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Ai Rag Jobs in Kentucky (NOW HIRING)

$152K - $220K/yr

Use and adapt existing VLMs, LLMs, generative AI, RAG architectures, and agents to solve complex construction site challenges. * Lead data curation and conduct rigorous data quality assessments to ...

$46.50 - $61.25/hr

Architect enterprise-scale Generative AI solutions leveraging LLMs, embeddings, and retrieval-augmented generation (RAG) pipelines. * Design and implement scalable AI microservices and APIs ...

$152K - $220K/yr

Use and adapt existing VLMs, LLMs, generative AI, RAG architectures, and agents to solve complex construction site challenges. * Lead data curation and conduct rigorous data quality assessments to ...

The successful candidate will manage high-risk and technically complex AI initiatives spanning generative AI, RAG and chatbot solutions, predictive models, document processing, fraud detection ...

RAG, Document Intelligence, and AI Platform Patterns: * Implement Retrieval-Augmented Generation (RAG) pipelines, document intelligence workflows, structured extraction workflows, and contextual ...

$125 - $150/hr

Build and integrate Graph RAG and Agentic RAG solutions for enterprise knowledge retrieval and reasoning. * Develop AI-powered solutions using LangGraph and LangChain. * Design and implement ...

$77K - $105K/yr

The Senior AI/ML Engineer helps move AI from consultant-led pilots to a sustainable internal ... Implement LLM and RAG solutions grounded in governed One Lake data, using the Model Context ...

$45 - $60/hr

Develop Retrieval-Augmented Generation (RAG) workflows and integrate vector databases as needed * Create and deploy containerized AI applications within Kubernetes and OpenShift environments

Architect scalable AI platforms leveraging LLMs, RAG pipelines, vector databases, and multi‑agent orchestration frameworks (LangGraph, AutoGen, Semantic Kernel). * Design API‑first architectures ...

Architect scalable AI platforms leveraging LLMs, RAG pipelines, vector databases, and multi‑agent orchestration frameworks (LangGraph, AutoGen, Semantic Kernel). * Design API‑first architectures ...

LLM Engineering Expertise - Deep knowledge of prompt crafting, RAG, LLMs, multi-agent systems, and real-world AI integration. * Hands-On Production Experience - At least 1 year working with LLM-based ...

RAG * AWS Job Summary Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you'll ...

$40.25 - $53/hr

Support integration of generative AI, RAG, predictive analytics, document processing, and other AI services into enterprise applications. * Analyze user requirements, information needs, system flows ...

# Agentic AI EngineerBenchlingSan Francisco, United StatesPosted 8 Aug 2026Benchling is looking for a ... Experience with RAG and vector databases* Strong systems design and enterprise security ...

We help enterprises leverage cutting-edge AI technologies, particularly Microsoft 365 Copilot and ... Experience building RAG (Retrieval‑Augmented Generation) systems with vector databases and ...

New

$46.50 - $61.25/hr

The Gen AI Architect will leverage advanced Generative AI models and Azure OpenAI services to ... Lead the integration of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG ...

Deploy and manage GenAI solutions such as chatbots, RAG applications, and predictive analytics tools. * Operationalize LLMs and AI agents, including prompt orchestration, chaining, and fine-tuning.

Role Overview We are seeking a highly skilled AI Developer with a strong backend and machine ... RAG & Context-Aware Systems * Design and implement end-to-end Retrieval-Augmented Generation (RAG ...

... RAG frameworks, token optimization, and MCP server concepts.This individual should be able to ... AI Architecture & Enablement • Design and support AI-enabled analytics use cases using Claude ...

$126K - $165K/yr

Apply RAG and related techniques to improve the accuracy, reliability, and usefulness of AI-generated outputs. * Build and support internal data-driven tools, dashboards, and the underlying ...

New

Showing results 21-40

Ai Rag information

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 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 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 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 are popular job titles related to Ai Rag jobs in Kentucky?

For Ai Rag jobs in Kentucky, the most frequently searched job titles are:

What cities in Kentucky are hiring for Ai Rag jobs?

Cities in Kentucky with the most Ai Rag job openings:

Infographic showing various Ai Rag job openings in Kentucky as of September 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.

$152K - $220K/yr

Other

Posted 10 days ago


Job description

San Francisco, CA (Hybrid) or United States (Remote)

We are revolutionizing construction site documentation through 360° video capture, computer vision, and AI-driven insights. Our platform enables intuitive navigation of job sites,facilitatesseamless collaboration between field and office teams, and integrates with industry-leading project management tools.

As an AI/ML Engineer, you will leverage our extensive data lake to architect and deploy cutting-edge machine learning models that turn raw sitecaptures intoactionable intelligence. You will develop modern AI-driven solutions to provide customers with seamless, data-rich insights for enhanced jobsite understanding and collaboration. By building andoptimizinghigh-performance ML pipelines, you will play a critical role in scaling our platform’s capabilities and ensuring our systemremainsa leader in construction technology innovation.

Whatyou’llbe doingThe primary responsibilities for our next AI / ML Engineer will be to:
  • Demonstrateproficiencyin machine learning frameworks and apply them to develop robust AI solutions.
  • Use and adapt existing VLMs, LLMs, generative AI, RAG architectures, and agents to solve complex construction site challenges.
  • Lead data curation and conduct rigorous data quality assessments to prepare datasets for continuous, automated model updates and improvements.
  • Collaborate within an agile, multifaceted team to deploy solutions in a cloud environment, enabling fast prototyping and iteration.
  • Take proactive ownership of your assigned components, from conception through to production deploymentand monitoring.
AtFieldwire,we’relooking for our nextAI / ML Engineerto have the following skills and experiences
  • Ideally an MSc or Ph.D. in a related technical discipline.
  • Proven technicalexpertisedemonstratedthrough a portfolio of projects where you have built and deployed AI/ML solutions or products.
  • Strong background in Computer Vision (CV), Core Deep Learning, and Neural Architectures.
  • Experience with modern AI/ML development, such as:
    • Computer Vision & Perception: Experience developing and deploying advanced vision models for detection, segmentation, and classification to interpret complex visual data.
    • Multimodal Systems: Ability to integrate and align vision, language, and other sensor data to createintelligent, context-aware applications.
    • Spatial Intelligence: Familiarity with 3D scene understanding, reconstruction, or geometry-based AI techniques.
  • Proficiencyin modern deep learning frameworks and production-grade programming.
  • Experienceoptimizingmodels for performance and efficiency, particularly for resource-constrained environments.
  • Understandingofdeployment pipelines and model optimization for diverse hardware targets.
  • Highly Motivated & Adaptable: You thrive in dynamic environments. When challenges pop up, you’rethe firstto stepin, adapt, and solve them.
  • Collaborative Team Player:You’rea natural team player who supports your peers—the kind of hero who steps in exactly when the team needs it most.
  • Clear Communicator: You excel at bridging the gap between complex technical logic and actionable team insights.
  • Drive: You approach technical hurdles with the focused determination of a main character in a classic training arc, always ready to power up, break through limits, and deploy your best work.
Compensation:

The estimated pay ranges for this role are as follows: $152,000- $220,000

The salary rangerepresentsthe low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors such as your skills,qualificationsand experience. In addition to thesalaryyou may be eligible foracorporate bonus which can range up to30%.

WhyFieldwire?

The field-first construction platform for lessbusyworkand more building. Trusted on 4M+ projects worldwide,Fieldwireby Hilti gives crews reliable access to plans, tasks, and updates on one simple platform. It unites the field and office around a single, transparent source of truth, keeping teams aligned from start to finish. Designed for easy adoption, crews gain real-time visibility into progress, clear ownership of work, and the context to make confident decisions. As part of the Hilti Group,Fieldwirecombines deep constructionexpertisewith modern digital innovation to deliver better outcomes on every job. Learn more at Fieldwire.com.

Where is the joblocated?

This role is fully remote within the United States. Our headquarters are based in beautiful San Francisco and our office is centrally located right off of Embarcadero Bart station.

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Fieldwireis proud to be an Equal Opportunity Employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteranstatusor any other characteristic protected by law.

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