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Remote Rag Jobs in Concord, NC (NOW HIRING)

Qvest US

Senior Engineer (Applied AI / ML)

Concord, NC · Remote

$107K - $146K/yr

Experience developing RAG applications * Experience with and around discussing enterprise ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

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Addison Group

Agentic AI Engineer

Charlotte, NC · Remote

$140K - $175K/yr

Charlotte, NC with a hybrid weekly schedule (3 Days Onsite/2 Days Remote) Status: Salaried, Exempt ... Retrieval-Augmented Generation (RAG) solutions leveraging company knowledge repositories.

Envestnet

Product Security Architect

Concord, NC · On-site +1

Job Location    The primary work location for this role is East Coast with a remote work model ... Working knowledge of AI/LLM concepts, including model integration patterns, RAG architectures, and ...

Envestnet

Product Security Architect

Concord, NC · On-site +1

Job Location    The primary work location for this role is East Coast with a remote work model ... Working knowledge of AI/LLM concepts, including model integration patterns, RAG architectures, and ...

Hunley

VP / Director of Technology

Davidson, NC · Remote

You understand how data lakes, warehouses, lakehouses, RAG, and zero-copy/virtualization fit ... Remote effectiveness. Proven success operating in a fully distributed team and contributing to an ...

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All JobsRemote Rag JobsRemote Rag Jobs in Concord, NC

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How much do remote rag jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for remote rag in Concord, NC is $20.03, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $21.25 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Rag, and why are they important?

I'm sorry, but 'Remote Rag' does not appear to be a recognized professional occupation. Please provide a valid job title.

What is a Remote RAG (Retrieval-Augmented Generation) specialist?

A Remote RAG specialist is a professional who works with Retrieval-Augmented Generation (RAG) systems, typically in the field of artificial intelligence and machine learning. RAG combines traditional information retrieval techniques with generative models like large language models to provide more accurate and contextually relevant answers to user queries. Remote RAG specialists often build, fine-tune, and maintain these systems while working from a remote location. They may also work on integrating RAG models into applications, improving retrieval accuracy, and customizing outputs based on user needs.

What are some common challenges faced by professionals working in a remote RAG (Responsible AI Governance) role?

Professionals in remote RAG roles often encounter challenges related to cross-functional collaboration and maintaining clear communication, especially when working across different time zones. Ensuring alignment on ethical AI standards and compliance requirements can be complex, as it typically involves coordinating with data scientists, legal teams, and business stakeholders. Staying current with evolving regulatory frameworks and best practices in AI governance is also essential, demanding continuous learning and adaptability. Building trust and rapport within a remote team can require extra effort, but leveraging digital collaboration tools and regular check-ins can help mitigate these challenges.
What job categories do people searching Remote Rag jobs in Concord, NC look for? The top searched job categories for Remote Rag jobs in Concord, NC are:
What cities near Concord, NC are hiring for Remote Rag jobs? Cities near Concord, NC with the most Remote Rag job openings:
Remote Rag jobs near you
Python/GenAI Solutions Architect (USA, Remote)

Python/GenAI Solutions Architect (USA, Remote)

Provectus

Concord, NC • Remote

Full-time

Posted 3 days ago

Job description

What You’ll Do:
  • Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs.
  • Implement and optimize RAG systems for production use cases.
  • Design and build LLM-based and agentic AI solutions that address real client business challenges.
  • Own the technical direction of client engagements from discovery through delivery.
  • Support presales: discovery calls, technical proposals, scoping, and client-facing demos.
  • Lead architecture reviews, produce technical design documents, and contribute to standards across the Python practice.
  • Mentor engineers, lead code reviews, and share knowledge across the team.
  • Build and maintain strong relationships with key client stakeholders as a trusted technical advisor.
What You’ll Bring:
Mindset
  • Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure.
  • Already using AI tools in your daily workflow (Claude Code, Copilot, or similar).
  • Proactive and self-directed; you own outcomes end-to-end and spot problems before they're handed to you.
  • B2+ English, comfortable collaborating across distributed, multicultural teams.
Presales & Client Engagement
  • Owns the client technical relationship; leading discovery, decomposing ambiguous requirements into technical components, presenting architecture, and pushing back on scope when it doesn't match timeline or budget.
  • Produces scoped, phased delivery plans with clear deliverables, dependencies, and risks.
  • Experience with cost estimation and cloud architecture cost optimization.
Python, AI & Cloud
  • 7+ years building and running production systems, not only demos and POCs.
  • Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions.
  • Strong Python proficiency: OOP, design patterns, clean architecture, and performance optimization.
  • Experience building RESTful APIs with FastAPI, Django REST, or Flask.
  • Experience making and defending architectural trade-off decisions: microservices vs monolith, sync vs event-driven, SQL vs NoSQL.
  • Strong testing practices: pytest, mocking, and integration tests for AI systems.
  • Experience with Docker and Kubernetes.
  • Hands-on experience building production LLM-based applications and agentic workflows.
  • Experience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock).
  • Experience building and optimizing RAG systems.
  • Understanding of LLM evaluation techniques and quality assurance approaches.
  • Experience deploying and maintaining AI/ML models in production environments.
  • Hands-on experience with AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered.
  • Experience with React/Vue.
  • AWS and Claude Code Certifications.

Nice to Have

  • Experience with Streamlit or Gradio for AI prototyping.
  • Modern Python tooling (ruff, uv, pyproject.toml, pyright).
  • CI/CD pipeline experience (GitHub Actions, GitLab CI).
  • Experience in an additional language (Go, Node.js, or Rust).
  • Front-end experience.
What We Offer:
  • Opportunity to work with cutting-edge AI and cloud solutions.
  • Internal training programs (Leadership, Public Speaking, and more) with full support for AWS and other professional certifications.
  • Career growth: a clear path toward SA or beyond  — we actively develop our engineers.
  • Access to the latest AI tools and premium subscriptions.
  • Remote with flexible hours.
  • Unlimited Vacation policy.
  • Generous health, vision, and dental insurance.
  • 401(K) matching plan.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.