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Chatbot Developer Jobs in Wisconsin (NOW HIRING)

WI · On-site

$80 - $100/hr

Improve chatbot understanding and response accuracy. * ✔️ Integrate chatbots with APIs and backend systems. Enable seamless communication across platforms. * ✔️ Train and fine‑tune chatbot ...

Explore and assist in implementing AI-driven support workflows (e.g., chatbot triage, auto ... Strong collaboration across engineering, product, and support teams Employment Type: FULL_TIME

AI Agent & Chatbot Projects * AI Workflow Projects * Predictive Modeling Projects * Educate Finance ... Bachelors' degree in Engineering, Technology field, and/or Finance or equivalent * Project ...

WI · On-site

$100 - $125/hr

... for chatbot performance and infrastructure reliability. Skills and attributes for success * 4-8 years of experience in DevOps/MLOps or platform engineering, preferably in Financial Services.

Senior AI Engineer

Milwaukee, WI · On-site

$120K - $159K/yr

Integrate AI-driven capabilities such as chatbot assistants, image-based diagnostics, and automated content creation into products. * Drive adoption of AI-powered engineering tools (e.g., LLM ...

Senior Software Engineer

Milwaukee, WI

$120K - $159K/yr

Integrate AI-driven capabilities such as chatbot assistants, image-based diagnostics, and automated content creation into products. * Drive adoption of AI-powered engineering tools (e.g., LLM ...

Senior AI Engineer

Milwaukee, WI · On-site

$120K - $159K/yr

Integrate AI-driven capabilities such as chatbot assistants, image-based diagnostics, and automated content creation into products. * Drive adoption of AI-powered engineering tools (e.g., LLM ...

Senior Software Engineer

Milwaukee, WI · On-site

$120K - $159K/yr

Integrate AI-driven capabilities such as chatbot assistants, image-based diagnostics, and automated content creation into products. * Drive adoption of AI-powered engineering tools (e.g., LLM ...

Senior Software Engineer

Milwaukee, WI · On-site

$100 - $125/hr

Integrate AI-driven capabilities such as chatbot assistants, image-based diagnostics, and automated content creation into products. Drive adoption of AI-powered engineering tools (e.g., LLM-augmented ...

Integrate AI-driven capabilities such as chatbot assistants, image-based diagnostics, and automated content creation into products. * Drive adoption of AI-powered engineering tools (e.g., LLM ...

WI · On-site

$150 - $200/hr

Strong Python and SQL programming skills with demonstrated proficiency in data extraction, data ... chatbot evaluation, retrieval-augmented generation, or agentic AI frameworks. * Exposure to ...

WI · On-site

$60 - $80/hr

... Engineering, Data Science/AI, Business Engineering, Information Systems) * Clear evidence of ... Experience with no-code/automation tools or chatbot platforms * Familiarity with tuning, training ...

You will partner closely with business stakeholders, analysts, data engineers, and PMO to deliver ... Design and maintain semantic data models that support AI readiness, advanced analytics, and chatbot ...

You will partner closely with business stakeholders, analysts, data engineers, and PMO to deliver ... Design and maintain semantic data models that support AI readiness, advanced analytics, and chatbot ...

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Showing results 1-20

Chatbot Developer information

See Wisconsin salary details

$75.2K

$94.6K

$127.7K

How much do chatbot developer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for chatbot developer in Wisconsin is $94,626.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,700.00 and $95,900.00 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.

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

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

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

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

Infographic showing various Chatbot Developer job openings in Wisconsin as of August 2026, with employment types broken down into 85% Full Time, 5% Part Time, and 10% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $94,626 per year, or $45.5 per hour.

AI Chatbot Developer Devi Technologies

Devitechs

WI • On-site

$80 - $100/hr

Other

Posted 6 days ago


Job description

  • ✔️ Design and develop AI‑powered chatbot solutions.
    Enhance automation and user interaction experiences.
  • ✔️ Implement NLP and conversational AI models.
    Improve chatbot understanding and response accuracy.
  • ✔️ Integrate chatbots with APIs and backend systems.
    Enable seamless communication across platforms.
  • ✔️ Train and fine‑tune chatbot models.
    Continuously improve performance and accuracy.
  • ✔️ Monitor chatbot performance and usage.
    Optimize conversations based on analytics.
  • ✔️ Develop multi‑channel chatbot solutions.
    Support web, mobile, and messaging platforms.
  • ✔️ Analyze user interactions and feedback.
    Enhance conversation flows and engagement.
  • ✔️ Implement intent recognition and entity extraction.
    Improve chatbot intelligence and usability.
  • ✔️ Ensure scalability of chatbot systems.
    Handle high volumes of user interactions.
  • ✔️ Debug and resolve chatbot issues.
    Maintain system reliability and efficiency.
  • ✔️ Collaborate with AI and product teams.
    Deliver innovative conversational solutions.
  • ✔️ Maintain chatbot documentation and workflows.
    Support development and maintenance activities.
  • ✔️ Integrate voice and text‑based interactions.
    Enhance user engagement across channels.
  • ✔️ Ensure data privacy and compliance standards.
    Protect user information and conversations.
  • ✔️ Use tools like Dialogflow, Rasa, or similar platforms.
    Develop advanced conversational AI solutions.
  • ✔️ Conduct testing and validation of chatbot systems.
    Ensure high‑quality user experience.
  • ✔️ Automate business workflows using chatbots.
    Improve operational efficiency.
  • ✔️ Stay updated with AI and chatbot technologies.
    Adopt latest trends and innovations.
  • ✔️ Improve chatbot UX and conversational design.
    Deliver seamless and intuitive interactions.
  • ✔️ Support deployment and ongoing maintenance.
    Ensure long‑term stability and performance.
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