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Github Copilot Jobs in Ohio (NOW HIRING)

Senior AI Engineer

Macedonia, OH · On-site

$120 - $150/hr

Use AI development tools (GitHub Copilot, Cursor, Claude Code, etc.) as part of how you build and validate what they produce. Who are you: * 5+ years in software/AI engineering, with substantial ...

New

React Lead Software Engineer

Columbus, OH · On-site

$100K - $134K/yr

... GitHub Copilot, Windsurfer, or similar platforms is a significant plus. • Financial services industry experience is a plus Company : With a history tracing its roots to 1799 in New York City ...

Experience leveraging AI-powered engineering tools and platforms (e.g., GitHub Copilot, ChatGPT/Copilot, Azure AI services, AIOps platforms, observability intelligence solutions) to accelerate ...

Leverage AI-assisted development tools, including GitHub Copilot and internally developed solutions, to enhance productivity * Apply creative problem-solving techniques to identify and implement ...

Experience with AI-assisted development tools such as OpenAI Codex, GitHub Copilot, Claude Code, or similar. Our heart at Harvest is to provide and maintain a work environment that fosters diversity ...

Senior DevOps Engineer

Westfield Center, OH · Hybrid

$114K - $147K/yr

Exposure to DevSecOps tooling such as SonarQube, Snyk, GitHub Copilot, or similar. * Familiarity with infrastructure-as-code tools and principles (e.g., Terraform, Helm). Location Hybrid defined as ...

Demonstrate proficiency in using AIassisted development and analysis tools (e.g., GitHub Copilot and approved codecentric agents) * Leverage AI to accelerate system design, coding, testing, analysis ...

Experience leveraging AI coding assistants (such as Claude Code, OpenCode, or GitHub Copilot) to accelerate development workflows Nice To Have * Background in cybersecurity, identity security, or ...

Showing results 41-60

Github Copilot information

See Ohio salary details

$30.9K

$77.7K

$119.8K

How much do github copilot jobs pay per year?

As of Aug 7, 2026, the average yearly pay for github copilot in Ohio is $77,720.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Github Copilot vs Software Developer?

FeatureGithub CopilotSoftware Developer
Primary RoleAI-powered code completion toolDesigning, coding, testing software applications
Required SkillsProficiency in programming, understanding of AI toolsProgramming languages, problem-solving, software design
Work EnvironmentIntegrated into IDEs, used alongside developersOffice or remote, collaborative or solo coding
CertificationsNone required, but familiarity with coding standards helpsComputer Science degree or coding certifications often preferred

Github Copilot is an AI tool that assists developers by suggesting code snippets, while a Software Developer actively writes, tests, and maintains software applications. Copilot enhances productivity but does not replace the core responsibilities of a developer. Both roles often work together in the software development process.

What are popular job titles related to Github Copilot jobs in Ohio? For Github Copilot jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Github Copilot jobs in Ohio look for? The top searched job categories for Github Copilot jobs in Ohio are:
What cities in Ohio are hiring for Github Copilot jobs? Cities in Ohio with the most Github Copilot job openings:
Infographic showing various Github Copilot job openings in Ohio as of August 2026, with employment types broken down into 15% Full Time, 82% Part Time, and 3% Contract. Highlights an 14% Physical, 1% Hybrid, and 85% Remote job distribution, with an average salary of $77,720 per year, or $37.4 per hour.

Senior AI Engineer

IWConnect

Macedonia, OH • On-site

$120 - $150/hr

Other

Posted 2 days ago

New


Job description

We're hiring a Senior AI Engineer who enjoys owning the entire development lifecycle. From shaping the architecture to building and deploying solutions, you'll use AI tools every day to work smarter and faster. You'll lead projects with minimal oversight, guide other engineers when needed, and confidently deliver independently while collaborating with experts for reviews and validation. 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 problems into AI solutions, explain how the technology behaves (and its limits), and report progress clearly;
  • Support proposals and pre‑sales for new AI engagements;
  • Lead AI engineers on engagements: if needed to have ability to set tasks, review work, give feedback, and support growth and performance;
  • Own delivery quality and the path from PoC to production;
  • Design end‑to‑end AI‑powered experiences and the systems behind them: model selection, deployment patterns, infrastructure;
  • Architect and build RAG pipelines – chunking (semantic/recursive/hierarchical), embedding selection, retrieval, hybrid search, re‑ranking, and evaluation;
  • Build agentic / multi‑step workflows (LangChain, LangGraph, or equivalent): multi‑agent designs, agent‑to‑agent protocols, and tool/API/MCP‑style integration with enterprise systems;
  • Deploy on a hyperscaler AI platform (Azure AI Foundry, AWS Bedrock, Google Vertex AI, K8s based or equivalent);
  • Build for production: observability, evaluations, AI safety, bias/failure‑mode handling, security, and cost control;
  • Write the production code yourself – hands‑on;
  • Use AI development tools (GitHub Copilot, Cursor, Claude Code, etc.) as part of how you build and validate what they produce.
Who are you:
  • 5+ years in software/AI engineering, with substantial hands‑on delivery of production AI/LLM systems (not only PoCs or notebooks);
  • Deep RAG expertise: chunking strategies, embedding models, vector databases, retrieval, re‑ranking, and evaluation frameworks;
  • Strong with agentic / multi‑step LLM workflows and orchestration (LangChain, LangGraph, or equivalent) and tool/API integration;
  • Able to build real software – production‑grade code in at least one of Python, .NET / C#, Java, or Node.js / TypeScript (APIs, services, integrations);
  • Experience deploying AI workloads on at least one hyperscaler AI platform;
  • Solid on production concerns: observability, evaluation, safety, security, cost;
  • Daily, fluent use of AI development tools in your own work;
  • Proven ability to take an AI solution from idea to production independently;
  • Confident client‑facing and team communication;
  • Knowledge graphs and graph‑based retrieval (Neo4j, RDF/SPARQL, GraphRAG);
  • NL2SQL, semantic layers, intelligent document processing;
  • LLMOps/MLOps tooling and practices.
Nice to have:
  • Broad / multi‑stack traditional software‑engineering background;
  • Experience with large, regulated organisations (banks, insurers, government, utilities);
  • Relevant certifications;
  • Formal team‑leadership/performance‑management experience.
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