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Remote Rag Jobs in McKinney, TX (NOW HIRING)

Lead AI Engineer - AWS Platform

Dallas, TX · On-site +1

$130K - $190K/yr

Build RAG pipelines using vector databases and enterprise data sources * Build machine learning ... Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance ...

... RAG-based systems. Why Join 4Minds: We're building the future of enterprise AI, and we're always ... Dallas HQ for our Builders and Remote for our teams supporting our customers * Monthly team events ...

Data Scientist

Richardson, TX · Remote

$116K - $198K/yr

Develop retrieval augmented generation (RAG) pipelines using embeddings and vector databases ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

Data Scientist

Richardson, TX · Remote

$116K - $198K/yr

Develop retrieval augmented generation (RAG) pipelines using embeddings and vector databases ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

... RAG (Retrieval-Augmented Generation). - Collaborate closely with ML Engineers, MLOps, software ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Design solutions for context management, memory, and retrieval-augmented generation (RAG) to ...

Senior Software Engineer

Irving, TX · On-site +1

$117K - $155K/yr

Hybrid -- Trilogy NextGen office (3 days on-site / 2 days remote) Employment: Full-Time -- Direct ... RAG (Retrieval-Augmented Generation) pipelines, or fine-tuning workflows. • Familiarity with ...

Forward Deployed Engineer

Dallas, TX · On-site +1

$190K - $225K/yr

... RAG-based systems. Role Overview As a Forward Deployed Engineer (FDE), you'll operate at the ... Remote Position with travel to Customer Sites 50% of the time * Access to local co-working space

Forward Deployed Engineer

Dallas, TX · On-site +1

$190K - $225K/yr

... RAG-based systems. Role Overview As a Forward Deployed Engineer (FDE), you'll operate at the ... Remote Position with travel to Customer Sites 50% of the time * Access to local co-working space

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues ...

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Remote Rag information

See McKinney, TX salary details

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How much do remote rag jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for remote rag in McKinney, TX is $19.95, according to ZipRecruiter salary data. Most workers in this role earn between $16.73 and $21.20 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.
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Lead AI Engineer - AWS Platform

The Mutual Group

Dallas, TX • On-site, Remote

$130K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

Department:

Information Technology

Job Description:

We are modernizing our data and analytics ecosystem by embedding AI and Generative AI across core insurance platforms (Policy, Claims, Billing, and Enterprise systems).

We are hiring a Lead AI Engineer to build and scale production-grade AI solutions on AWS. This role is hands-on and focused on delivering real systems, while helping shape the foundation of our emerging AI platform.

This is not a pure research or modeling role. It is an engineering role focused on building, deploying, and operating AI systems in a regulated enterprise environment.

Work Arrangement:

  • Employees who live within 30 miles of the TMG home office are expected to follow a hybrid or in-office schedule. The initial training period may require additional inoffice days.

Accountabilities:

Build AI Systems (Core Responsibility)

  • Design and implement end-to-end AI/ML solutions including LLM-based applications

  • Build RAG pipelines using vector databases and enterprise data sources

  • Build machine learning models that automate their training, validation, monitoring, and retraining

  • Develop APIs and services to operationalize AI capabilities across the organization

Develop Data + AI Pipelines

  • Build ingestion for multimodal content and transformation pipelines for structured and unstructured data

  • Integrate AI workflows with enterprise systems (policy, claims, billing, etc.)

  • Ensure data quality, traceability, reliability, and governance in all AI pipelines

Operationalize Models (MLOps)

  • Implement CI/CD for AI/ML workflows

  • Deploy, monitor, and maintain models in production

  • Manage model versioning, performance monitoring, and retraining processes

Build on AWS

  • Develop solutions using: Amazon SageMaker, AWS Lambda, S3, Glue, EKS, and related services

  • Contribute to evolving use of AWS Bedrock

Apply Responsible AI Practices

  • Implement guardrails for LLM-based systems (grounding, validation, safety)

  • Ensure secure handling of sensitive data (PII, financial, etc.)

  • Build systems aligned with enterprise governance and compliance standards

Lead by Doing

  • Provide technical guidance and mentorship to engineers

  • Contribute to engineering standards and reusable patterns

  • Partner with architects and business teams to deliver high-impact use cases

Qualifications:

Required

  • 10+ years in software, data engineering, 5 years AI/ML engineering

  • Hands-on experience building production AI/ML systems

  • Experience with RAG pipelines, LLMs, or NLP-based systems

  • Experience with AWS Bedrock or similar GenAI platforms

  • Experience with data pipelines and distributed systems

  • Experience deploying and operating systems in AWS

  • Working knowledge of MLOps practices (CI/CD, monitoring, versioning)

Preferred

  • Experience with vector databases (Pinecone, Weaviate, etc.)

  • Experience in regulated industries (insurance, finance, healthcare)

  • Exposure to microservices and containerized environments (Docker, Kubernetes)

Pay Range:

Anticipated Hiring Range:

  • $130,000 - $190,000 annual base salary depending on experience, qualifications, and geographic location

Benefits:

We are proud to offer our full-time regular employees a robust benefits suite that includes:

  • Competitive base salary plus incentive plans for eligible team members

  • 401(K) retirement plan that includes a company match of up to 6% of your eligible salary

  • Free basic life and AD&D, long-term disability and short-term disability insurance

  • Medical, dental and vision plans to meet your unique healthcare needs

  • Wellness incentives

  • Generous time off program that includes personal, holiday and volunteer paid time off

  • Flexible work schedules and hybrid/remote options for eligible positions

  • Educational assistance

Equal Opportunity Employer

The Mutual Groupis an Equal Opportunity Employer. It is our policy to recruit, hire, train and promote individuals in all job classifications without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or any other characteristic protected by law.

  • Know Your Rights: Workplace Discrimination is Illegal

  • Your Rights Under USERRA

Applicants requiring a reasonable accommodation due to a disability at any stage of the employment application process should contactTalent@themutualgroup.com.

Employment Verification

The Mutual Group participates in theE-Verifyprogram and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You are protected fromemployment discriminationbased on your citizenship status and national origin.

E-Verify Program Overview

E-Verify Participation Poster

All offers of employment are contingent upon the successful completion of a background check.

#TMG