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Internship Software Development Jobs in Cincinnati, OH

Benesch

Bridge Design Internship

Cincinnati, OH · On-site

This allows you to benefit from mentorship by professionals in the office during your internship at ... Contribute to CADD plan production and quantity development using specialized software (e.g., LARSA ...

Dean Dorton

2026 Fall Command Center Intern

Fort Wright, KY · On-site

$14.75 - $19.75/hr

Dean Dorton connections Our interns gain real-world experience! * Building and expanding on your classroom education * Participating in accounting software training * Understanding of tax and audit ...

Dean Dorton

2027 Spring Audit Intern

Covington, KY · On-site

$14.50 - $19.50/hr

... and software training * Mentoring with Audit Partners to learn best practices and workplace skills What's in it for you? * Learning with experts who care about you and your internship * Experience ...

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How much do internship software development jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for internship software development in Cincinnati, OH is $21.97, according to ZipRecruiter salary data. Most workers in this role earn between $17.74 and $23.32 per hour, depending on experience, location, and employer.

What is an internship software development position?

Internship software development positions are temporary roles for students or recent graduates to gain hands-on experience in software engineering. Interns work on real projects, collaborate with professional developers, and learn industry practices such as coding standards, version control, and agile methodologies. These internships typically last a few months and can lead to full-time job offers upon successful completion. They provide valuable opportunities to build technical skills, professional networks, and a strong resume.

What are the key skills and qualifications needed to thrive as an internship software developer?

To excel as an Internship Software Developer, you need a solid understanding of programming fundamentals, problem-solving abilities, and coursework or projects in computer science or related fields. Familiarity with coding languages like Java, Python, or JavaScript, as well as experience with version control systems such as Git, is typically expected. Strong communication, eagerness to learn, and teamwork are vital soft skills that help interns integrate into development teams. These skills and qualities enable interns to contribute meaningfully, adapt quickly, and grow professionally in a dynamic tech environment.

What types of projects do interns typically work on during a software development internship?

Software development interns often contribute to real-world projects, such as building new features, fixing bugs, or supporting testing efforts within a team. Depending on the company, you might work on web or mobile applications, internal tools, or automation scripts. Interns usually collaborate closely with experienced developers, participate in code reviews, and attend team meetings. These experiences not only help you develop technical skills but also give you exposure to agile development practices and professional coding standards.

What is the difference between Internship Software Development vs Junior Software Developer?

AspectInternship Software DevelopmentJunior Software Developer
Required CredentialsTypically students or recent graduates, some may have coursework in programmingOften holds a degree in computer science or related field, with some practical experience
Work EnvironmentTemporary, learning-focused, often part-time or summer rolesFull-time, professional setting with ongoing project responsibilities
Employer & Industry UsageInternships are offered by tech companies, startups, and organizations for trainingEntry-level position in software development teams across industries

Internship Software Development roles are designed for students or recent graduates to gain practical experience, often in a temporary or part-time capacity. Junior Software Developers are entry-level professionals with some foundational skills, working full-time on ongoing projects. While internships focus on learning and training, junior roles involve contributing to real-world software development tasks.

What are the most commonly searched types of Software Development jobs in Cincinnati, OH?

The most popular types of Software Development jobs in Cincinnati, OH are:

What are popular job titles related to Internship Software Development jobs in Cincinnati, OH?

For Internship Software Development jobs in Cincinnati, OH, the most frequently searched job titles are:

What job categories do people searching Internship Software Development jobs in Cincinnati, OH look for?

The top searched job categories for Internship Software Development jobs in Cincinnati, OH are:

What cities near Cincinnati, OH are hiring for Internship Software Development jobs?

Cities near Cincinnati, OH with the most Internship Software Development job openings:

Internship Software Development jobs near you

Intelligent Systems Engineer II

ClarkDietrich

West Chester, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

ClarkDietrich rating

7.6

Company rating: 7.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

Do you have a strong work ethic and the desire to join an organization that invests in its people through cross-training and development? ClarkDietrich fosters a work-life balance and offers competitive compensation and benefits. Join the ClarkDietrich team by applying to the Intelligent Systems Engineer II position.
Position Summary
The Intelligent Systems Engineer II will support the design, development, testing, and implementation of intelligent software systems that combine artificial intelligence, machine learning, data engineering, automation, cloud services, and modern software development practices.
This role is a hands-on technical engineering position. The Intelligent Systems Engineer II will work under the direction of the Technical Manager and will be responsible for solving assigned technical problems, contributing to system design and implementation, building reliable components, and supporting the development of scalable intelligent applications.
This position is not expected to independently define business problems, own business-facing strategy, or directly lead stakeholder discovery. Instead, the role will translate technical direction, requirements, and priorities provided by the Technical Manager into practical engineering solutions.
Role Scope and Expectations
  • Work primarily as a technical contributor under the direction of the Technical Manager.
  • Solve assigned technical problems at the system, software, data, AI, and integration levels.
  • Support implementation, testing, documentation, and production-readiness of intelligent systems.
  • Escalate risks, blockers, tradeoffs, and unclear requirements to the Technical Manager in a timely manner.
  • Participate in technical discussions and provide input, while business-facing prioritization and solution direction remain coordinated through the Technical Manager or designated leadership.

Key Responsibilities
Intelligent Systems Development
  • Design, develop, test, and maintain components of AI-enabled software systems and automation workflows.
  • Build technical solutions using machine learning models, large language models, data pipelines, APIs, databases, and cloud services.
  • Implement assigned features, services, integrations, and backend logic based on technical direction from the Technical Manager.
  • Support prototype development, technical validation, and transition of approved solutions into stable, production-ready implementations.
  • Research and evaluate technologies when assigned, and provide technical findings and recommendations to the Technical Manager.

Machine Learning and Applied AI
  • Support the development, testing, evaluation, and improvement of machine learning and AI-enabled solutions.
  • Assist with model training, validation, performance testing, accuracy measurement, and error analysis.
  • Prepare and process structured, semi-structured, and unstructured data for use in intelligent systems.
  • Help create evaluation methods to measure consistency, reliability, accuracy, and technical performance.
  • Work with the Technical Manager to ensure AI outputs are reviewed, explainable where needed, and aligned with approved technical standards.

Data Engineering and System Integration
  • Build and maintain data pipelines for collecting, cleaning, transforming, and organizing technical and operational data.
  • Develop backend services, APIs, and integration components that connect intelligent systems with internal applications.
  • Support data quality, traceability, security, and maintainability across assigned technical work.
  • Work with databases, file storage, cloud services, and application interfaces as needed.
  • Document data flows, integration logic, assumptions, and technical limitations.

Cloud and Software Engineering
  • Develop cloud-supported applications and services using modern software engineering practices.
  • Participate in version control, code reviews, testing, deployment, environment management, and release support.
  • Support CI/CD pipelines, containerization, automated testing, and monitoring where applicable.
  • Improve performance, reliability, scalability, maintainability, and cost efficiency of assigned systems.
  • Follow team standards for code quality, documentation, security, and operational support.

Collaboration and Technical Execution
  • Work under the leadership of the Technical Manager to execute assigned technical priorities.
  • Collaborate with software developers, engineers, data contributors, product contributors, interns, and IT stakeholders as needed.
  • Ask clarifying technical questions and raise risks, blockers, and tradeoffs early.
  • Participate in design reviews, technical planning sessions, and implementation discussions.
  • Provide clear status updates, technical notes, and documentation for assigned work.

Required Qualifications
  • Degree or equivalent experience in computer science, engineering, artificial intelligence, machine learning, data science, software engineering, or a related technical field.
  • Strong programming skills, preferably in Python and modern backend development.
  • Experience with applied AI, machine learning, data processing, automation, or intelligent software systems.
  • Experience working with APIs, databases, backend services, and software integrations.
  • Familiarity with cloud platforms, preferably AWS.
  • Understanding of software engineering practices, including version control, testing, documentation, and deployment.
  • Ability to understand technical direction and convert it into working software components.
  • Strong analytical, problem-solving, communication, and collaboration skills.
  • Ability to work in a structured technical team environment under the guidance of a Technical Manager.

Preferred Qualifications
  • Advanced degree or research experience in artificial intelligence, machine learning, engineering, optimization, data science, or computational methods.
  • Experience with large language models, OCR, retrieval-augmented generation, vector databases, intelligent agents, or document intelligence systems.
  • Experience applying AI or machine learning to engineering, construction, manufacturing, automation, or complex operational workflows.
  • Experience with AWS services such as S3, Lambda, ECS, ECR, API Gateway, RDS, DynamoDB, Bedrock, Textract, SageMaker, or similar technologies.
  • Experience with CI/CD, GitHub, containers, automated testing, and modern software release practices.
  • Familiarity with technical design workflows, engineering software, or knowledge-intensive business processes is a plus.

Key Success Outcomes
  • Deliver assigned technical components for intelligent systems and AI-enabled applications.
  • Support data pipelines, model evaluation, backend services, APIs, and cloud-based implementation work.
  • Contribute to improving system reliability, maintainability, performance, and scalability.
  • Follow technical direction from the Technical Manager and execute work with increasing independence.
  • Communicate progress, risks, and technical findings clearly and consistently.
  • Help strengthen the team's software, data, AI, and cloud engineering practices.

Reporting and Collaboration
This role reports to the Technical Manager within the software development or digital technology function.
The position is primarily responsible for hands-on technical execution and implementation.
Business requirements, stakeholder priorities, and solution direction will be coordinated through the Technical Manager or designated leadership.
CLARKDIETRICH BENEFITS INCLUDE:
Full benefits package (Medical, Dental, Vision, Flexible Spending Accounts and Life Insurance)
401(k) with company match
Annual Incentive
Paid Time Off
Tuition Reimbursement
Professional Certification Reimbursement Program
Community Service Day

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