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Remote Rag Jobs in Hockessin, DE (NOW HIRING)

AssetWorks

AI / ML Engineer

Wayne, PA · On-site +1

... RAG (Retrieval-Augmented Generation) pipelines. * LLM Integration & Optimization: Lead the ... Flexible remote work arrangements Worker Type: Regular Number of Openings Available: 1

AssetWorks

AI / ML Engineer

Wayne, PA · On-site +1

... RAG (Retrieval-Augmented Generation) pipelines. * LLM Integration & Optimization: Lead the ... Flexible remote work arrangements Worker Type: Regular Number of Openings Available: 1

Xactus

AI Engineer

Broomall, PA · On-site +1

Xactus is proud to provide a friendly work environment that is primarily remote. Our workforce ... RAG & GraphRAG Architecture: Design and implement retrieval-augmented generation systems using ...

Bread Financial

Senior Staff Agentic AI Engineer

Wilmington, DE · On-site +1

$102K - $139K/yr

The role includes implementing deterministic paths where needed, integrating graph/RAG memory, and ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Morson Talent

AI Adoption Specialist

Wilmington, DE · On-site +1

$35 - $45/hr

Exposure to RAG concepts or vector databases. Awareness of Agile, Lean, or XP delivery ... remote candidates will be considered. This role requires access to U.S. export-controlled ...

The Chemours Company

Senior AI Engineer

Wilmington, DE · On-site +1

$101K - $139K/yr

This is a remote role and will report directly to the Head of Data Science & AI. The role ... RAG) techniques, and a variety of search architectures. Candidates should be able to clearly ...

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Remote Rag information

See Hockessin, DE salary details

$17

$21

$23

How much do remote rag jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for remote rag in Hockessin, DE is $21.48, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $22.79 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 cities near Hockessin, DE are hiring for Remote Rag jobs? Cities near Hockessin, DE with the most Remote Rag job openings:
Remote Rag jobs near you
Infographic showing various Remote Rag job openings in Hockessin, DE as of July 2026, with employment types broken down into 2% Locum Tenens, 6% As Needed, 85% Full Time, 5% Part Time, and 2% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $44,668 per year, or $21.5 per hour.
Applied AI Product Engineer (Remote Opportunity)

Applied AI Product Engineer (Remote Opportunity)

VetsEZ

Philadelphia, PA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago

Job description

EZLabs, the AI innovation division of VetsEZ, is seeking multiple Applied AI Product Engineers to join our growing team in a 100% remote role focused on building intelligent healthcare technology platforms and next-generation AI-driven solutions. At EZ Labs, we are transforming healthcare delivery through technology, innovation, and compassionate design. We partner with care teams, providers, and payers to improve patient engagement, care coordination, and claims management through advanced analytics, intelligent automation, and secure digital platforms.
This role is ideal for a hands-on engineer who thrives at the intersection of AI, product development, and full-stack software engineering. The ideal candidate has practical experience building and deploying real-world AI-powered applications using modern AI development tools such as Cursor, Claude, Codex, OpenAI, and related LLM technologies.
The candidate must reside within the continental US.
Responsibilities:
  • Design, develop, and implement AI-powered features across healthcare product platforms and operational systems.
  • Build full-stack applications using modern AI engineering workflows and tools such as Cursor, Claude, Codex, OpenAI APIs, and related LLM technologies.
  • Collaborate with product managers, designers, engineers, and clinical stakeholders to deliver scalable, user-focused solutions that improve patient engagement, care coordination, and operational efficiency.
  • Develop APIs, backend services, automation pipelines, and AI workflows that support intelligent product capabilities and production-ready deployments.
  • Apply software engineering, DevOps, and MLOps best practices to testing, deployment, monitoring, and optimization of AI solutions.
  • Research emerging AI technologies, LLM implementation patterns, and modern product engineering frameworks to continuously improve platform capabilities.
  • Navigate ambiguity, solve complex technical challenges, and collaborate effectively across technical and non-technical teams in a fast-paced Agile environment.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Requirements:
  • Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical discipline.
  • 2+ years of professional experience in software engineering, product engineering, or full-stack application development.
  • Hands-on experience delivering at least 2-3 production-level AI projects using tools such as Cursor, Claude, Codex, OpenAI, Anthropic, or similar AI development platforms.
  • Strong programming skills with proficiency in Python, TypeScript, JavaScript, or related modern development languages, along with experience building and deploying production-grade full-stack applications.
  • Experience integrating large language models (LLMs), prompt engineering, AI agents, generative AI workflows, or retrieval augmented generation (RAG) architectures.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform, along with containerization and deployment technologies such as Docker and Kubernetes.
  • Strong communication, collaboration, analytical, and problem-solving skills with the ability to work independently in a remote Agile environment.

Additional Qualifications:
  • Experience with AI-assisted software development workflows, vector databases, embeddings, semantic search, orchestration frameworks, or AI workflow automation.
  • Familiarity with machine learning frameworks such as PyTorch, TensorFlow, Hugging Face, or scikit-learn.
  • Exposure to CI/CD pipelines, DevOps practices, infrastructure automation, or secure healthcare technology environments.
  • Experience supporting healthcare, payer/provider, federal government, or Department of Veterans Affairs (VA) technology initiatives is preferred.
  • Ability to obtain a government clearance is a plus.

Benefits:
  • Medical/Dental/Vision.
  • 401k with Employer Match.
  • PTO + Federal Holidays.
  • Corporate Laptop.
  • Training opportunities.
  • Remote Opportunity.

Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.
VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
Sorry, we are unable to offer sponsorship at this time

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