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Remote Retrieval Augmented Generation Jobs in West Virginia

AmeriSave Mortgage Corp.

$175K - $350K/yr

Build and optimize Retrieval-Augmented Generation pipelines with hybrid retrieval, semantic ... High-speed internet required for remote work, Cable or Fiber ONLY with the ability to connect via ...

GDIT

Senior Cloud Solutions Engineer

WV · On-site +1

$49.75 - $64.25/hr

... LLMs, Retrieval-Augmented Generation (RAG), vector search, knowledge integration, agentic ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

AmeriSave Mortgage Corp.

$150K - $180K/yr

... and retrieval-augmented generation (RAG) pipelines. * Integrate AI services into full-stack ... Excellent communication and teamwork skills, with the ability to work effectively in a remote ...

AmeriSave Mortgage Corp.

$100K - $120K/yr

... and retrieval-augmented generation (RAG) pipelines. * Integrate AI services into full-stack ... Excellent communication and teamwork skills, with the ability to work effectively in a remote ...

GDIT

Data Scientist Principal

WV · On-site +1

$122K - $165K/yr

... and retrieval augmented generation (RAG) to deliver precise, data-driven responses * Build an ... Remote CLEARANCE: Ability to obtain a Public Trust: candidate must have lived in the United States ...

GDIT

Data Scientist Principal

WV · On-site +1

$144K - $195K/yr

... and retrieval augmented generation (RAG) to deliver precise, data-driven responses * Build an ... Remote GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of ...

Cengage Learning

Principal Software Engineer

Charleston, WV · On-site +1

$124K - $167K/yr

... retrieval augmented generation, and vector databases. * Hands-on experience integrating or ... remote-first environments. * Experienced in breaking down complicated technical concepts for ...

GDIT

Sr. Healthcare Data Scientist (Medicare/Medicaid)

WV · On-site +1

$97K - $132K/yr

... and retrieval-augmented pipelines. * Present findings to a range of audiences (technical/non ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

Experian

Establish patterns for tool access, grounded context, retrieval, memory, policy enforcement ... generation, enterprise integration, and AI/tool invocation. * Perform technical spikes and proofs ...

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Remote Retrieval Augmented Generation information

What is remote retrieval augmented generation?

Remote Retrieval Augmented Generation (RAG) is an advanced AI technique that combines large language models with external information sources. In a remote RAG setup, the model retrieves relevant data from remote databases or APIs during the generation process, enhancing its responses with up-to-date or domain-specific knowledge. This approach is widely used in applications that require accurate, context-aware answers, such as chatbots, search engines, and virtual assistants. By leveraging remote retrieval, RAG systems can access a broader range of information without needing to store all data locally.

What skills and qualifications are needed to thrive as a remote retrieval augmented generation engineer?

To thrive as a Remote Retrieval Augmented Generation (RAG) Engineer, you need a strong background in machine learning, natural language processing, and information retrieval, often backed by a degree in computer science or a related field. Familiarity with tools and frameworks like PyTorch, TensorFlow, Hugging Face Transformers, and experience with retrieval systems such as Elasticsearch or FAISS are typically required. Problem-solving, effective communication, and adaptability are important soft skills for collaborating remotely and iterating on rapidly evolving AI solutions. These skills ensure the engineer can design, deploy, and optimize robust RAG systems that effectively combine retrieval and generation for high-quality AI outputs.

What are common challenges faced by professionals working in remote retrieval augmented generation roles, and how can they be addressed?

Professionals in Remote Retrieval Augmented Generation (RAG) roles often encounter challenges related to integrating diverse data sources, ensuring low latency in information retrieval, and maintaining the quality and relevance of augmented outputs. Coordinating effectively with distributed teams and adapting to rapidly evolving AI technologies are also common hurdles. To address these, staying current with best practices in data engineering, leveraging robust APIs, and participating in regular team check-ins can help ensure smooth collaboration and system performance.

What is the difference between Remote Retrieval Augmented Generation vs Remote Data Scientist?

AspectRemote Retrieval Augmented GenerationRemote Data Scientist
CredentialsAI/ML knowledge, programming skillsStatistics, programming, domain expertise
Work EnvironmentAI development, NLP projectsData analysis, model building
Industry UsageAI, NLP, machine learningTech, finance, healthcare
Search & ComparisonOften compared for AI roles involving language modelsCompared for data analysis roles

Remote Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with language generation, requiring expertise in AI, NLP, and programming. Remote Data Scientists analyze data, build models, and interpret results, often with statistical and domain knowledge. While both roles may work remotely and involve data handling, Retrieval Augmented Generation emphasizes AI model development, whereas Data Scientists focus on data analysis and insights.

What are the most commonly searched types of Retrieval Augmented Generation jobs in West Virginia?

The most popular types of Retrieval Augmented Generation jobs in West Virginia are:

What are popular job titles related to Remote Retrieval Augmented Generation jobs in West Virginia?

For Remote Retrieval Augmented Generation jobs in West Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Retrieval Augmented Generation jobs in West Virginia look for?

The top searched job categories for Remote Retrieval Augmented Generation jobs in West Virginia are:

What cities in West Virginia are hiring for Remote Retrieval Augmented Generation jobs?

Cities in West Virginia with the most Remote Retrieval Augmented Generation job openings:

Remote Retrieval Augmented Generation jobs near you

Director of Gen AI & Agentic AI Engineering

AmeriSave Mortgage Corp.

On-site, Remote

$175K - $350K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago

Key responsibilities

  • Lead the design, development, and deployment of enterprise-grade Gen AI applications for mortgage lending use cases.

  • Build and optimize Retrieval-Augmented Generation (RAG) pipelines with hybrid retrieval, semantic chunking, and vector search.

  • Partner with cross-functional teams to deliver scalable, user-centric AI solutions and evaluate emerging Gen AI technologies.

Job description

AmeriSave is a technology-driven mortgage lender committed to transforming the way consumers access financial products. As we expand our digital capabilities, we’re investing in advanced Generative AI and Agentic AI systems to automate and optimize lending workflows, enhance customer experience, and drive innovation across the enterprise.
 
Role Overview:
We’re seeking a Director of Gen AI & Agentic AI Engineering to lead the design, development, and deployment of enterprise-grade AI applications. This role is ideal for a senior engineering leader with deep technical expertise, a passion for innovation, and a track record of building production-ready Gen AI systems.
You will guide the development of intelligent agents, RAG pipelines, and multimodal applications, while continuously evaluating emerging technologies to ensure AmeriSave remains at the forefront of AI-driven lending.
 
Responsibilities:
  • Lead Gen AI Development: Architect and deploy Gen AI applications using LLMs and agentic frameworks for mortgage lending use cases.  
  • RAG Pipeline Innovation: Build and optimize Retrieval-Augmented Generation pipelines with hybrid retrieval, semantic chunking, and vector search.  
  • Cloud-Native Integration: Integrate AI solutions with Azure OpenAI, GCP Vertex AI, and other cloud-native services.  
  • Multimodal Intelligence: Work with unstructured data (PDFs, HTML, audio, images) and multimodal models.  
  • LLMOps Leadership: Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking.  
  • Cross-Functional Collaboration: Partner with product managers, data engineers, and UX teams to deliver scalable, user-centric solutions.  
  • Mentorship & Strategy: Mentor engineers, lead technical design reviews, and contribute to long-term AI strategy.  
  • Technology Evaluation: Continuously assess emerging Gen AI technologies (e.g., Gemini, Claude, open-source models) to identify best-in-class solutions for today and tomorrow.
 
Required Skills & Experience:
  • 8+ years in software engineering or data science, with 3+ years in Gen AI or LLM-based systems.  
  • Strong programming skills in TypeScript, Python, or similar languages.  
  • Experience with REST API development, containerization, and cloud platforms (Azure, GCP).  
  • Deep understanding of AI governance, model safety, and prompt engineering.  
  • Proven ability to lead teams and deliver enterprise-grade AI applications.  
  • Excellent communication, collaboration, and problem-solving skills.
 
Bonus Points:
  • Experience with BytePro LOS and Asterisk telephony systems.  
  • Familiarity with mortgage compliance frameworks such as HMDA, TRID, RESPA, and ECOA.  
  • Experience with rules engines such as FICO Blaze Advisor, IBM Operational Decision Manager (ODM), or Red Hat Decision Manager.  
  • Experience in fintech, lending, or mortgage tech.  
  • Contributions to open-source Gen AI or document AI projects.  
  • Knowledge of compliance workflows (e.g., KYC, income verification).  
  • Experience with multimodal AI and agentic frameworks.

High-speed internet required for remote work, Cable or Fiber ONLY with the ability to connect via Ethernet. Minimum speeds: 70/30 Mbps (basic), 200-300/35-70 Mbps (shared), 500-1,000/100+ Mbps (heavy use).

**Please note that the compensation and benefit information that follows is a good faith estimate for this position only and is provided pursuant to applicable state and local laws on pay transparency. It is estimated based on what a successful applicant in the relevant state might be paid. **  
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Compensation: 
Annual compensation for this position generally ranges from $175,000 - $350,000.
Benefits: 
  
·         401(k) 
·         Dental insurance 
·         Disability insurance 
·         Employee discounts 
·         Health insurance 
·         Life insurance 
·         Paid time off 
·         12 paid holidays per year 
·         Paid training 
·         Referral program 
·         Vision insurance 
  
Supplemental pay types: 
  
·         Referral bonuses 
 
AmeriSave is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
 
California Consumer Privacy Act Disclosure Acknowledgment 
Employment Applicants, New Hires, and Employees Residing in California 
  
AmeriSave Mortgage Corporation’s Privacy Policy Statement (“Policy”) can be reviewed here: www.amerisave.com/privacy-policy 
  
AmeriSave Mortgage Corporation’s California Consumer Privacy Act (“CCPA”) Recruitment Disclosure can be reviewed here: https://www.amerisave.com/ccpa-recruitment-disclosure/ 
  
When AmeriSave’s Human Resources Department makes future requests for personal information, the same Policy is applicable. By applying, you understand this acknowledgment covers current and future personal information requests. You also acknowledge the business purpose of the personal information collected and that future requests may occur while applying for a position at AmeriSave and/or during employment, if applicable. 
 

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