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Full Stack Ai Engineer Jobs in Ohio (NOW HIRING)

SVATS

Sr AI/ML Engineer - W2 Role

Columbus, OH · On-site

$97K - $134K/yr

The resource must be a full-stack AI engineer, not an ML data scientist. Someone who can build and integrate a production system end-to-end, not just train a model. What You Are Being Asked To Do ...

Northwoods

Software Engineer - Full Stack

Dublin, OH · On-site

We are hiring a Full-Stack Software Engineer to join a high-autonomy engineering team delivering ... Genuine curiosity about AI-assisted development, with some hands-on experience using tools such as ...

CSafe Global

Full Stack Engineer

Monroe, OH · On-site

Join our team as a Full Stack Engineer and be the hands-on technical owner for modern, data-aware applications ( including AI-powered features ) in a Microsoft/Azure environment. You'll set ...

CapTech Consulting

Full-Stack Engineer

Columbus, OH · On-site

Full-Stack Developers at CapTech are part of a capable, highly-motivated community who strive to ... Experience with a Varied AI Toolset- Claude code, CodeX, Opencode, OpenClaude * Preferred ...

Genesis10

Full Stack Developer

Brooklyn, OH · On-site

$60/hr

Create and maintain Rovo agents and leverage AI capabilities to enhance search, insights, and ... Proven experience as a Full Stack Developer or similar role * Strong proficiency in back-end ...

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All JobsFull Stack Ai Engineer JobsFull Stack Ai Engineer Jobs in Ohio

Full Stack Ai Engineer information

See Ohio salary details

$42.3K

$128.1K

$181.1K

How much do full stack ai engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for full stack ai engineer in Ohio is $128,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,500.00 and $150,200.00 per year, depending on experience, location, and employer.

What is a Full Stack AI Engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

How do Full Stack AI Engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are the key skills and qualifications needed to thrive as a Full Stack AI Engineer, and why are they important?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.
What are popular job titles related to Full Stack Ai Engineer jobs in Ohio? For Full Stack Ai Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Full Stack Ai Engineer jobs in Ohio look for? The top searched job categories for Full Stack Ai Engineer jobs in Ohio are:
What cities in Ohio are hiring for Full Stack Ai Engineer jobs? Cities in Ohio with the most Full Stack Ai Engineer job openings:
Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack Ai Engineer job openings in Ohio as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $128,126 per year, or $61.6 per hour.
Sr AI/ML Engineer - W2 Role

Sr AI/ML Engineer - W2 Role

SVATS

Columbus, OH • On-site

$97K - $134K/yr

Other

Posted 11 days ago

Job description

Role: Sr AI/ML Engineer – W2 Role

Location: Jersey City, NJ | Columbus OH | Dallas TX

Onsite interviews only

Candidate should not focus exclusively on ML model training. That is one component of this engagement.

The delivery requires significantly broader engineering skills - Python async programming, FastAPI backend development, real-time streaming with Redis, enterprise API integration with Splunk and Dynatrace, ServiceNow connectivity, vector database implementation, LLM agent development, and production deployment on enterprise infrastructure.

The resource must be a full-stack AI engineer, not an ML data scientist. Someone who can build and integrate a production system end-to-end, not just train a model.

What You Are Being Asked To Do

Design and build an intelligent system that helps the engineering team respond to problems faster, more consistently, and with less manual effort.

The client has historical incident data available. Their existing monitoring tools are live and generating data. They have an existing ticketing system.

Everything else is for you to figure out.

For Your Interview

Come prepared with how you would approach this — what you would build, how you would build it, and what you would watch out for.

You will be asked to go deep. Surface level answers will be challenged.

Apply