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Ai Agent Developer Jobs in Ohio (NOW HIRING)

... 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 ...

AI Agent Engineer

Dayton, OH · On-site

$76K - $102K/yr

The AI Agent Engineer plays a critical role in ensuring AI agents run safely, reliably, and effectively within enterprise environments. This position supports the operational design, execution, and ...

AI Agent Engineer

Dayton, OH · On-site

$76K - $102K/yr

The AI Agent Engineer plays a critical role in ensuring AI agents run safely, reliably, and effectively within enterprise environments. This position supports the operational design, execution, and ...

... 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 ...

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 ...

Agent Engineer

Marysville, OH · On-site +1

$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 ...

Whether you're engineering advanced materials, transforming manufacturing technologies, or leading ... Working knowledge of at least one AI/agent framework: LangChain, LangGraph, LlamaIndex, Semantic ...

AI Engineer

Cincinnati, OH · On-site

$100K - $140K/yr

Project Overview Benefits Explainability Agent for coverage and benefits inquiries. Initial channel: Web. Future integration with IVR/contact center systems. Key Skills AI Agent Development using ...

Whether you're engineering advanced materials, transforming manufacturing technologies, or leading ... Working knowledge of at least one AI/agent framework: LangChain, LangGraph, LlamaIndex, Semantic ...

... agent workflows using frameworks such as LangGraph to automate multi-step reasoning, integrate tools and APIs, and deliver scalable, context-aware solutions - Applying generative AI techniques ...

AI Engineer

Cincinnati, OH · On-site

$50K - $112K/yr

... agent workflows using frameworks such as LangGraph to automate multi-step reasoning, integrate tools and APIs, and deliver scalable, context-aware solutions - Applying generative AI techniques ...

AI is an area of active investment, and this role is part of how we are building practical ... Experience with agent frameworks, RAG, vector databases, embeddings, context engineering, tool use ...

AI is an area of active investment, and this role is part of how we are building practical ... Experience with agent frameworks, RAG, vector databases, embeddings, context engineering, tool use ...

AI is an area of active investment, and this role is part of how we are building practical ... Experience with agent frameworks, RAG, vector databases, embeddings, context engineering, tool use ...

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Ai Agent Developer information

See Ohio salary details

$27.6K

$45.6K

$94.6K

How much do ai agent developer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for ai agent developer in Ohio is $45,567.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $48,500.00 per year, depending on experience, location, and employer.

Is an AI agent developer a good career?

An AI agent developer is a promising career with high demand due to the growth of artificial intelligence applications. It typically requires skills in programming, machine learning, and data analysis, and offers opportunities in various industries such as technology, healthcare, and finance. The field often provides competitive salaries and continuous learning opportunities as AI technology evolves.

What is an AI agent developer?

An AI Agent Developer designs, builds, and optimizes intelligent software agents that can autonomously perform tasks, make decisions, and interact with users or other systems. This role involves working with machine learning, natural language processing, reinforcement learning, and multi-agent systems to create adaptive and efficient AI solutions. Developers in this field often utilize frameworks like LangChain, AutoGPT, or OpenAI API to enhance agent capabilities. Their work spans various industries, including customer service automation, finance, gaming, and robotics.

What are some common challenges faced by AI agent developers in their daily work?

AI Agent Developers often encounter challenges such as managing large and complex datasets, optimizing agent performance, and ensuring models behave ethically and reliably in unpredictable environments. It’s common to iterate frequently on prototypes, test against edge cases, and fine-tune algorithms based on real-world feedback. Collaboration with data scientists, software engineers, and stakeholders is crucial to understand project goals and adapt solutions accordingly. Overcoming these challenges requires technical flexibility, persistence, and a strong teamwork mindset.

What are the key skills and qualifications needed to thrive in the AI agent developer position, and why are they important?

To thrive as an AI Agent Developer, you need strong programming skills (particularly in Python), a deep understanding of machine learning concepts, and a relevant degree in computer science or a related field. Expertise with AI development frameworks (such as TensorFlow, PyTorch, or OpenAI Gym), cloud platforms, and potentially certifications in AI or data science are common requirements. Creative problem-solving, effective teamwork, and strong communication skills help distinguish top performers in this role. These competencies are essential to designing, implementing, and refining intelligent agents that function reliably in real-world applications.

How to become an AI agent developer?

To become an AI agent developer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of AI concepts such as natural language processing and reinforcement learning. Gaining relevant education through degrees or online courses and building a portfolio of AI projects can also enhance your qualifications.
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 Ai Agent Developer jobs in Ohio? For Ai Agent Developer jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Ai Agent Developer jobs? Cities in Ohio with the most Ai Agent Developer job openings:
Infographic showing various Ai Agent Developer job openings in Ohio as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $45,567 per year, or $21.9 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 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!