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Chatbot Developer Jobs (NOW HIRING)

OKX

Principal AI Engineer, Chatbot Development

San Jose, CA · On-site

$250K - $375K/yr

OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto ... This is a hands-on technical role focused on building intelligent, autonomous chatbot systems ...

Software People, Inc.

AI Developer

Lansing, MI · On-site

... chatbot development tools • 3+years in RESTful APIs and webhooks • 3+years in SQL, R, and/or ... programming in the JBOSS Enterprise SOA environment including JBOSS Workflow. • 3+ years using ...

Jobgether

Our partner is looking for a Product Designer (Chatbot) based in Netherlands. Join a collaborative ... Collaborate closely with Product Managers, Business Analysts, Engineers, QA, and other stakeholders ...

OVA.Work

Conversational AI Developer

... support chatbot functionality and backend integrations. • Evaluate and improve chatbot ... Strong programming skills in Python; experience with JavaScript or TypeScript is a plus. • ...

Apex Informatics

Software DevOps Engineer

$54 - $74/hr

Software Engineer DevOps (Go / Chatbot Experience) 100% Remote This position is heavily utilizing Kubernetes technologies and will be focused on working with newer technologies and solving problems ...

CMP.jobs

Senior Webflow Developer

Zionsville, IN

$52.75 - $69.75/hr

You will also own key Martech tools -- including our chatbot and consent management platform -- serving as the technical bridge between Engineering and Marketing. You will collaborate closely with ...

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Chatbot Developer information

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$74.5K

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How much do chatbot developer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for chatbot developer in the United States is $93,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $95,000.00 per year, depending on experience, location, and employer.

Which 5 jobs will survive AI?

Chatbot Developers are likely to continue being in demand as AI advances because they design, implement, and maintain conversational AI systems that require human oversight and creativity. Jobs that involve complex problem-solving, emotional intelligence, and specialized skills—such as healthcare professionals, educators, software engineers, data scientists, and skilled tradespeople—are also expected to persist despite AI automation. These roles often require human judgment, adaptability, and interpersonal skills that AI cannot fully replicate.

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.

Is chatbot developer a good career?

A chatbot developer is a role focused on designing and building conversational AI systems using programming languages, natural language processing, and machine learning tools. It is a growing field with demand across industries such as customer service, healthcare, and finance, offering opportunities for specialization and career advancement. Success in this role often requires strong technical skills, problem-solving abilities, and familiarity with chatbot platforms and development environments.

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.

How to become a chatbot developer?

A chatbot developer typically needs a background in programming languages such as Python, JavaScript, or Java, along with knowledge of natural language processing and machine learning. Gaining experience with chatbot development platforms like Dialogflow, Microsoft Bot Framework, or Rasa is also important, and earning relevant certifications can enhance job prospects.

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 Chatbot Developers?

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 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.
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Chatbot Developer jobs near you
Infographic showing various Chatbot Developer job openings in the United States as of July 2026, with employment types broken down into 100% Contract. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $93,749 per year, or $45.1 per hour.
Solution Architect with CHATBOT

Solution Architect with CHATBOT

Avani Technology Solutions, Inc.

Orange, CA • On-site

$67.25 - $88.75/hr

Full-time

Re-posted 26 days ago

Job description

Description
1. 5+ years experience as an Application Data Architect. Finding a technical solution among all possible to solve the business problems. Providing solutions through design and development.
2. 5 years as a Business analyst gathering requirements, working with users and attending meetings.
3. 2 years implementing Chatbot (design & planning) - this is a MUST
The Application Data Solution Architect will play a key technical & functional role in providing architecture and design solutions for application enhancements and initiatives. This particular effort will be around Phase I: Design & Planning for Chatbot. They are either going to move forward with: IBM, Microsoft, Amazon or Google. This person will need to have implemted a Chatbot before from an architecture standpoint as well as BA skills to gather the information needed for vendor selection.
This role involves application/platform architecture, design decision and high level design documentation. This person should have Service Oriented Architecture- describing the structure, characteristics, behavior, and other aspects of software to project stakeholders experience. Moreover, they will be providing strategy for a solution while defining features, phases, and solution requirements. Taking strategies and prioritizing solutions for the team.
Ex. New technology requests come down from the business and they need to put it into a business domain architecture model to start building out a solution for it. This person will be responsible for finding a technical solution among all possible to solve the business problems. AKA- Chatbot vendor.
Responsibilities:
• Collaborate closely with other solution architects and developers to define and implement effective and efficient solutions to business challenges and opportunities.
Ensure application technology stack is in compliance with organization's standards. Be able to work with new technologies and leverage those technologies in order to come up with the appropriate solution.
• Reviews the technical low level design created by implementation teams and ensures its alignment with the solution architecture
• Provide multiple design options including vendor solutions and coming up recommendations to meet the organization needs. Perform productively at many levels, from the abstract world of enterprise architecture to the concrete day-to-day world of coding, in order to produce the final deliverable desire.
• Educational qualification: Experience in Auto finance, Master in finance is preferred. But extensive experience is suitable as well.

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