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Chatbot Developer Jobs (NOW HIRING)

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ERP/SAP AI Developer

Northbrook, IL · On-site

Design and develop AI chatbot and AI agent solutions aligned to business use cases and intents ... Support prompt engineering, response tuning, and model interaction workflows * Optimize performance ...

Inficare Technologies

Salesforce Developer

Hartford, CT · On-site

$56 - $74.25/hr

Salesforce Developer Location: Hartford, CT (Remote) * Salesforce Platform Developer I (PD1 ... Familiarity with IVR technologies such as Avaya, Cisco, or chatbot platforms * Experience with ...

Diligent Tec, Inc.

AI/ML Engineer

Scottsdale, AZ · On-site

Role: AI/ML Engineer Location: Scottsdale, AZ (Hybrid) Duration: Full Time We are seeking an ... and chatbot development, with a proven track record of using Python to build and deploy ...

Tata Consultancy Services

ServiceNow Developer

Dearborn, MI · On-site

$49.75 - $68.50/hr

... and Chatbot workflow creation and configuration. Qualifications : Required : • BACHELOR OF ... other developers to gather requirements and ensure alignment with enterprise integration ...

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 ...

General Investment LLC

PR · On-site

Integrate AI-based solutions such as Azure OpenAI, AI Search, and chatbot technologies. * Develop ... Mentor and support junior developers and development teams. * Troubleshoot, debug, and enhance ...

Saransh Inc

Agentic AI Developer

Jersey City, NJ · On-site

AI enabled chatbot Langchain TensorFlow Java PyTorch RASA Python AI Experience: 10-14 yrs Required ... programming languages such as Python, Java, or similar. • Experience with AI frameworks and ...

Redolent, Inc

Back-End Engineer (.NET/F#)

Hoboken, NJ · On-site

Seeking BE engineers for chatbot development in .NET and F# (functional programming) . Engineers with functional programming experience will be given preference but experience is not a strict ...

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Chatbot Developer information

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$74.5K

$93.7K

$126.5K

How much do chatbot developer jobs pay per year?

As of Jun 12, 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 3 jobs will survive AI?

For a Chatbot Developer, roles that require complex problem-solving, creativity, and emotional intelligence are more likely to survive AI automation. These include positions like AI ethicists, user experience designers, and cybersecurity specialists, which involve nuanced judgment and human oversight. Continuous learning and specialized skills in AI tools and programming languages can also help ensure job security in this field.

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 designs and builds conversational AI systems, often requiring skills in programming, natural language processing, and machine learning. The field is growing due to increased demand for automated customer service and virtual assistants, offering opportunities in various industries with competitive salaries and potential for career advancement.

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?

To become a chatbot developer, you should learn programming languages such as Python or JavaScript, gain experience with natural language processing tools like Dialogflow or Rasa, and understand API integration. Building a portfolio of chatbot projects and obtaining relevant certifications can also enhance your prospects in this field.

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.
More about Chatbot Developer jobs
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Chatbot Developer jobs near you
Infographic showing various Chatbot Developer job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $93,749 per year, or $45.1 per hour.
Application Developer

Application Developer

RICEFW Technologies, Inc.

Salt Lake City, UT • On-site

Contractor

Posted 5 days ago

Job description

Job Title: Senior Java Developer (Business Automation & AI)
We are seeking a Java Developer (3-5 years) to join our team and contribute experience and technical expertise to our business logic and self-service support systems. You will be responsible for maintaining and migrating complex business rules using Drools and Kogito. Simultaneously building out our next-generation AI Chatbot infrastructure. A key focus of this role is the digital transformation of our legacy documentation (Adobe RoboHelp) into a high-performance Knowledge Base using AWS Bedrock and RAG (Retrieval-Augmented Generation) architectures.
Key Responsibilities:
  • Business Automation: Design, develop, and maintain complex decision services using Drools (DRL) and migrate legacy workflows to cloud-native Kogito microservices.
  • AI Implementation: Architect and manage AWS Bedrock Knowledge Bases, ensuring the LLM provides accurate, context-aware responses.
  • Data Pipeline & ETL: Build automated pipelines to extract, clean, and convert legacy Adobe RoboHelp content into optimized Markdown/Vector formats stored in Amazon S3.
  • Backend Development: Develop high-performance RESTful APIs using Quarkus or Spring Boot to integrate AI chatbot capabilities into our core Java applications.
  • Cloud Orchestration: Deploy and scale business automation services within a Kubernetes/OpenShift environment.

Required Technical Skills:
  • Java Mastery: 3-5 years of professional experience with Java (8/11/17+), including Spring Boot or Quarkus.
  • Rule Engines: Hands-on experience writing and debugging Drools rules and implementing DMN (Decision Model and Notation).
  • Cloud Native Automation: Proven experience with Kogito for building cloud-native business processes.
  • AWS AI/ML Stack: Experience configuring AWS Bedrock (Knowledge Bases, Agents, or Prompt Engineering).
  • **Proficiency in managing Amazon S3 for large-scale document storage and metadata tagging.
  • Documentation Transformation: Experience (or strong scripting ability) in converting Adobe RoboHelp (HTML/XML) into structured formats (Markdown/JSON) for AI consumption.
  • Modern DevOps: Experience with Git, CI/CD pipelines, and containerization (Docker/Kubernetes).

Preferred Qualifications:
  • Experience with Vector Databases (Amazon OpenSearch, Pinecone, or Milvus).
  • Understanding of Python (specifically for BeautifulSoup/Pandoc-based document parsing).
  • Knowledge of BPMN 2.0 standards.
  • AWS Certified Developer or AWS Machine Learning Specialty certification.

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