AI/ML Software Engineer

. Design, implement, train, and refine AI/ML models and decision logic for adaptive or generative software applications.

Posted 4/21/2026full-timeRemote • Ohio • 🇺🇸 United StatesMid-LevelSenior💰 $95,000 - $120,000 per yearWebsite

Tools & technologies

PythonPyTorchTensorflow

Key responsibilities & impact

Design, implement, train, and refine AI/ML models and decision logic for adaptive or generative software applications.
Develop software frameworks, runtime components, APIs, and integration layers to connect AI/ML capabilities with larger system architectures.
Build and maintain training workflows, evaluation harnesses, preprocessing pipelines, and dataset tooling for simulated and operationally relevant environments.
Support model evaluation against technical performance metrics and help analyze results from simulation and test environments.
Containerize software components and prepare runtime packages for automated test and evaluation execution.
Contribute to scalable software architecture, configuration management, experiment tracking, and code quality practices.
Refactor and harden software for production-quality use, including modular design, logging, error handling, documentation, and test coverage.
Support technical reviews, development planning, integration activities, and customer-facing engineering discussions as needed.
Produce technical documentation, including architecture overviews, setup instructions, interface descriptions, deployment guidance, and lessons learned.
Collaborate closely with multidisciplinary teams, including AI/ML engineers, software developers, communications or signal-processing specialists, system architects, and test teams.

What you’ll need

Bachelor’s degree or higher in Computer Science, Computer Engineering, Electrical Engineering, or a related STEM field.
Demonstrated hands-on experience in AI/ML software development, including model implementation and deployment.
Strong proficiency in Python.
Proficiency in at least one additional programming language, such as C or C++.
Experience with one or more major ML frameworks such as PyTorch or TensorFlow.
Experience building software in a structured engineering environment using version control, code review, testing, and sound development practices.
Experience developing data pipelines, preprocessing workflows, or dataset tooling for complex or sequential data.
Experience with APIs, containerization, and integration testing.
Strong written and verbal communication skills and the ability to work effectively in cross-functional technical teams.
U.S. Person status required.

Comp & perks

Competitive pay, comprehensive medical/dental/life and disability coverage, 401(k) with employer match, professional development support, and a flexible, friendly workplace.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI/ML model designAI/ML model implementationAI/ML model deploymentPythonCC++PyTorchTensorFlowdata pipelinescontainerization

Soft Skills

strong written communicationstrong verbal communicationcross-functional collaboration