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Rag Engineer Jobs in Ohio (NOW HIRING)

AI Engineer Location : Cincinnati, OH (Onsite) Job Responsibilities ... Build and deploy LLM-based applications, agents, and RAG solutions using LangChain/ LangGraph.

Engineer

Cleveland, OH · On-site

$90K - $150K/yr

AI Developer Must-Have 1. Generative AI / LLMs 2. Python Programming 3. Prompt Engineering 4. RAG Architecture 5. AI/ML Concepts 6. REST APIs 7. SQL 8. Cloud Platforms (AWS/Azure) 9. Git, CI/CD 10. ...

Engineer

Cleveland, OH · On-site

$90K - $120K/yr

AI Developer Must-Have 1. Generative AI / LLMs 2. Python Programming 3. Prompt Engineering 4. RAG Architecture 5. AI/ML Concepts 6. REST APIs 7. SQL 8. Cloud Platforms (AWS/Azure) 9. Git, CI/CD 10. ...

You'll build LLM integrations, agents, and RAG pipelines, treat prompt engineering as a code discipline, and make systems reliable through evaluation, guardrails, and solid testing. Whether you're ...

Senior AI Engineer

Macedonia, OH · On-site

$94K - $129K/yr

Our team builds enterprise‑grade AI applications, including RAG systems, agentic workflows, and ... Lead AI engineers on engagements: if needed to have ability to set tasks, review work, give ...

... RAG (Retrieval-Augmented Generation) Must Have Technical/Functional Skills • Must have hands-on ... programming experience in Python with strong coding and debugging skills. • Must have experience ...

Senior AI Engineer

Mason, OH · On-site

$98K - $134K/yr

... RAG pipelines over enterprise data using embeddings and vector databases • Build multi-step, tool ... including prompt engineering and orchestration • Proven experience with RAG architectures ...

Lead AI Engineer - Observability

Cincinnati, OH · On-site

$98K - $129K/yr

Retrieval-Augmented Generation (RAG) architectures * Prompt engineering techniques * Agentic AI workflows and orchestration * Build intelligent systems using frameworks such as LangChain, LangGraph ...

Lead AI Platform Engineer

Cincinnati, OH · On-site

$98K - $129K/yr

Retrieval-Augmented Generation (RAG) architectures * Prompt engineering techniques * Agentic AI workflows and orchestration * Build intelligent systems using frameworks such as LangChain, LangGraph ...

Agentic AI, MCP, and Graph/RAG architectures * Gen AI Framework (LangChain, LlamaIndex, Amazon ... Python programming (NumPy, Pandas, Matplotlib, Boto3) * Automated testing frameworks (Ragas ...

Automation Engineer

Cleveland, OH · On-site +1

$100K - $125K/yr

RAG pipelines, LLM integrations, and prompt engineering where the problem genuinely calls for them, alongside traditional integration and python scripting when those serve better. You'll own the ...

Automation Engineer

Cleveland, OH · On-site

$100K - $125K/yr

RAG pipelines, LLM integrations, and prompt engineering where the problem genuinely calls for them, alongside traditional integration and python scripting when those serve better. You'll own the ...

Design and implement RAG and embedding-based capabilities for enterprise knowledge access and ... Establish engineering best practices for continuous optimization of agentic systems * Stay current ...

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Showing results 1-20

Rag Engineer information

See Ohio salary details

$56.6K

$86K

$145.9K

How much do rag engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for rag engineer in Ohio is $86,048.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $99,800.00 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 cities in Ohio are hiring for Rag Engineer jobs?

Cities in Ohio with the most Rag Engineer job openings:

Infographic showing various Rag Engineer job openings in Ohio as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $86,048 per year, or $41.4 per hour.

Tech Lead / Lead Architect - RAG & Agentic AI Urgent Need

Columbus, OH • On-site

$51.50 - $70.75/hr

Other

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

Tech Lead / Lead Architect - RAG & Agentic AI

Location: Columbus, OH / Wilmington, DE - 3 days onsite role

Long Term Project

Strong financial and banking domain experience required.

Role Summary

Lead architecture, design, and delivery of Agentic AI and RAG-based solutions, partnering with customers and internal teams to build scalable, secure, and high-impact AI systems.

Must-Have
  • Strong experience in RAG pipelines, embeddings, vector DBs, LLM orchestration, and prompting techniques.
  • Hands-on expertise in AWS (Lambda, API Gateway, Bedrock, S3, OpenSearch, IAM, VPC, Secrets Manager).
  • Ability to design end-to-end AI architecture and build PoCs before committing solutions to customers.
  • Deep understanding of AI guardrails (toxicity, hallucination control), data privacy, and cloud security patterns.
  • Proven ability to lead from the front, mentor teams, and own delivery under tight timelines and high visibility.
  • Strong customer communication skills - ability to explain architecture, trade-offs, and risks clearly.
  • Experience handling model evaluation, observability, performance tuning, and cost optimization in production AI systems.
  • Expertise in API design, microservices integration, and event-driven architectures for AI systems.
Good-to-Have
  • Experience with Agentic AI frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel, etc.).
  • Exposure to marketing domain use cases (campaign optimization, personalization, analytics, insights).
  • Familiarity with multi-agent orchestration, tool usage (MCP), and human-in-loop workflows.
Screening Checklist (Quick Evaluation for Interviews)

Technical Fit:

  • Can clearly explain a RAG architecture (data ingestion -> embedding -> retrieval -> generation)
  • Has built or deployed production AI/LLM solutions (not just POCs)
  • Understands agent lifecycle, orchestration, and tool integrations
  • Demonstrates AWS architecture + security (IAM roles, network isolation, secrets)
  • Knows prompt engineering + evaluation + guardrails implementation

Architect & Leadership Fit:

  • Has led architecture/design discussions with customers
  • Can drive PoC -> production transition independently
  • Shows ownership mindset (decision-making without dependency)
  • Can mentor/coach developers and review designs/code

Communication & Behavioral Fit:

  • Explains complex AI topics in simple, structured way
  • Asks insightful, strategic questionsDemonstrates ability to handle ambiguity and pressure
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