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Ai Rag Jobs in West Virginia (NOW HIRING)

Architect and build scalable, interoperable, responsible AI solutions, including generative AI, RAG, agentic AI, and predictive models, and guide their deployment into production. * Serve as a ...

$175K - $350K/yr

RAG Pipeline Innovation: Build and optimize Retrieval-Augmented Generation pipelines with hybrid retrieval, semantic chunking, and vector search. * Cloud-Native Integration: Integrate AI solutions ...

Senior Applied AI Engineer

Charleston, WV ยท Remote

$113K - $149K/yr

Continuously refine Retrieval-Augmented Generation (RAG) pipelines, retrieval strategies, embeddings, reranking, and grounding techniques. * Improve AI response quality through experimentation ...

Partner AI Architect

Charleston, WV ยท On-site

$58.25 - $76.75/hr

Optimize retrieval-augmented generation (RAG) and knowledge architectures to extend Genesys solutions where required . Design scalable knowledge and retrieval strategies that ground AI responses in ...

Secure Retrieval-Augmented Generation (RAG) pipelines, embeddings, vector databases, and enterprise ... AI Threat Modeling * Perform threat modeling for AI applications, agent architectures, prompts ...

WV ยท On-site

Experience developing AI products or functional prototypes using RetrievalAugmented Generation (RAG) and agentic AI technologies. * Experience working with cloud computing platforms (AWS preferred;

Senior Agentic AI Software Engineer

Charleston, WV ยท On-site +1

$113K - $149K/yr

Design and optimize Retrieval-Augmented Generation (RAG) pipelines including document ingestion ... Integrate AI systems with source code repositories, enterprise documentation, APIs, structured data ...

$150K - $180K/yr

Build and deploy AI-powered applications using LLMs, GenAI agents, and retrieval-augmented generation (RAG) pipelines. * Integrate AI services into full-stack solutions using frameworks like ...

$150K - $200K/yr

Build and deploy AI-powered applications using LLMs, GenAI agents, and retrieval-augmented generation (RAG) pipelines. * Integrate AI services into full-stack solutions using frameworks like ...

Review AI/ML and platform solution designs - classical ML, LLM/RAG, and agentic systems - and provide guidance on scalability, security, cost, and compliance across Databricks and AWS * Shape ...

Track record building and operating production AI systems at enterprise scale - RAG pipelines, agentic workflows, LLM API integration, and the governance infrastructure * Fluency in the software ...

... RAG pipelines, and LLM API gateway management (AWS Bedrock, Azure OpenAI, Anthropic) Build AI golden paths for self-service model deployment and LLM integration; design agentic infrastructure ...

... RAG pipelines, and LLM API gateway management (AWS Bedrock, Azure OpenAI, Anthropic) Build AI golden paths for self-service model deployment and LLM integration; design agentic infrastructure ...

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Showing results 1-20

Ai Rag information

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
What are popular job titles related to Ai Rag jobs in West Virginia? For Ai Rag jobs in West Virginia, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in West Virginia look for? The top searched job categories for Ai Rag jobs in West Virginia are:

Principal AI Engineer

Surescripts

Charleston, WV โ€ข Hybrid

Full-time

Medical, Life, Retirement, PTO

Re-posted 2 days ago


Job description

Surescripts serves the nation through simpler, trusted health intelligence sharing, in order to increase patient safety, lower costs and ensure quality care. We deliver insights at critical points of care for better decisions - from streamlining prior authorizations to delivering comprehensive medication histories to facilitating messages between providers.

Job Summary:

The Principal AI Engineer is the most senior individual contributor and technical lead for Surescripts' AI solutions. The role owns the how, the execution, and the by-when for AI initiatives across the enterprise, pairing deep hands-on engineering with the architecture and business judgment to act as a trusted technical partner to product management, engineering, design, and business stakeholders.

The Principal AI Engineer is accountable for technical feasibility, business alignment, and responsible AI practice across Surescripts' platforms. This person designs and delivers AI solutions for both customer-facing products and the internal operations that support Surescripts team members, helping product teams deliver AI that is scalable, reliable, and something they can stand behind.

Responsibilities:
  • Own the technical how and the delivery timeline for AI initiatives, acting as both AI solution architect and principal engineer.
  • Architect and build scalable, interoperable, responsible AI solutions, including generative AI, RAG, agentic AI, and predictive models, and guide their deployment into production.
  • Serve as a trusted technical partner across groups and projects, providing solution architecture and weighing options on technical feasibility, effort, and performance targets.
  • Translate business and customer needs into technical requirements, and frame technical options and trade-offs so leaders and stakeholders can make informed decisions that line up with business outcomes.
  • Lead the technical evaluation of new AI technologies and vendors, judging architectural fit, capability, and integration approach.
  • Prototype and validate advanced AI approaches to prove out architectural direction and de-risk initiatives before teams commit to them.
  • Run architecture and design reviews across teams, surfacing key trade-offs and keeping decisions transparent and sound.
  • Set and evolve AI engineering standards, including model integration, data architecture, LLMOps, AgentOps, and AI development best practices from frameworks such as NIST RMF, CHAI, OWASP, etc.
  • Serve as a lead mentor regarding enterprise AI Trust & Safety best practices from: auto-inherited controls and guardrails based on AI solution type and risk level, to automated evals and testing in CI/CD, to operational monitoring and drift detection, to issue and incident response, to data-driven continuous improvement of AI solutions. Ensure the necessary technical components are designed-in and operationally effective to meet anti-bias, accuracy, transparency, explainability, safety, and regulatory compliance.
  • Mentor engineers and raise the technical bar, building a team culture of collaboration and steady learning.
  • Keep current with new AI technologies and frameworks and turn trends into practical strategies for the teams you support.

Qualifications:

Basic Requirements:

  • Bachelor's degree in Engineering, Computer Science, or a related field, or equivalent experience
  • 8+ years of related, progressive software, data, or AI/ML engineering experience
  • 4+ years in a lead and/or senior engineering role with a focus on leading and mentoring engineers to deliver software products
  • 3+ years of hands-on machine learning / AI engineering experience
  • Proven experience architecting and delivering solutions across multiple technical domains, such as APIs and microservices, systems integration and event-driven architectures, AI/ML engineering, data engineering and analytics, and core software engineering (cloud-native applications, distributed systems)

Preferred Qualifications:

  • 3+ years developing and implementing AI solutions in a healthcare setting
  • Experience designing production AI/ML applications using big-data technologies, cloud platforms (AWS, Azure, GCP), and data pipeline orchestration
  • Experience working in the SVPG framework or a substantially similar outcomes-driven product operating model

Surescripts embraces flexibility through its Flexible Hybrid Work model for most positions. This model allows employees to work virtually while still utilizing our offices as collaboration centers. With alignment and agreement from your leadership, you can come and go from the office as needed.

To be considered for employment, applicants must have a valid U.S. work authorization allowing work without restrictions with Surecripts in the U.S. At this time, we are unable to provide support or provide sponsorship for immigration benefits such as work visas. Additionally, we do not participate in academic training programs or work-study programs through an academic institution that require employer endorsement of F-1/CPT or F-1/STEM.

Why Wait? Apply Now


We're a midsize company. This means you're not just another employee ID number. Here, you can build real relationships and feel supported by truly awesome people with diverse backgrounds and talents in an innovative and collaborative work culture. We strive to create an environment where you can be yourself, share your ideas and work your way. We offer opportunities for employee development, as well as competitive compensation packages and extensive benefits.

At Surescripts, base pay is one part of our Total Rewards Package (which may also include bonus, benefits etc.) and is determined within a range. The base pay range for this position is $187,500 - $229,100 per year. Your base pay may vary within or outside of this range depending on a number of factors, including (but not limited to) your qualifications, skills, experience, and location.


Benefits include, but are not limited to, comprehensive healthcare (including infertility coverage), generous paid time off including paid childbirth and parental leave and mental health days, pet insurance, and 401(k) with company match and immediate vesting. To learn more, review the Keep You and Yours Healthy, Balancing Work and Life, and Where Talent Takes Shape links under the Better Benefits. Better Work. Better Life section of our careers site.

Physical and Mental Requirements

While performing duties of this job, an employee may be required to perform any, or all of the following: attend meetings in and out of the office, travel, communicate effectively (both orally and in writing), and be able to effectively use computers and other electronic and standard office equipment with, or without, a reasonable accommodation. Additionally, this job requires certain mental demands, including the ability to use judgement, withstand moderate amounts of stress and maintain attention to detail with, or without, a reasonable accommodation.

Surescripts is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate on the basis of race, color, religion, age, national origin, ancestry, disability, medical condition, marital status, pregnancy, genetic information, gender, sexual orientation, parental status, gender identity, gender expression, veteran status, or any other status protected under federal, state, or local law.