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Rag Engineer Jobs in Kentucky (NOW HIRING)

$110 - $170/hr

Build and deploy AI-powered automations, retrieval-augmented generation (RAG) applications, intelligent agents, copilots, and internal engineering tools. * Develop solutions that streamline permit ...

New

$140 - $200/hr

Architect and build agentic AI solutions -- including autonomous workflows, tool-calling agents, RAG pipelines, and LLM integrations -- that are used daily by WellSky engineers and the Solutions ...

New

$140 - $190/hr

Experience deploying LLMs into real-world environments, including RAG pipelines, API orchestration ... Strong programming in Python, with frameworks like PyTorch/TensorFlow, and libraries such as ...

New

$134 - $163/hr

Your engineering judgment about what to build and how to build it will shape how Prime Medicine ... Ship AI-powered and agentic capabilities such as RAG over internal scientific data, agentic ...

New

$180 - $220/hr

Job Title Founding Engineer - AI Salary $200k+ + Equity Company Description Muro AI is a San ... You'll build production-grade AI agents and RAG pipelines that process massive, messy construction ...

Posted today

$170 - $200/hr

Design and implement RAG pipelines using BigQuery and Vertex AI Engine for knowledge grounding and ... Engineer scalable, secure, compliant and production-grade AI fabric and AI agent workflows using ...

Posted today

$137 - $234/hr

Summary As a key member of our AI Engineering team who builds, ships, and owns production-grade ... RAG, agents, tool use, orchestration) to solve real business problems in a highly regulated ...

Posted today

$170 - $250/hr

Hands-on experience implementing GenAI systems, LLM agents, or RAG architectures, with strong knowledge of context engineering, reliability frameworks, guardrails, and evaluation methodologies for ...

New

$137 - $234/hr

Summary As a key member of our AI Engineering team who builds, ships, and owns production-grade ... RAG, agents, tool use, orchestration) to solve real business problems in a highly regulated ...

Posted today

$180 - $240/hr

... founding engineer to join their Intelligence Engineering & Enablement team to build agentic AI ... Experience with RAG and vector databases* Strong systems design and enterprise security ...

New

$106K - $127K/yr

Prepare governed, discoverable, and high-quality data that powers LLM, RAG, vector-search ... Engineering excellence: Develop, test, deploy, monitor, and document production-grade data ...

$196 - $368/hr

We are now looking for a Senior Platform Engineer, Design Automation. You will join a small team ... Apply LLMs, RAG, agents, and automation to accelerate debugging, recommendations, and operational ...

Posted today

$90 - $130/hr

Embedded AI Engineer - IT Company: Gigapower LLC Dept./Org.: Trans./Strategy Location: Virtual ... Build and deploy AI-powered automations, RAG applications, agents, copilots, and internal ...

New

$180 - $245/hr

You possess a deep understanding of prompt engineering, fine-tuning, RAG architectures, and orchestrating multi-agent workflows. * Developer-First Mindset: You are passionate about Developer ...

New

Senior AI Applied Engineer

Louisville, KY

$100K - $137K/yr

Design and implement retrieval-augmented generation (RAG) systems using embeddings, vector ... Strong programming skills in Python and/or TypeScript/JavaScript. * Experience debugging ...

New

Senior AI Applied Engineer

Louisville, KY

$100K - $137K/yr

Design and implement retrieval-augmented generation (RAG) systems using embeddings, vector ... Strong programming skills in Python and/or TypeScript/JavaScript. * Experience debugging ...

New

Showing results 21-40

Rag Engineer information

See Kentucky salary details

$51.7K

$78.6K

$133.3K

How much do rag engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for rag engineer in Kentucky is $78,611.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $91,200.00 per year, depending on experience, location, and employer.

What is the difference between Rag Engineer vs Textile Technician?

AspectRag EngineerTextile Technician
Required CredentialsEngineering degree, technical certificationsDiploma or degree in textiles or related field
Work EnvironmentFactories, manufacturing plants, R&D labsTextile mills, production facilities, quality control labs
Industry UsageDesigning and improving rag production processesMonitoring textile quality, testing fabrics

While both roles involve working within the textile industry, a Rag Engineer primarily focuses on the engineering aspects of rag production, process optimization, and machinery, whereas a Textile Technician concentrates on fabric testing, quality control, and ensuring textile standards are met. The roles often overlap in industry settings but differ in technical focus and responsibilities.

How to become a rag engineer?

To become a rag engineer, you typically need a bachelor's degree in engineering, materials science, or a related field. Relevant skills include knowledge of manufacturing processes, quality control, and proficiency with industry tools and equipment; certifications in quality management or safety can also be beneficial. Gaining experience through internships or entry-level positions in manufacturing environments is important for career advancement.

What are popular job titles related to Rag Engineer jobs in Kentucky?

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

What cities in Kentucky are hiring for Rag Engineer jobs?

Cities in Kentucky with the most Rag Engineer job openings:

Infographic showing various Rag Engineer job openings in Kentucky as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $78,611 per year, or $37.8 per hour.

$110 - $170/hr

Other

Posted 3 days ago

New


Job description

Embedded AI Engineer – Engineering

Company: Gigapower LLC
Dept./Org.: Trans./Strategy
Location: Virtual (Remote)
Position Type: PW

Who We Are

Gigapower is building next-generation fiber broadband infrastructure that expands high-speed connectivity to communities across the United States. We are committed to innovation, operational excellence, and leveraging technology to deliver smarter, faster, and more scalable solutions. As an AI-forward organization, we encourage employees at every level to embrace emerging technologies, continuously expand their AI capabilities, and actively incorporate AI tools into their daily work to improve productivity, decision-making, collaboration, and business outcomes.

Position Summary

The Embedded AI Engineer serves as the dedicated AI partner for Gigapower\'s Engineering teams. This role is responsible for identifying, developing, and deploying AI-powered solutions that improve engineering workflows across permit design, high-level design (HLD), low-level design (LLD), network planning, and engineering operations.

Working directly with fiber network engineers, designers, and permitting teams, the Embedded AI Engineer will uncover high-value opportunities to automate manual processes, improve design quality, accelerate project delivery, and enhance decision-making through AI-powered solutions. The ideal candidate combines strong technical expertise with the ability to build trusted relationships across engineering teams and translate complex operational challenges into practical AI capabilities.

This position offers a unique opportunity to own AI strategy and execution for a critical technical function while helping shape the future of broadband network design and engineering at Gigapower.

Key Responsibilities
  • Partner with Engineering, Design, and Permitting teams to understand workflows, challenges, and opportunities for AI-driven improvement.
  • Identify, prioritize, and deliver AI solutions that improve engineering productivity, design quality, permitting efficiency, and project execution.
  • Build and deploy AI-powered automations, retrieval-augmented generation (RAG) applications, intelligent agents, copilots, and internal engineering tools.
  • Develop solutions that streamline permit package creation, engineering documentation, design reviews, and standards compliance.
  • Create AI-enabled capabilities that assist with HLD and LLD development, engineering analysis, and network planning activities.
  • Collaborate with Data Engineering and AI teams on enterprise-scale solutions involving shared platforms, analytics, and operational data.
  • Coach engineering stakeholders on effective use of AI tools including Microsoft Copilot, Claude, and ChatGPT.
  • Measure solution adoption, quality, and business impact, continuously improving capabilities based on stakeholder feedback.
  • Partner with engineering leadership to identify scalable AI opportunities across network design and deployment activities.
  • Utilize AI-powered tools to improve personal productivity and accelerate solution development.
Qualifications
  • Bachelor\'s degree in Computer Science, Data Science, Engineering, Information Systems, or a related discipline, or equivalent practical experience.
  • 1 to 3 years of experience developing software, analytics, automation, or AI-based solutions.
  • Hands-on experience building applications utilizing Large Language Models (LLMs), including prompting, retrieval-augmented generation (RAG), AI agents, automation workflows, or tool integrations.
  • Strong proficiency in Python.
  • Experience developing solutions from concept through deployment and user adoption.
  • Working knowledge of SQL and experience working with structured datasets.
  • Strong communication skills with the ability to explain technical concepts to non-technical audiences.
  • Demonstrated ability to operate independently and manage competing priorities in a fast-paced environment.
  • Strong problem-solving, analytical, and critical-thinking skills.
  • Enthusiasm for learning new technologies and understanding complex business operations.
Preferred Qualifications
  • Experience in fiber engineering, telecommunications engineering, network design, permitting, outside plant (OSP), or broadband infrastructure.
  • Familiarity with high-level design (HLD), low-level design (LLD), fiber routing, network planning, or engineering documentation processes.
  • Working knowledge of SQL and experience with structured, geospatial, or GIS-based datasets.
  • Experience with Azure, Snowflake, cloud-based analytics platforms, or engineering systems.
  • Experience supporting change management, technology adoption, enablement, or training initiatives.
Key Competencies
  • Engineering Process Optimization: Identifies opportunities to improve engineering efficiency, quality, and consistency through technology.
  • AI Solution Development: Designs and delivers practical AI-powered solutions that create measurable business value.
  • Technical Partnership: Builds trusted relationships with engineers, designers, and technical stakeholders to solve complex operational challenges.
  • Problem Solving & Analysis: Applies data-driven thinking and technical expertise to address engineering and network design challenges.
  • Innovation & Automation: Continuously seeks opportunities to eliminate manual work and improve productivity through automation.
  • Communication & Influence: Clearly explains technical concepts, gains stakeholder buy-in, and drives adoption of new capabilities.
  • Learning Agility: Quickly learns new technologies, engineering processes, and business domains to maximize impact.
About Us

Gigapower is building the next generation of broadband infrastructure. Through innovative fiber network deployment and strategic partnerships, we are helping expand high-speed connectivity to communities and businesses across the United States. Our mission is to deliver reliable, scalable, and future-ready broadband solutions that empower economic growth, education, healthcare, and digital innovation.

At Gigapower, we value collaboration, accountability, integrity, and continuous improvement. We are committed to creating an environment where employees can contribute meaningful work, develop professionally, and make a lasting impact on the communities we serve. As we continue to grow, we seek talented individuals who are passionate about excellence and eager to help shape the future of connectivity.

EEO

Gigapower is an Equal Opportunity Employer and is committed to creating a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, national origin, ancestry, citizenship status, age, disability, medical condition, genetic information, sex, pregnancy, sexual orientation, gender identity or expression, marital status, veteran status, military status, or any other characteristic protected by applicable federal, state, or local law.

Gigapower is committed to providing reasonable accommodation to qualified individuals with disabilities and to applicants throughout the recruitment process. If you require assistance or accommodation, please notify a member of our Talent Acquisition team.

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