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Ai Rag Jobs in Ohio (NOW HIRING)

Hudson Manpower

Data Scientist

Cincinnati, OH · On-site

$55 - $60/hr

Develop and integrate Generative AI solutions including RAG, prompt engineering, LLM workflows, fine-tuning, and agentic AI where applicable. * Evaluate emerging AI/ML technologies for production ...

inovex GmbH

ML & AI: mathematische Optimierung, klassisches Machine Learning, MLOps, Generative AI, LLMs, LLMOps, Agentic AI, RAG-Architekturen * Deployment & Delivery: FastAPI, Flask, Docker, Kubernetes, CI/CD ...

SAP SE

$47 - $60.50/hr

Lead solution architecture spanning AI agents, RAG, Knowledge Graphs, MCP, multi-agent systems, enterprise integrations, and cloud-native platforms. * Serve as the primary technical advisor for ...

Valtech

Guide teams in applying Generative AI, Agentic AI, RAG architectures, intelligent automation, and AI-enabled customer experiences. * Evaluate emerging AI technologies, frameworks, and platforms.

K2 Venture Partners LLC

Software Engineer

Westlake, OH · On-site

Build AI-powered features and RAG (Retrieval-Augmented Generation) systems to create intelligent, context-aware applications * Architect data models and implement business logic that captures complex ...

RiseIT Solutions

AI Engineer

Cincinnati, OH · On-site

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

Christoph Kroschke GmbH

$97K - $116K/yr

Du schaffst die Datenbasis für Generative AI, RAG-Lösungen und intelligente Assistenzsysteme Unsere Data Platform: Unsere Datenplattform basiert auf einer modernen Data-Vault-Architektur und wird ...

CMBlu Energy AG

$104K - $137K/yr

You have a genuine affinity for AI across its full breadth - hands‑on with LLMs and generative AI (RAG, agents, MCP, tools like Claude) and a solid grasp of classical machine learning - and you ...

Virtusa

AI Architect

Columbus, OH

Establish standards for prompt engineering, RAG, model selection, and evaluation. Enable self-service AI platforms using cloud ecosystems like Amazon Web Services and Microsoft Azure. Preferred ...

IWConnect

Senior AI Engineer

Macedonia, OH · On-site

$94K - $129K/yr

Our team builds enterprise‑grade AI applications, including RAG systems, agentic workflows, and modern AI‑powered solutions. What you'll do: * Work directly with clients: translate business ...

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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 Ohio?

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

What job categories do people searching Ai Rag jobs in Ohio look for?

The top searched job categories for Ai Rag jobs in Ohio are:

What cities in Ohio are hiring for Ai Rag jobs?

Cities in Ohio with the most Ai Rag job openings:

Ai Rag jobs near you
Infographic showing various Ai Rag job openings in Ohio as of September 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.

Lead Software Engineer - SAP - BTP AI Developer

Columbus, OH • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees
Learn more about JPMorgan Chase & Co.external

$62.25 - $81.25/hr

Other

Re-posted 16 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

Job description

We have an opportunity to impact your career and help deliver AI-enabled SAP Finance solutions on SAP BTP.


As a Lead Software Engineer at JPMorganChase within the Corporate Technology Team, you will help design, build, and deliver secure, scalable SAP BTP AI solutions that support Finance business objectives. This role requires hands‑on SAP FI / S/4HANA Finance experience and the ability to apply SAP BTP AI capabilities to Finance processes, controls, reconciliations, reporting, and financial close.


Job responsibilities

  • Partner with SAP Finance teams to identify and deliver AI use cases across SAP FI, SAP S/4HANA Finance, and SAP BTP.

  • Design SAP BTP AI solutions for Finance processes, including General Ledger, Accounts Payable, Accounts Receivable, Asset Accounting, reconciliations, financial close, controls, and reporting.

  • Develop AI/GenAI capabilities using SAP Business AI, RAG, Joule Skills, and AI agents to support automation, exception handling, document interpretation, and decision support.

  • Translate SAP FI requirements, data structures, integrations, and control needs into clean core-compliant SAP BTP extensibility and integration designs.

  • Validate feasibility, scalability, security, auditability, and business value of SAP Finance AI solutions through proof‑of‑concepts and production‑ready delivery.


Required qualifications, capabilities, and skills

  • Formal training or certification in software engineering concepts and 5+ years of applied software engineering experience.

  • Hands‑on SAP FI / S/4HANA Finance experience is required, including General Ledger, Accounts Payable, Accounts Receivable, Asset Accounting, reconciliations, controls, financial close, or finance reporting.

  • Strong SAP BTP and SAP S/4HANA experience, including clean core extensibility, APIs, OData, REST services, SAP Integration Suite, and secure integration patterns.

  • Experience with ML frameworks, MLOps, and Databricks for AI/GenAI development, deployment, monitoring, and integration with SAP Finance data and SAP BTP services.

  • Ability to translate SAP FI requirements and controls into secure, auditable SAP BTP AI solution designs and implementations.


Preferred qualifications, capabilities, and skills

  • Experience delivering AI, automation, reconciliation, reporting, or exception‑management solutions for SAP Finance.

  • Preferred experience designing, deploying, or operationalizing AI/GenAI solutions using SAP Business AI capabilities, including SAP AI Core, SAP AI Foundation, Generative AI Hub, AI Launchpad, Joule Skills, RAG, or AI agents.

  • Exposure to SAP Finance data models, BAPIs, CDS views, OData services, or Fiori extensibility.

  • Experience integrating SAP Finance data with Databricks or enterprise data platform

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