ZipRecruiter

Log In

2

Remote Rag Jobs in Georgetown, TX (NOW HIRING)

David Joseph & Company

AI Engineer

Austin, TX · On-site +1

$140K - $200K/yr

Remote (United States) Compensation: $140,000 - $200,000 base Visa Sponsorship: None available ... Architect and implement robust RAG workflows -- vector database management, embedding optimization ...

Qvest US

Senior Engineer (Applied AI / ML)

Austin, TX · 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 ...

MyHR Partner, Inc

Data Platform Engineer

Austin, TX · On-site +1

$135K - $155K/yr

Are you excited to work with a high-trust, remote-first team committed to service, clarity, and ... Work on vector storage, semantic indexing, and future RAG (Retrieval-Augmented Generation) features

Qvest US

Senior Engineer (Applied AI / ML)

Austin, TX · On-site +1

$103K - $142K/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 ...

MyHR Partner, Inc

Data Platform Engineer

Austin, TX · On-site +1

Are you excited to work with a high-trust, remote-first team committed to service, clarity, and ... Work on vector storage, semantic indexing, and future RAG (Retrieval-Augmented Generation) features

myHR Partner

Data Platform Engineer

Austin, TX · On-site +1

$135K - $155K/yr

Are you excited to work with a high-trust, remote-first team committed to service, clarity, and ... Work on vector storage, semantic indexing, and future RAG (Retrieval-Augmented Generation) features

next page

Showing results 1-20

All JobsRemote Rag JobsRemote Rag Jobs in Georgetown, TX

Remote Rag information

See Georgetown, TX salary details

$16

$19

$22

How much do remote rag jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for remote rag in Georgetown, TX is $19.98, 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.
What are popular job titles related to Remote Rag jobs in Georgetown, TX? For Remote Rag jobs in Georgetown, TX, the most frequently searched job titles are:
What job categories do people searching Remote Rag jobs in Georgetown, TX look for? The top searched job categories for Remote Rag jobs in Georgetown, TX are:
What cities near Georgetown, TX are hiring for Remote Rag jobs? Cities near Georgetown, TX with the most Remote Rag job openings:
Remote Rag jobs near you

AI Engineer

David Joseph & Company

Austin, TX • On-site, Remote

$140K - $200K/yr

Full-time

Medical, Dental, Vision

Posted 27 days ago

Job description

AI Engineer

Location: Remote (United States)
Compensation: $140,000 – $200,000 base
Visa Sponsorship: None available — US Citizen or Green Card holder required
Experience Level: 5+ years
Employment Type: Full-Time

About the Company

The company is an enterprise AI company based in Austin, Texas, founded in 2021. The company offers a hybrid AI platform that integrates autonomous AI agents with human expertise, allowing businesses to build, deploy, and scale custom AI solutions significantly faster and at lower cost than traditional methods. The no-code platform supports full-lifecycle AI including data integration, predictive analytics, and workflow automation. Series A with $39.5M raised, serving manufacturing, retail, and financial services customers globally.

About the Role

As an AI Engineer, you will design, train, and deploy machine learning models and LLM-powered systems that power an automated machine learning platform for enterprise users. You will bridge the gap between complex data science and intuitive user experiences — owning everything from RAG pipeline architecture to production deployment and API development.

What You'll Own
  • Design, train, and optimize ML models and LLMs to solve complex predictive and generative tasks within the RapidCanvas platform
  • Architect and implement robust RAG workflows — vector database management, embedding optimization, and advanced prompt engineering
  • Deploy scalable AI services using containerization and orchestration tools, ensuring high availability and low-latency inference
  • Build and maintain automated data ingestion and preprocessing pipelines to transform raw enterprise data into high-quality training sets and feature stores
  • Establish rigorous evaluation frameworks to measure model accuracy, drift, and computational efficiency
  • Develop secure, high-performance APIs to expose AI capabilities to the frontend
Requirements
  • 5+ years of professional experience moving ML models into production environments
  • Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related quantitative field
  • Proven experience implementing LLMs and RAG architectures using LangChain, LlamaIndex, OpenAI APIs, or similar
  • Advanced Python proficiency including FastAPI or Flask for model serving
  • Hands-on experience with vector databases — Pinecone, Milvus, Weaviate, or equivalent
  • MLOps experience — Docker, Kubernetes, MLflow, Airflow, or similar for full ML lifecycle management
  • Cloud platform experience — AWS, GCP, or Azure
  • Experience with SQL/NoSQL databases and large-scale data processing
  • US Citizen or Green Card holder — no visa sponsorship available
Nice to Have
  • Experience with Auto-ML or No-Code/Low-Code data science platforms
  • Proficiency with gradient-boosted trees (XGBoost, LightGBM), time-series forecasting, and deep learning frameworks
  • Experience with automated feature engineering and hyperparameter tuning (Optuna, Ray Tune)
  • Familiarity with Spark or Dask for large-scale data processing
  • Master's or PhD in Computer Science, Statistics, Mathematics, or related quantitative field
Benefits
  • Health, dental, and vision insurance
  • Outcome-oriented flexibility — focus on impact over hours logged
Interview Process
  1. First-round team interview — technical and collaborative session
  2. Technical assessment — practical skills evaluation or take-home assignment
  3. Deep-dive interview — architecture, methodologies, and project experience
  4. Cultural alignment and leadership interview with key stakeholders
Logistics
  • Role is fully remote within the United States
  • US Citizen or Green Card holder required — no visa sponsorship or relocation assistance available

Shortlisted candidates will be contacted by David Joseph & Co.