that integrate data products directly into AI agents, business applications, and operational workflows.
  • Optimize Platform Cost & Performance: Continually refine database designs, storage tiers, and compute workloads to maximize query speed while actively optimizing cloud operating costs (OpEx).
  • Translate Strategy into Execution: Partner with product leads and business stakeholders to translate mission goals into scalable technical solutions that accelerate the digital roadmap.
  • Lead Through Code & Technical Mentorship: Set engineering standards, drive rigorous code reviews, and elevate team capability by actively building alongside junior and mid-level data engineers.
  • Ensure Operational Reliability & Incident Health: Perform root-cause analysis and rapid remediation for complex data platform incidents to maintain continuous system availability and data integrity.

Required Education and Experience
  • Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Applied Mathematics, or a related technical field (or equivalent practical experience).
  • 9+ years of hands-on experience architecting, building, and maintaining enterprise-grade batch and streaming data pipelines in modern cloud environments.
  • 2+ years of hands-on experience building and deploying production-grade AI/ML solutions, including RAG architectures, vector databases, LLM integrations, and agentic workflows.
  • Deep mastery of Python and modern data/software engineering practices.
  • Proven expertise with cloud-native data architectures (GCP/BigQuery, AWS, or Azure), distributed computing, enterprise data modeling, and visualizing end-to-end integration flows.
  • Direct experience establishing MLOps/LLMOps pipelines, containerization (Docker), real-time evaluation frameworks, and automated CI/CD deployments.
  • Demonstrated ability to tune physical data models and compute workloads to increase system performance while controlling cloud operating costs (OpEx).
  • Proven ability to drive technical strategy, establish coding standards, and mentor engineering teams through direct, active code contribution.

Preferred Education and Experience
  • Hands-on exposure to specialized AI orchestration tooling (e.g., Google Vertex AI Agent Builder).
  • Master's degree in Computer Science, Data Science, or Artificial Intelligence.

Competencies
  • Ability to design, build, and evolve multi-cloud data architectures that balance high performance with operational cost efficiency (OpEx optimization), ensuring data platforms scale seamlessly with enterprise growth.
  • Hands-on expertise in moving modern AI concepts (agentic workflows, RAG, and LLM integrations) from experimental concepts into reliable, secure, high-availability operational environments.
  • A "lead from the code" mindset that elevates team capability, enforces modern data engineering practices, and establishes high standards for code quality, documentation, and maintainability.
  • Strategic ability to connect complex data architectures directly to measurable enterprise value, translating business objectives into high value technical initiatives.
  • Deep commitment to building a system of interconnected data sources with built-in observability and improvement mechanisms by embedding data quality, automated governance, security, and real-time observability across all pipeline workflows.
  • Strong collaborative approach that bridges the gap between raw data infrastructure, product leads, software engineers, and business stakeholders to accelerate the digital product roadmap.

ADA/Physical Requirements
Extended periods seated or standing at a desk.
High use of computer and other office technology equipment.
Travel
1-5 days/yr
Compensation
This is an exempt position. The hiring salary range for this position is $164,000-$200,000 annualized.
The range displayed reflects the minimum and maximum annualized salary ASCO expects to provide for a new hire for the position across the U.S. We thoughtfully determine and design offers based on the selected candidate's relevant experience and qualifications.
Generous Benefits Package:
  • Hybrid Work Environment
  • Open Leave Policy
  • Paid Family Leave
  • 13 Paid Holidays per Calendar Year
  • Staff Appreciation Days
  • 401(k): 7.5% Employer Contribution
  • Medical/Dental/Vision
  • Employee Assistance Program
  • Fertility and Family Forming
  • Healthcare Concierge
  • Flexible Spending Account(s)
  • Healthcare Savings Account
  • Disability and Life Insurance

Applications are accepted and reviewed on a rolling basis. The job posting will remain active throughout the candidate application evaluation process.
The American Society of Clinical Oncology (ASCO) is an Equal Employment Opportunity (EEO) employer. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, national origin, sex, and religion.

Apply