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Chatbot Developer Jobs in Ohio (NOW HIRING)

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Chatbot Developer information

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$70.8K

$89.1K

$120.3K

How much do chatbot developer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for chatbot developer in Ohio is $89,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,100.00 and $90,300.00 per year, depending on experience, location, and employer.

What is a chatbot developer?

Chatbot Developers are professionals who design, build, and maintain conversational programs, often using artificial intelligence or scripted logic, to interact with users via messaging platforms, websites, or apps. They work with programming languages, natural language processing (NLP), and machine learning frameworks to create chatbots that can answer questions, provide customer support, or automate tasks. Their role involves understanding user needs, integrating chatbots with existing systems, and ensuring a seamless, human-like conversational experience.

What does a chatbot developer do?

As a chatbot developer, you create applications that automate customer services or other communication processes. You design programs that use artificial intelligence to communicate with humans via text or audio. You develop chatbot programs so that they can communicate in a variety of scenarios. You test your application and debug it if necessary. Your duties include reviewing and simplifying code when needed. As a chatbot developer, you may also help companies implement bots in their operations. You often work with established AI platforms such as Microsoft Azure Cognitive Services and use a variety of computer languages, including Python, C++, and JavaScript.

What are the key skills and qualifications needed to thrive as a chatbot developer, and why are they important?

To thrive as a Chatbot Developer, you need expertise in programming languages like Python or JavaScript, a solid understanding of natural language processing (NLP), and experience with chatbot frameworks such as Dialogflow or Microsoft Bot Framework. Familiarity with cloud platforms, APIs, and version control systems (e.g., Git) is also commonly required, along with certifications in AI or related fields being advantageous. Strong problem-solving skills, creativity, and effective communication help developers design user-friendly and intuitive conversational experiences. These skills ensure the creation of reliable, scalable, and engaging chatbots that effectively address user needs and business goals.

What are some common challenges chatbot developers face when integrating chatbots with existing systems?

One common challenge Chatbot Developers encounter is ensuring seamless integration of chatbots with legacy systems and diverse databases, which may have inconsistent data formats or limited APIs. Developers often need to troubleshoot compatibility issues, manage security protocols, and handle real-time data synchronization. Close collaboration with IT teams and clear documentation are essential for successful integration and ongoing maintenance. Overcoming these challenges can lead to more robust and scalable chatbot solutions.

What is the difference between Chatbot Developer vs AI Developer?

AspectChatbot DeveloperAI Developer
Required CredentialsProgramming skills, knowledge of chatbot platforms, basic AI understandingAdvanced AI/ML certifications, programming, data science background
Work EnvironmentTech companies, customer service, e-commerce, startupsResearch labs, tech firms, industries applying AI solutions
Employer & Industry UsageFocus on conversational interfaces, customer engagementBroader AI applications, including machine learning, NLP, robotics
Search & Comparison IntentUnderstanding chatbot roles, skills, and job scopeExploring broader AI career paths and skills

While both roles involve AI concepts, a Chatbot Developer specializes in creating conversational interfaces for customer engagement, whereas an AI Developer works on broader artificial intelligence applications, including machine learning and data analysis. The roles share overlapping skills but differ in scope and industry focus.

How much do chatbot developers make?

Chatbot developers typically earn between $70,000 and $120,000 annually, depending on experience, location, and skill level. Entry-level positions may start lower, while experienced developers with expertise in AI, natural language processing, and programming languages like Python or JavaScript can earn higher salaries.

Is a chatbot developer a good career?

A chatbot developer is a viable career choice as it involves designing and implementing conversational AI using programming languages, natural language processing, and machine learning tools. The demand for chatbot developers is growing across industries such as customer service, healthcare, and finance, offering opportunities for specialization and career advancement.
More about Chatbot Developer jobs

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

The most popular types of Chatbot Developer jobs in Ohio are:

What are popular job titles related to Chatbot Developer jobs in Ohio?

For Chatbot Developer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Chatbot Developer jobs in Ohio look for?

The top searched job categories for Chatbot Developer jobs in Ohio are:

Chatbot Developer jobs near you
Infographic showing various Chatbot Developer job openings in Ohio as of August 2026, with employment types broken down into 79% Full Time, 7% Part Time, and 14% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $89,127 per year, or $42.8 per hour.

Cloud Solutions Architect / Database Engineer / AI Platform Architect

ABCO MAINTENANCE INC. (BIC# 1854)

Cincinnati, OH • On-site

$150K - $180K/yr

Full-time

Re-posted 23 hours ago

Job description

We are seeking a highly experienced Cloud Solutions Architect / Database Engineer / AI Platform Architect to design and build the cloud, database, security, API, and AI infrastructure that supports our enterprise applications. Compensation for this role will be between $150k-$180k depending on experience.

This role will be responsible for establishing scalable cloud architecture, designing and engineering production databases, developing secure APIs and integration services, implementing authentication and application security standards, and architecting the AI foundation of our applications. The architect will build the backend and AI service layers that allow front-end developers to securely and efficiently consume application data, business functionality, and AI-powered capabilities.

The ideal candidate will have deep expertise in cloud architecture, C#/.NET, SQL Server, database engineering, REST APIs, application security, authentication, Azure or AWS, enterprise integrations, and production AI architecture. This individual should be capable of taking business and application requirements and translating them into secure, scalable, production-ready technical solutions.

Experience with AI and Large Language Model (LLM) platforms is required, particularly when designing the infrastructure, data access, security, APIs, and application architecture necessary to support AI-powered enterprise solutions. The ideal candidate will have hands-on experience building production AI applications using OpenAI, Azure OpenAI, Anthropic, Google AI, or comparable LLM technologies, including designing workflows that enable AI to execute complex business processes through structured instructions, examples, retrieval strategies, orchestration, and enterprise data integration. This role requires experience developing AI as an operational component of an application, not simply integrating an AI API or adding chatbot functionality.

Responsibilities

  • Architect and implement scalable, secure, and highly available cloud environments for enterprise applications.
  • Design the overall backend architecture supporting web applications, internal systems, integrations, and AI-powered solutions.
  • Design, build, and maintain production database environments, including schemas, tables, relationships, stored procedures, views, indexing strategies, and data-access patterns.
  • Develop and optimize SQL Server databases for performance, scalability, reliability, data integrity, and security.
  • Establish database standards covering data modeling, normalization, indexing, query optimization, auditing, backup, recovery, and disaster recovery.
  • Design and develop secure RESTful APIs and backend services using C#, ASP.NET Core, and related .NET technologies.
  • Build well-structured API and service layers that allow front-end developers to consume data and business functionality without requiring direct access to backend systems or databases.
  • Define API contracts, request/response models, validation standards, error handling, versioning, documentation, and integration patterns.
  • Implement authentication and authorization solutions using technologies and standards such as OAuth 2.0, OpenID Connect, JWT, SSO, RBAC, and enterprise identity providers.
  • Design and enforce application and API security standards, including SSL/TLS, encryption, secrets management, certificate management, secure configuration, and least-privilege access.
  • Implement secure communication between cloud services, databases, APIs, external systems, AI services, and front-end applications.
  • Design cloud networking and infrastructure components including application hosting, databases, storage, identity, networking, firewalls, gateways, load balancing, monitoring, logging, and availability strategies.
  • Develop integration architectures for internal systems, third-party applications, vendor APIs, and enterprise platforms.
  • Design data pipelines, ETL processes, data transformation services, and system-to-system integrations where required.
  • Establish logging, monitoring, auditing, alerting, and observability standards across backend services and cloud infrastructure.
  • Design scalable architectures capable of supporting increasing users, transaction volumes, data volumes, integrations, AI workloads, and application workloads.
  • Implement caching, asynchronous processing, queues, background services, and other distributed architecture patterns when appropriate.
  • Develop and maintain CI/CD pipelines and infrastructure deployment processes.
  • Work closely with front-end developers to define API requirements, data contracts, authentication flows, AI service interactions, and integration standards.
  • Design and implement AI workflow architectures that enable Large Language Models to perform complex business functions by defining process sequences, system instructions, prompt strategies, retrieval mechanisms, examples, evaluation methods, tool interactions, and orchestration workflows.
  • Architect AI systems capable of incorporating enterprise knowledge and business processes through structured process definitions, contextual examples, retrieval, tool use, and iterative refinement so that AI can reliably execute operational business tasks.
  • Design Retrieval-Augmented Generation (RAG) architectures that securely retrieve relevant enterprise information from databases, documents, APIs, vector stores, and other approved business data sources.
  • Design secure AI integration patterns that control how LLMs access enterprise databases, APIs, internal systems, and sensitive business information.
  • Establish AI evaluation, testing, monitoring, and quality standards to measure accuracy, reliability, consistency, security, and effectiveness of AI-powered workflows.
  • Collaborate with business stakeholders and development teams to translate application requirements and business processes into technical and AI architectures.
  • Evaluate technical risks, scalability requirements, security concerns, infrastructure costs, AI usage costs, and architectural tradeoffs.
  • Conduct architecture and code reviews and establish backend, database, API, cloud, security, and AI development standards.
  • Provide technical leadership and mentoring to developers working within the architecture.