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Ai Rag Jobs in Ohio (NOW HIRING)

Implement RAG and document intelligence patterns (ingestion, chunking, embeddings, vector/hybrid ... AI Engineer Consultant Our Deloitte Human Capital team transforms technology platforms, drives ...

Implement RAG and document intelligence patterns (ingestion, chunking, embeddings, vector/hybrid ... AI Engineer Consultant Our Deloitte Human Capital team transforms technology platforms, drives ...

Implement RAG and document intelligence patterns (ingestion, chunking, embeddings, vector/hybrid ... AI Engineer Consultant Our Deloitte Human Capital team transforms technology platforms, drives ...

$58 - $75/hr

Employment type - Fulltime Job Title - AI ML Security Architect Job Location - Toronto ON Duration ... GenAI, Security, LLM, RAG - - Security Architect to assure enterprise security architecture with a ...

Google AI Lead Architect

Cleveland, OH

$53.50 - $73.50/hr

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

Job Responsibilities * Build AI-powered applications that deliver agentic and generative AI ... Develop and tune Retrieval-Augmented Generation (RAG) pipelines over unstructured content such as ...

Job Responsibilities * Build AI-powered applications that deliver agentic and generative AI ... Develop and tune Retrieval-Augmented Generation (RAG) pipelines over unstructured content such as ...

Google AI Lead Architect

Cincinnati, OH

$53 - $72.75/hr

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

Google AI Lead Architect

Columbus, OH

$53.25 - $73.25/hr

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

Gen AI Engineer Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days ... RAG architecture design and implementation. * Advanced cloud infrastructure (AWS EKS/ECS, GCP GKE ...

Gen AI Engineer Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days ... RAG architecture design and implementation. * Advanced cloud infrastructure (AWS EKS/ECS, GCP GKE ...

... RAG/assistants, and agentic workflow orchestration). * Be the senior business partner for Claims ... Accountable for AI governance and compliance-by-design across the Claims portfolio, partnering with ...

Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days per week ... RAG architecture design and implementation. * Advanced cloud infrastructure (AWS EKS/ECS, GCP GKE ...

AI Engineer Senior Consultant

Columbus, OH · Hybrid

$100K - $138K/yr

Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ... AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ...

AI Engineer Senior Consultant

Cincinnati, OH · Hybrid

$100K - $137K/yr

Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ... AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ...

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Ai Rag information

What are the key skills and qualifications needed to thrive as an AI Researcher, and why are they important?

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 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 AI RAGs?

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 some common challenges faced by AI RAG (Retrieval-Augmented Generation) 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 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 cities in Ohio are hiring for Ai Rag jobs? Cities in Ohio with the most Ai Rag job openings:
AI Developer I

Full-time

Posted 2 days ago


Western & Southern Financial Group rating

8.9

Company rating: 8.9 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

46th of 261 rated insurance


Job description

Overview
OverviewWe are seeking a skilled and forward-thinking full-stack developer to join our GenAI development team and support the advancement of a Retrieval-Augmented Generation (RAG)-based platform that supports a variety of knowledge tasks. This system is a cornerstone of our internal GenAI innovation efforts-designed to capture, store, and generate knowledge from a wide range of sources including documents, databases, web content, and data services. The ideal candidate will have some experience and/or strong academic background in building generative AI applications using APIs to large language models (LLMs) such as OpenAI GPT, Llama, Gemma, and similar. Full-stack development is highly desirable, with exposure to front end and backend application code development, particularly in Python, SQL, and React. Deep familiarity with LLM prompting best practices is also expected. This role involves close collaboration with both technology and business stakeholders across diverse functions. A can-do attitude, strong communication skills, and a passion for problem-solving are essential. We view the advancement of AI as critical to enhancing employee experience, improving productivity, and driving business growth across the enterprise.
Responsibilities
What you will do:
  • Building the components of RAG-based applications, end-to-end.
  • Working in Agile methodology within cloud-based development environments such as Azure or AWS
  • Curious mindset to stay current on rapidly changing landscape of LLM models and their surrounding APIs and frameworks
  • Working with technology and business teams to understand business challenges and ways that Generative AI can assist
  • Building and maintaining enterprise-grade automation with high security, performance, and resiliency
  • Performs other duties as assigned.
  • Complies with all policies and standards.

Qualifications
  • Bachelor's Degree - Preferred
  • One or more years of experience or strong academic exposure to AI, NLP, or ML systems - Required
  • Proficiency in programming languages, such as Python, Javascript (full stack) , or C# - Required
  • Foundational knowledge of data structures, algorithms, and databases - Required
  • Experience with front end development - Preferred
  • Proficiency with AI frameworks such as TensorFlow, PyTorch, or Hugging Face - Required
  • Ability to work independently and collaboratively in a fast-paced environment - Required
  • Strong problem-solving and communication skills - Required
Work Setting/Position Demands:
  • Works in an office setting and remains in a stationary position for long periods of time while working at a desk, on a computer or with other standard office equipment, or while in meetings.
  • Requires the ability to verbally communicate and exchange accurate information to customers and associates on a regular basis.
  • Requires visual acuity to read and interpret a variety of correspondence, procedures, reports and forms via paper and electronic documents, visual inspection involving small defects; small parts, and/or operation of machinery (including inspection); using measurement devices continuously. Visual acuity is required to determine accuracy, neatness, and thoroughness of work assigned.
  • Requires the ability to prepare written correspondence, reports and forms using prescribed formats and conforming to rules of punctuation, grammar, diction, and style on a regular basis.
  • Requires the ability to apply principles of logical thinking to define problems, collect data, establish facts, and draw valid conclusions
  • Performs substantial movement of wrists, hands, and fingers for continuous computer work.
  • Extended hours required during peak workloads or special projects/events.
Travel Requirements:
  • None