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Intern Ai Agent Developer Jobs in Ohio (NOW HIRING)

Goosehead

AI Agent Engineer

Westlake, OH

... agent performance. Ifyou'reexcited to apply machine learning, statistics, and data engineering to solve meaningful business problems,we'dlove to hear from you. Who You Are: You are an AI-focused ...

Tata Consultancy Service Limited

AI Developer

Cincinnati, OH · On-site

$110K - $150K/yr

Must Have Technical/Functional Skills AI Developer, Test support, Strong documentation and problem ... Technical Design Agents Configuration (Config) Agent AI Testing and Quality-focused agents Support ...

Worldpay

AI Agent Designer

Cincinnati, OH · On-site

$14.50 - $19.25/hr

Create agent blueprints, workflow designs, requirements, and success metrics that enable engineering teams to build scalable AI solutions. * Lead AI discovery workshops, map complex cross-functional ...

Worldpay

AI Agent Designer

Cincinnati, OH · On-site

$14.50 - $19.25/hr

Create agent blueprints, workflow designs, requirements, and success metrics that enable engineering teams to build scalable AI solutions. * Lead AI discovery workshops, map complex cross-functional ...

ERP Suites

AI Platform Engineer

Loveland, OH · On-site +1

... agent deployment frameworks. The ideal candidate is a hands-on cloud and infrastructure professional with experience in DevOps, AI platform operations, automation, security, observability, and ...

The Scotts Company LLC

Agent Engineer

Marysville, OH · On-site

$140K - $164K/yr

Role Summary You will own the AI agent development lifecycle at Scotts Miracle-Gro - from pilot ... Implement prompt engineering, guardrails, and evaluation pipelines to ensure agents meet quality ...

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Intern Ai Agent Developer information

What does an Intern AI Agent Developer do?

An Intern AI Agent Developer assists in designing, developing, and testing artificial intelligence agents, which are software programs capable of performing tasks that typically require human intelligence. Their responsibilities may include writing code, training machine learning models, analyzing data, and supporting senior developers in research or project work. Interns in this role gain hands-on experience with AI frameworks and tools while learning best practices in software engineering and artificial intelligence development.

What types of projects and tasks can an Intern AI Agent Developer expect to work on during their internship?

As an Intern AI Agent Developer, you will typically collaborate with experienced engineers and data scientists to design, develop, and test components of AI-driven systems. Your daily tasks may include writing and debugging code, assisting in training machine learning models, and running experiments to evaluate agent performance. Interns often contribute to documentation, participate in code reviews, and may even help implement features under supervision. This role provides a hands-on learning environment where you can develop both technical and teamwork skills, while gaining exposure to the latest AI development tools and practices.

What are the key skills and qualifications needed to thrive as an Intern AI Agent Developer?

To thrive as an Intern AI Agent Developer, you need a solid understanding of programming languages like Python, basic knowledge of machine learning concepts, and enrollment in or completion of a relevant degree such as computer science. Familiarity with tools and frameworks such as TensorFlow, PyTorch, Git, and cloud platforms is typically expected. Curiosity, strong problem-solving skills, and the ability to collaborate within a team help you stand out. These skills are crucial for successfully contributing to AI projects, learning quickly in a dynamic field, and effectively supporting development teams.

What is the difference between Intern Ai Agent Developer vs Intern Machine Learning Engineer?

AspectIntern Ai Agent DeveloperIntern Machine Learning Engineer
Required CredentialsRelevant coursework, basic programming skills, familiarity with AI toolsRelevant coursework, programming skills, understanding of ML algorithms
Work EnvironmentTech companies, AI startups, research labsTech companies, research institutions, AI startups
Employer & Industry UsageAI development teams, chatbot and virtual assistant projectsData science teams, predictive modeling projects

Intern Ai Agent Developers focus on building and improving AI agents like chatbots and virtual assistants, often requiring knowledge of AI frameworks. Intern Machine Learning Engineers work on developing ML models for various applications, emphasizing data handling and algorithm implementation. Both roles are common in tech and AI industries, but they differ in specific focus areas and skill sets.

What are the most commonly searched types of Ai Agent Developer jobs in Ohio?

The most popular types of Ai Agent Developer jobs in Ohio are:

What are popular job titles related to Intern Ai Agent Developer jobs in Ohio?

For Intern Ai Agent Developer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Intern Ai Agent Developer jobs in Ohio look for?

The top searched job categories for Intern Ai Agent Developer jobs in Ohio are:

What cities in Ohio are hiring for Intern Ai Agent Developer jobs?

Cities in Ohio with the most Intern Ai Agent Developer job openings:

Intern Ai Agent Developer jobs near you
Infographic showing various Intern Ai Agent Developer job openings in Ohio as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Agent Engineer

Goosehead

Westlake, OH

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Job description

About Us

AtGooseheadInsurance,we'rechanging the way people think about insurance through a technology-driven, client-first approach. By combining a powerful digital platform with an expert agent network, we empower clients to find the best coverage for their needs-with transparency, efficiency, and trust at the core.

We'rebuilding a data-driven culture that puts analytics at the center of our decision-making. Our team works on high-impact projects across underwriting, marketing, client experience, and agent performance. Ifyou'reexcited to apply machine learning, statistics, and data engineering to solve meaningful business problems,we'dlove to hear from you.

Who You Are:

You are an AI-focused software engineer with a strong foundation in building production systems powered by large language models (LLMs), natural language processing (NLP), and intelligent automation. You thrive at the frontier of research and application, capable of turning cutting-edge models into secure, reliable, and scalable software. You're comfortable in both Fortune 100-style environments and startup-style innovation, and you want to grow your career into senior AI leadership roles.

Key Responsibilities:

  • Design, build, and deploy agentic AI systems that leverage LLMs, NLP, and retrieval-augmented generation (RAG) pipelines to support both client-facing and agent-facing use cases.

  • Collaborate with data scientists, product managers, and engineers to translate ambiguous business problems into robust AI-driven solutions.

  • Develop and maintain scalable APIs and microservices in Python and/or Java that integrate AI capabilities into enterprise applications.

  • Implement best practices in MLOps, ensuring reproducibility, observability, and seamless deployment of AI models into production.

  • Drive innovation by staying current with advancements in generative AI, multi-agent frameworks, and reinforcement learning.

  • Contribute to the culture of security, compliance, and ethical AI adoption across the organization.

  • Mentor junior engineers and contribute to the growth of Goosehead's AI talent pipeline.

Required Qualifications

  • 3-9 years of professional experience in software engineering or applied AI.

  • Proficiency in Python and Java, with demonstrated experience building production-grade systems.

  • Strong background in NLP, LLMs, and generative AI, including prompt engineering, fine-tuning, and orchestration frameworks.

  • Hands-on experience with MLOps pipelines, containerization (Docker/Kubernetes), and CI/CD.

  • Experience working with both structured and unstructured datasets.

  • Strong problem-solving and communication skills, with the ability to explain technical concepts to non-technical stakeholders.

Preferred Qualifications

  • Exposure to both Fortune 100 enterprises and startup environments, with the ability to balance rigor and speed.

  • Experience with cloud platforms (Azure, AWS, or GCP) and vector databases.

  • Familiarity with agentic AI frameworks, autonomous workflows, or multi-agent coordination systems.

  • Background in insurance, financial services, or other regulated industries.

  • Experience integrating AI into mission-critical, client-facing applications.

Benefits Summary

  • High quality voluntary health, vision, disability, life, and dental insurance programs

  • 401K Matching Plan

  • Employee Stock Purchase Plan

  • Paid holidays, vacation, and sick leave

  • Corporate sponsored programs to enhance employee physical, financial, mental,and emotional wellness

  • Financial Solution Program

Equal Employment Opportunity:

Goosehead is anequal-opportunityemployer andcomplies withall applicable federal, state, and local laws, rules, guidelines, and regulations. Goosehead strictly prohibits and does not tolerate unlawful discrimination against employees, applicants, or any other covered person because of race, color, religion, creed, national origin, ancestry, ethnicity, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender, gender identity, transgender status, age, physical or mental disability, veteran status, uniformed service, genetic information, or any other characteristic protected by applicable law. All applicants for employment and all Goosehead employees are given equal consideration based solely on job-related factors, such as qualifications, experience, performance, and availability.

To learn more about our job opportunities, apply here. We look forward to speaking with you!

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