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Rag Developer Jobs in Kentucky (NOW HIRING)

$140 - $190/hr

This role owns the model-facing layer of our products: retrieval and RAG pipelines, agent planning and orchestration, multi-agent frameworks, and the context engineering that makes AI systems ...

$120 - $190/hr

RAG & Context-Aware Systems * Design and implement end-to-end Retrieval-Augmented Generation (RAG ... Backend & DevOps * Build backend services in Python for ML training and inference workflows. * Work ...

$120 - $160/hr

Lead ServiceNow Developer with strong AI/GenAI expertise1 We are looking for an experienced ... Build and integrate Graph RAG and Agentic RAG solutions for enterprise knowledge retrieval and ...

$90 - $162/hr

As a software developer, you will play a critical role in enhancing our localization efforts ... Add custom data to RAG repositories, develop continuous custom data pipeline. Participate in agile ...

New

$140 - $200/hr

Build and support retrieval-augmented generation (RAG) applications, generative AI solutions, and chatbot services. * Develop AI solutions using Azure OpenAI and comparable other AI services.

$110 - $130/hr

AWS Bedrock, OpenAI GPT-4 API,LangChain, Hugging Face Transformers, RAG pipelines, LLM ... Experience 8 yearsin AI/ML engineering and enterprise Java development. Proventrack recordin ...

$130 - $170/hr

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 ...

New

$90 - $103/hr

GenAI Developer Location: DMV Area (Washington, DC, Maryland, Virginia) Hybrid Role - 1-2 days/wk ... Experience with Retrieval Augmented Generation (RAG) * Experience with vector databases

$112 - $147/hr

Ontology Engineering: Define and maintain formal ontologies, taxonomies, and semantic models that ... Collaborate with data science teams to integrate the knowledge graph with LLMs, RAG (Retrieval ...

$140 - $210/hr

Develop Retrieval-Augmented Generation (RAG) solutions for enterprise use cases. * Develop scalable ... Collaborate with engineering, product, data, and business teams to deliver AI solutions. * Stay ...

$140 - $200/hr

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 ...

$140 - $170/hr

RAG, Document Intelligence, and AI Platform Patterns: * Implement Retrieval-Augmented Generation ... Strong hands-on engineering capability using Python, REST APIs, Azure services, workflow automation ...

$120 - $190/hr

Practical prompt-engineering and RAG experience, and the habit of evaluating rather than eyeballing. * Sound judgment about where AI should and should not be used in an editorial pipeline. Nice to ...

$143 - $286/hr

Included in this are data platforms, enterprise architecture, DevOps, cloud computing, and ... Design, Develop , fine‑tune, and deploy Generative AI models with a focus on RAG frameworks to ...

$150 - $190/hr

... engineering teams to integrate cutting-edge AI technologies. Operating with a high-impact startup ... Architect & Scale Enterprise RAG Infrastructure : Design, build, and optimize robust full-stack ...

New

$120 - $180/hr

Forward Deployed AI Engineer/Anthropic - Data Intelligence-US East Directly uses Claude/Anthropic and RAG workflows; building LLM apps, connectors, and agentic AI - practical AI dev work with rapid ...

New

$120 - $150/hr

... the developer is skilled in one programming language) AI/GenAI Technologies (Secondary ... RAG (Retrieval-Augmented Generation) architecture. * Google ADK, Knowledge of MCP Server etc.

New

$140 - $190/hr

Develop RAG pipelines where applicable to support agent reasoning. * Implement human-in-the-loop ... Strong programming experience in Python. * Experience building LLM-based applications or workflow ...

$150 - $190/hr

The role combines hands-on engineering of data pipelines, RAG/semantic search, LLM integrations, and client-facing consulting to move pilots into secure, production-ready deployments. Role NewRocket ...

New

$180 - $260/hr

... RAG pipelines, MCP backend, and developer tooling that make it work. This role sits within the Global Cluster Engineering organization, where you will develop software that powers distributed ...

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Rag Developer information

What is the difference between Rag Developer vs Textile Technician?

AspectRag DeveloperTextile Technician
CredentialsTypically requires a diploma or degree in textiles or related fieldRequires similar qualifications, often with additional certifications in textile testing
Work EnvironmentFactories, textile mills, production plantsLaboratories, quality control departments, manufacturing facilities
Industry UsageUsed in textile manufacturing to develop and process rags for reuse or recyclingInvolved in testing, quality assurance, and technical support in textile production

Both Rag Developers and Textile Technicians work within the textile industry, often in manufacturing settings. Rag Developers focus on creating and processing recycled rags, while Textile Technicians handle testing and quality control. The roles share similar educational backgrounds and work environments, but their specific responsibilities differ based on their focus within textile production.

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

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

What cities in Kentucky are hiring for Rag Developer jobs?

Cities in Kentucky with the most Rag Developer job openings:

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

$140 - $190/hr

Other

Posted 6 days ago


Job description

Zof AI is seeking an Applied AI Engineer to build product features on top of frontier model APIs. This role owns the model-facing layer of our products: retrieval and RAG pipelines, agent planning and orchestration, multi-agent frameworks, and the context engineering that makes AI systems reliable in production. If you have worked as a GenAI Engineer, LLM Engineer, RAG Engineer, or Algorithm Engineer, this is that discipline at Zof AI. The ideal candidate has shipped LLM-powered features to real users and treats quality, cost, and latency as engineering constraints, not afterthoughts.

Engineering Ā· Mid to Senior Ā· Full-time Ā· On-site Ā· San Francisco, CA

Responsibilities
  • Design and build product features on top of frontier model APIs.
  • Build and tune retrieval and RAG pipelines end to end.
  • Design agent planning, tool use, and multi-agent orchestration.
  • Own prompt and context engineering as a disciplined, tested practice.
  • Wire evals into the development loop so quality is measured, not assumed.
  • Optimize the cost, quality, and latency of AI features in production.
  • Collaborate with product and engineering to ship reliably and fast.
  • Own model-layer systems from design through production.
Requirements
  • Experience shipping LLM-powered features to production.
  • Strong software engineering foundation.
  • Working knowledge of retrieval, RAG, and agent patterns.
  • Fluency with the modern model API and tooling ecosystem.
  • Judgment about quality, cost, and latency trade-offs.
  • Clear written and verbal communication.
  • Comfort operating in a fast-moving environment.
  • Evidence of building high-quality technical work.
Nice to have
  • Experience with multi-agent frameworks or agent orchestration systems.
  • Experience building or using eval harnesses.
  • Experience with TypeScript, Python, Node.js, Postgres, or similar technologies.
  • Experience with fine-tuning or model adaptation.

Deep, hands-on experience building production features on top of LLM APIs is required

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