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Retrieval Augmented Generation Rag Jobs in Washington, DC

Data & AI Engineer

Washington, DC · On-site

$129K - $155K/yr

The Data & AI Engineer will implement retrieval-augmented generation (RAG) patterns, embedding and indexing pipelines, vector stores, and semantic models alongside core ELT, streaming, and analytical ...

Data & AI Engineer

Washington, DC · On-site

$129K - $155K/yr

The Data & AI Engineer will implement retrieval-augmented generation (RAG) patterns, embedding and indexing pipelines, vector stores, and semantic models alongside core ELT, streaming, and analytical ...

AI and Data Engineer

Washington, DC · On-site

$129K - $155K/yr

The Data & AI Engineer will implement retrieval-augmented generation (RAG) patterns, embedding and indexing pipelines, vector stores, and semantic models alongside core ELT, streaming, and analytical ...

Data Engineer II

Columbia, MD · On-site

$93K - $100K/yr

This role leads innovation efforts around cutting-edge AI, owning the architecture and strategy for fine-tuning, retrieval-augmented generation (RAG), agentic frameworks, and domain-specific model ...

Identify opportunities for advanced AI capabilities, automation, Retrieval-Augmented Generation (RAG), and agentic AI solutions and coordinate with technical teams as needed. Requirements * U.S.

Identify opportunities for advanced AI capabilities, automation, Retrieval-Augmented Generation (RAG), and agentic AI solutions and coordinate with technical teams as needed. Requirements * U.S.

Identify opportunities for advanced AI capabilities, automation, Retrieval-Augmented Generation (RAG), and agentic AI solutions and coordinate with technical teams as needed. Requirements * U.S.

Data Engineer II

Columbia, MD · On-site +1

$93K - $100K/yr

This role leads innovation efforts around cutting-edge AI, owning the architecture and strategy for fine-tuning, retrieval-augmented generation (RAG), agentic frameworks, and domain-specific model ...

This role leads innovation efforts around cutting-edge AI, owning the architecture and strategy for fine-tuning, retrieval-augmented generation (RAG), agentic frameworks, and domain-specific model ...

Data Engineer II

Columbia, MD · On-site

$93K - $100K/yr

This role leads innovation efforts around cutting-edge AI, owning the architecture and strategy for fine-tuning, retrieval-augmented generation (RAG), agentic frameworks, and domain-specific model ...

Design and optimize Retrieval-Augmented Generation (RAG) pipelines for performance and scalability * Implement AI governance frameworks, including security guardrails and cost optimization strategies

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Retrieval Augmented Generation Rag information

See Washington, DC salary details

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How much do retrieval augmented generation rag jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for retrieval augmented generation rag in Washington, DC is $22.93, according to ZipRecruiter salary data. Most workers in this role earn between $19.62 and $23.94 per hour, depending on experience, location, and employer.
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Infographic showing various Retrieval Augmented Generation Rag job openings in Washington, DC as of June 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 66% In-person, and 34% Remote job distribution, with an average salary of $47,704 per year, or $22.9 per hour.
AI ML with Security Clearance

AI ML with Security Clearance

MasterPeace Solutions, Ltd.

Columbia, MD • On-site

$57.75 - $77.25/hr

Other

Posted 15 hours ago


Job description

Seeking a motivated AI/ML Engineer to support the exciting Corporate Discovery Services mission. The AI/ML Engineer will act as the critical bridge between data science and software engineering mission capturing requirements from stakeholders to deliver robust, scalable, and functional innovative prototypes and deploy solutions. Job Responsibilities/Qualifications: Mission Focus: Use Machine Learning Operations (MLOps) set of practices to automate and standardize the lifecycle of machine learning models, from development and training to deployment and monitoring, borrowing principles from DevOps to ensure reliable, efficient, and scalable ML systems in production. Create Machine Learning, Generative AI Large Language Models (LLM), Retrieval Augmented Generation (RAG), and Agentic AI AI/ML pipelines. Technical Proficiency: Proficiency in Python with TensorFlow, PyTorch, Scikit-learn, Keras, PySpark, vLLM, and NVIDIA CUDA (Compute Unified Device Architecture) libraries. Strong grasp of version control (GitLab), Continuous Integration/Continuous Deployment (GitLab CI/CD), and containerization (Docker, Kubernetes). Required Qualifications: Bachelor's degree plus 11-years of relevant experience or equivalent. Desirable Skills: MLOps
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