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Rag Developer Jobs in Columbia, SC (NOW HIRING)

Accord Technologies Inc.

AI consultant.

Columbia, SC · On-site

Design and implement AI agents and Retrieval-Augmented Generation (RAG) solutions. * Work with ... Background in a variety of programming languages and programming principles . * Familiarity with ...

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Rag Developer information

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.

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Rag Developer jobs near you

GenAI/ML Engineer | Generative AI (GenAI) Solutions Architect

MDAEdge

Columbia, SC • On-site

$58.25 - $76.75/hr

Full-time

Re-posted 8 days ago

Job description

Job Summary:
MDAEdge is seeking an experienced Generative AI Solutions Architect to lead the design and implementation of cutting-edge GenAI solutions. The role involves defining the architecture, leading development efforts, and ensuring scalable, ethical deployment of AI systems.
Responsibilities:
• Define end-to-end GenAI architecture, including model selection, fine-tuning, retrieval-augmented generation (RAG), vector databases, and prompt engineering pipelines.
• Design and deploy scalable software applications to support Generative AI initiatives.
• Build Minimum Viable Products (MVPs) for rapid iteration in dynamic environments.
• Hands-on model deployment from development to production, with troubleshooting and optimization.
• Collaborate with Data Scientists, MLOps, and Cloud Architects to ensure robust, compliant AI systems.
• Lead a small squad of engineers, providing technical guidance and fostering a high-performance culture.
• Mentor engineers of all levels and drive best practices in AI/ML development.
• Partner with Product, Legal, and Leadership to align AI solutions with ethical, regulatory, and business goals.
• Proactively resolve complex technical challenges across the AI/ML stack.
• Translate technical concepts for executives, engineers, and cross-functional teams.
Qualifications:
Required:
• Proven experience in GenAI architecture (RAG, vector stores, prompt engineering).
• Hands-on ML engineering skills: model training, deployment, and production troubleshooting.
• Expertise in Python and modern software development practices.
• Track record of delivering MVPs and scalable AI solutions.
• Strong leadership: ability to mentor engineers and lead technical teams.
Preferred:
• Familiarity with LLM fine-tuning (e.g., GPT, Llama, Claude).
• Experience with cloud platforms (AWS/Azure/GCP) and MLOps tools.
• Knowledge of AI ethics, compliance, and governance.
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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