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Remote Rag Jobs in Richardson, TX (NOW HIRING)

Performacentric

Full Stack Developer

Dallas, TX · On-site +1

Remote (Preferred: Philippines, Latin America, or North America) Employment Type: Full-Time / ... Build retrieval-augmented generation (RAG) solutions. * Support prompt engineering and AI workflow ...

NTT DATA Services

Agentic AI Architect

Dallas, TX · On-site +1

Design and implement Knowledge Graph and Graph RAG architectures to improve reasoning, contextual ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

NTT DATA Services

Agentic AI Architect

Dallas, TX · On-site +1

Design and implement Knowledge Graph and Graph RAG architectures to improve reasoning, contextual ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

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Remote Rag information

See Richardson, TX salary details

$15

$19

$21

How much do remote rag jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote rag in Richardson, TX is $19.53, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $20.72 per hour, depending on experience, location, and employer.

What is a Remote RAG?

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 the key skills and qualifications needed to thrive as a Remote RAG?

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

What are some common challenges faced by professionals working in a remote RAG 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 are popular job titles related to Remote Rag jobs in Richardson, TX?

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Remote Rag jobs near you
Infographic showing various Remote Rag job openings in Richardson, TX as of June 2026, with employment types broken down into 20% Full Time, and 80% Part Time. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution, with an average salary of $40,615 per year, or $19.5 per hour.

Senior AI Application Engineer (Remote Opportunity)

VetsEZ

Dallas, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago

Key responsibilities

  • Design, develop, and implement enterprise AI applications utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).

  • Develop AI-assisted search, summarization, and question-answering capabilities using Amazon Bedrock.

  • Integrate AI capabilities into existing enterprise healthcare applications and clinical workflows.

Job description

VetsEZ is seeking a Senior AI Application Engineer to design, develop, and implement enterprise Artificial Intelligence (AI) solutions supporting the Department of Veterans Affairs (VA). The initial assignment will support the Joint Longitudinal Viewer (JLV) AI Summarization initiative, delivering a secure, governed AI-assisted search and summarization capability within an approved test environment utilizing Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and Amazon Bedrock, while supporting clinical evaluation and future production readiness.

Working closely with AI Solution Architects, Product Owners, cybersecurity teams, DevSecOps engineers, and clinical stakeholders, this individual will develop secure, scalable, and maintainable AI-powered applications that integrate seamlessly with existing enterprise healthcare systems while ensuring compliance with Federal security, privacy, and AI governance requirements.

Responsibilities:

  • Design, develop, and implement enterprise AI applications utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
  • Develop AI-assisted search, summarization, and question-answering capabilities using Amazon Bedrock.
  • Build reusable AI services supporting prompt orchestration, document retrieval, and response generation.
  • Implement prompt engineering and source-grounding strategies to improve AI accuracy, consistency, traceability, and clinical relevance, including source links that support human verification.
  • Optimize AI performance while balancing response quality, latency, and operational cost.
  • Design and develop secure, scalable cloud-native applications utilizing modern software engineering practices.
  • Develop RESTful APIs and backend services supporting AI capabilities and enterprise integrations.
  • Implement approved document retrieval, vector search, and semantic search capabilities within the selected patient context and CHSD document set.
  • Develop automated unit, integration, and functional tests and repeatable AI evaluations for groundedness, retrieval quality, and clinical relevance supporting AI-enabled applications.
  • Troubleshoot software defects, optimize application performance, and support activities within the approved test environment and for future production readiness.
  • Integrate AI capabilities into existing enterprise healthcare applications and clinical workflows.
  • Develop secure interfaces utilizing REST APIs and modern integration patterns.
  • Support interoperability utilizing healthcare standards including FHIR, HL7, and CCD.
  • Collaborate with Solution Architects and engineering teams to implement scalable and maintainable application designs.
  • Participate in code reviews and promote software engineering best practices across the development team.
  • Develop secure software in accordance with Federal cybersecurity and privacy requirements, including approved data-retention and purge controls.
  • Support CI/CD pipelines, automated deployments, and cloud-native operational practices.
  • Implement logging, monitoring, audit capabilities, and operational telemetry, including model and prompt version tracking, usage and cost monitoring, and controls to detect model, prompt, retrieval, and data drift.
  • Support application security scanning, vulnerability remediation, and activities within the approved test environment and for future production readiness.
  • Incorporate Responsible AI, Human-in-the-Loop (HITL), and AI governance principles into application development.
  • Collaborate with architects, product owners, clinicians, cybersecurity teams, and Government stakeholders throughout the software development lifecycle.
  • Participate in Agile ceremonies including Sprint Planning, backlog refinement, Sprint Reviews, and Retrospectives.
  • Contribute to technical documentation, implementation guides, and software design artifacts.
  • Present technical solutions and implementation approaches to project leadership and stakeholders.

Requirements:

  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, Artificial Intelligence, Data Science, or a related technical field, or equivalent experience.
  • 8+ years developing enterprise software applications.
  • 5+ years developing cloud-native applications utilizing AWS or comparable cloud platforms.
  • Demonstrated experience developing Artificial Intelligence, Machine Learning, or Generative AI solutions.
  • Experience implementing applications utilizing Amazon Bedrock or similar enterprise AI platforms.
  • Experience developing enterprise REST APIs and cloud-native application services.
  • Amazon Bedrock and AWS cloud services
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Prompt engineering and AI evaluation
  • Python, Java, or C#
  • REST APIs and JSON
  • Vector databases, embeddings, and semantic search
  • Git, CI/CD, and DevSecOps
  • Healthcare interoperability (FHIR, HL7, CCD)

Additional Qualifications:

  • Strong understanding of modern software engineering principles and cloud-native application development.
  • Experience developing scalable, secure, and maintainable enterprise applications.
  • Excellent analytical, troubleshooting, and problem-solving skills.
  • Strong written and verbal communication skills with the ability to collaborate across multidisciplinary engineering teams.
  • Ability to obtain and maintain a Government Public Trust clearance.
  • Experience supporting the Department of Veterans Affairs (VA), Department of Defense (DoD), or other Federal healthcare organizations.
  • Experience developing AI-enabled clinical workflow, information-retrieval, or clinician-support applications requiring human validation.
  • Experience implementing vector search, embeddings, semantic search, and prompt orchestration.
  • Knowledge of Responsible AI, NIST AI Risk Management Framework (AI RMF), NIST SP 800-53, FISMA, and FedRAMP.
  • Familiarity with clinical terminology standards including SNOMED CT, ICD-10, RxNorm, and LOINC.
  • AWS Developer, AWS AI, Machine Learning, or other AWS cloud certifications are highly desirable.

Security Clearance Requirements

  • U.S. Citizenship is required.
  • All selected candidates must successfully complete a background check.
  • Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required for the position.

Benefits:

  • Medical, Dental, and Vision Insurance
  • 401(k) with Employer Match
  • Paid Time Off plus Federal Holidays
  • Corporate Laptop
  • Professional Development and Training Opportunities
  • Remote Opportunity

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.

Employment Type: FULL_TIME

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