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Retrieval Augmented Generation Rag Jobs in Ohio (NOW HIRING)

Engineer

Cleveland, OH · On-site

$90K - $120K/yr

... Retrieval-Augmented Generation (RAG), prompt engineering, summarization, and intent classification techniques. • Integrate AI solutions with enterprise applications, ITSM tools, and business data ...

Senior AI/ML Software Engineer

Cincinnati, OH · On-site

$117K - $155K/yr

Build and optimize Retrieval-Augmented Generation (RAG) architectures using vector databases, semantic search, Azure AI Search, and enterprise knowledge repositories. * Develop and manage Agentic AI ...

Technical Specialist-App Development

Kettering, OH · On-site

$45 - $58.25/hr

Implement Retrieval-Augmented Generation (RAG) and Agentic AI patterns, autonomously connecting AI systems with internal enterprise data and external APIs. * Database & Storage: Architect and manage ...

$79.64 - $125.14/hr

Idealerweise hast du Kenntnisse im Umfeld von AI-Agenten, Retrieval-Augmented Generation (RAG), Vektordatenbanken und modernen KI-Architekturen. * Deine strukturierte Arbeitsweise sowie Freude daran ...

New

$70 - $100/hr

Das ist kein generischer Chatbot, sondern ein präzises Retrieval-Augmented Generation (RAG) System, das ausschließlich auf den verifizierten Inhalten unseres Klienten basiert. Aufgaben RAG-Pipeline ...

Sr. Machine Learning Engineer

Cincinnati, OH · On-site

$100K - $137K/yr

... Retrieval-Augmented Generation (RAG), vector databases, and modern AI development frameworks. · Strong understanding of machine learning model development, feature engineering, model evaluation ...

Senior Machine Learning Engineer

Cincinnati, OH · On-site

$100K - $137K/yr

Hands-on experience developing and deploying Generative AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and modern AI development ...

Experience with Generative AI and LLM technologies, including LLM deployment, Retrieval-Augmented Generation (RAG), prompt orchestration, model governance and guardrails, and cost optimization ...

Experience with Generative AI and LLM technologies, including LLM deployment, Retrieval-Augmented Generation (RAG), prompt orchestration, model governance and guardrails, and cost optimization ...

In this role, you will apply foundational knowledge of machine learning, neural networks, Transformer architectures, large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI ...

Showing results 21-40

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Senior AI Engineer / Generative AI Engineer

Technumen

Columbus, OH • On-site

$100K - $138K/yr

Contractor

Re-posted 6 days ago


Job description

Senior AI Engineer / Generative AI Engineer
Alpharetta, GA & Columbus, OH (w2/1099 only)
 
Job Description:

We are looking for a talented Senior AI Engineer to design, build, and deploy AI-powered applications and developer tooling. The ideal candidate has hands-on experience with Generative AI, LLMs, AI agents, and modern software engineering. This role involves building production-ready AI solutions, rapidly prototyping new ideas, and collaborating with engineering and product teams.

Responsibilities:
  • Design and develop AI-powered applications using Large Language Models (LLMs)
  • Build AI agents, copilots, and workflow automation solutions
  • Integrate Claude, OpenAI, or other foundation models into enterprise applications
  • Develop scalable backend services using Python and TypeScript
  • Build APIs and AI microservices
  • Implement Retrieval-Augmented Generation (RAG) solutions
  • Create prompt engineering strategies and evaluation pipelines
  • Build developer productivity tools using AI
  • Work with CI/CD pipelines and cloud deployment
  • Collaborate with product managers and engineering teams to deliver AI-enabled features
  • Optimize AI applications for performance, security, and scalability
Required Skills:
  • 7+ years of software engineering experience
  • Strong experience with Python and TypeScript
  • Experience integrating Claude, OpenAI, Gemini, or other LLM APIs
  • Hands-on experience building AI-powered applications
  • Experience with Prompt Engineering
  • Knowledge of AI agents and agent orchestration frameworks
  • REST API and microservices development
  • Git, Docker, CI/CD
  • Cloud experience (AWS, Azure, or GCP)
Preferred Skills:
  • LangChain
  • LangGraph
  • LlamaIndex
  • MCP (Model Context Protocol)
  • Vector Databases (Pinecone, Weaviate, Chroma, Milvus, pgvector)
  • RAG architecture
  • FastAPI
  • React
  • Kubernetes
  • Terraform
  • AI evaluation frameworks
  • Observability tools
  • Knowledge of secure AI development and AI guardrails