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Llm Developer Jobs in Ohio (NOW HIRING)

SN Cloud Solutions

Senior AI/ML Engineer

Mason, OH · On-site

Stay ahead of emerging GenAI, LLM/NLM trends, and integrate cutting-edge approaches into enterprise ... AI/ML Engineering: Strong background in vector embeddings, prompt engineering, context engineering ...

UnivEdge Consulting LLC

AI/ML Architect or lead

Mason, OH · On-site

$59.75 - $77.75/hr

Mentor engineering teams, establish best practices, and conduct design/code reviews. * Innovation & Research: Stay ahead of emerging GenAI, LLM/NLM trends, and integrate cutting-edge approaches into ...

CBTS

Architect Network Automation

Cincinnati, OH · On-site

$62.25 - $83.25/hr

Leverage AI/LLM developer tooling responsibly to improve productivity and code quality. Developer Experience & Engineering Standards * Author and maintain coding standards, architectural decision ...

Vertiv Co

AI / ML Platform Engineer

Westerville, OH · On-site

Design, develop, test, and continuously refine prompts and prompt templates for LLM-powered applications, establishing enterprise-wide prompt engineering standards, libraries, and versioning ...

Whiz Global LLC

ML Engineer

Columbus, OH · On-site

ML Engineer (AI/LLM & Cloud) Location: Jersey City, NJ (Hybrid - 3 Days Onsite) OR Columbus, OH (5 Days Onsite) Duration: Contract-to-Hire Job Summary We are seeking a highly experienced ML Engineer ...

Elevance Health

Gen AI Engineer

Mason, OH · Hybrid

LLM development and fine-tuning strategies, best practices, and standards to enhance AI ML model ... engineers for the deployment of machine learning models into production environments, ensuring ...

Flexjet

Director of AI Engineering

Cleveland, OH

Oversee the production deployment of machine learning and LLM-powered applications, including RAG ... DevOps, and Product leadership teams to drive enterprise AI adoption and align technical strategy ...

Flexjet

Director of AI Engineering

Cleveland, OH · On-site

... LLM-powered applications, including RAG solutions, AI copilots, model evaluation frameworks ... DevOps, and Product leadership teams to drive enterprise AI adoption and align technical strategy ...

Hexion, Inc.

AI Applications Developer

OH

Whether you're engineering advanced materials, transforming manufacturing technologies, or leading ... Practical experience with LLM APIs (Azure OpenAI, Anthropic Claude, OpenAI, or Hugging Face) and ...

Hexion, Inc.

AI Applications Developer

OH · On-site +1

Whether you're engineering advanced materials, transforming manufacturing technologies, or leading ... Practical experience with LLM APIs (Azure OpenAI, Anthropic Claude, OpenAI, or Hugging Face) and ...

Flexjet

Director of AI Engineering

Cleveland, OH · On-site

... LLM-powered applications, including RAG solutions, AI copilots, model evaluation frameworks ... DevOps, and Product leadership teams to drive enterprise AI adoption and align technical strategy ...

Elevance Health

Gen AI Engineer

Mason, OH · Hybrid

LLM development and fine-tuning strategies, best practices, and standards to enhance AI ML model ... engineers for the deployment of machine learning models into production environments, ensuring ...

Vertiv Co

Full Stack Developer (React)

Westerville, OH · On-site

The Full Stack Developer will build and maintain both the React frontend and supporting backend ... Basic experience integrating LLM APIs (OpenAI, Azure OpenAI, or equivalent) into web application ...

JP Morgan Chase

Senior Lead AI Security Engineer

Columbus, OH · On-site

$107K - $147K/yr

Build secure LLM/RAG services and ML pipelines that integrate with SIEM/XDR, EDR, SOAR, IAM, ITSM, CMDB, code repos, and cloud telemetry. * Establish engineering standards for secure AI: prompt ...

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Llm Developer information

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$24

$47

$75

How much do llm developer jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for llm developer in Ohio is $47.69, according to ZipRecruiter salary data. Most workers in this role earn between $37.50 and $57.84 per hour, depending on experience, location, and employer.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

What are the key skills and qualifications needed to thrive as an LLM Developer?

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What is the role of a Llm developer?

A Large Language Model (LLM) developer designs, trains, and fine-tunes large-scale AI models for natural language processing tasks. They work with machine learning frameworks, handle large datasets, and optimize models for performance and accuracy, often requiring knowledge of programming languages like Python and tools such as TensorFlow or PyTorch.
What are the most commonly searched types of Llm Developer jobs in Ohio? The most popular types of Llm Developer jobs in Ohio are:
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What cities in Ohio are hiring for Llm Developer jobs? Cities in Ohio with the most Llm Developer job openings:
Llm Developer jobs near you
Infographic showing various Llm Developer job openings in Ohio as of July 2026, with employment types broken down into 85% Full Time, 4% Part Time, 1% Temporary, and 10% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $99,199 per year, or $47.7 per hour.

Senior AI/ML Engineer

SN Cloud Solutions

Mason, OH • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Key Responsibilities

  • Architect and Design: Lead the design of scalable, secure, and high-performance AI/ML systems leveraging Agentic Layer A2A frameworks and MCP Protocols. 
  • Solution Engineering: Drive end-to-end solution development including vector embeddings, prompt engineering, and context engineering for enterprise-grade GenAI applications. 
  • Cloud Deployment: Architect and oversee deployment of AI/ML workloads on Azure Cloud, ensuring compliance, scalability, and cost optimization. 
  • Data Architecture: Design and optimize data pipelines and storage solutions using Azure AI Search, Redis, Cosmos DB, Blob Storage, and Iceberg. 
  • Application Development: Build and manage Azure Functions and Azure Container Apps for microservices-based AI solutions. 
  • Performance & Scalability: Define cloud-native architecture patterns, implement performance tuning, and ensure resilience across distributed systems. 
  • Domain Expertise: Apply deep knowledge of healthcare domain requirements, ensuring solutions meet regulatory standards (HIPAA, GDPR, etc.) and handle sensitive data securely. 
  • Technical Leadership: Mentor engineering teams, establish best practices, and conduct design/code reviews. 
  • Innovation & Research: Stay ahead of emerging GenAI, LLM/NLM trends, and integrate cutting-edge approaches into enterprise solutions. 

Required Skills & Expertise

  • Agentic Layer & Protocols: Hands-on expertise with Agentic Layer A2A frameworks and MCP Protocol for multi-agent orchestration. 
  • AI/ML Engineering: Strong background in vector embeddings, prompt engineering, context engineering, and fine-tuning LLMs. 
  • GenAI & LLM Concepts: Deep understanding of Generative AI, Natural Language Models (NLM), and Large Language Models (LLM). 
  • Programming: Advanced proficiency in Python; exposure to Java/Go is a plus. 
  • Cloud Proficiency: Strong experience with Azure Cloud services, including deployment, monitoring, and scaling. 
  • Databases: Expertise in Azure AI Search, Redis, Cosmos DB; familiarity with Blob Storage and Iceberg is advantageous. 
  • Cloud-Native Architecture: Solid grasp of microservices, containerization, serverless computing, scalability, and performance optimization. 
  • Healthcare Domain: Experience working with regulated data environments and compliance frameworks. 

Evaluation Criteria (Critical Components)

1. Technical Depth 

·       Ability to design and implement multi-agent AI systems. 

·       Experience in LLM fine-tuning, embeddings, and context engineering. 

·       Expertise in coding proficiency with production-grade systems in Python. 

2. Architectural Vision 

·       Ability to define enterprise-level AI/ML architecture aligned with cloud-native principles. 

·       Experience in scalability, resilience, and performance optimization. 

3. Cloud & Data Expertise 

·       Hands-on deployment of AI workloads on Azure Cloud. 

·       Strong knowledge of databases, search systems, and distributed storage. 

4. Domain Knowledge 

·       Familiarity with healthcare regulations and ability to design compliant solutions. 

5. Leadership & Collaboration 

·       Experience mentoring engineers, conducting reviews, and driving technical excellence. 

·       Ability to collaborate with cross-functional teams including product, compliance, and operations. 

6. Innovation & Research Orientation 

·       Evidence of staying current with GenAI advancements and applying them to real-world problems. 

Preferred Qualifications

·       Bachelors or master’s in computer science, AI/ML, or related field. 

·       Certifications in Azure Solutions Architect or AI Engineering. 

·       Publications, patents, or contributions to open-source AI/ML projects. 

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