... prompt engineering, RAG systems, CRM workflows, and enterprise automation use cases. Program ... Base Chatbot AI Sales Outreach Assistant AI Resume Screening System AI Interview Evaluation ...
... prompt engineering, RAG systems, CRM workflows, and enterprise automation use cases. Program ... Base Chatbot AI Sales Outreach Assistant AI Resume Screening System AI Interview Evaluation ...
... Base Chatbot • AI Sales Outreach Assistant • AI Resume Screening System • AI Interview ... Developers & Engineers • Business Analysts • Career Transition Candidates • Automation ...
... Base Chatbot • AI Sales Outreach Assistant • AI Resume Screening System • AI Interview ... Developers & Engineers • Business Analysts • Career Transition Candidates • Automation ...
Familiarity with Jira, Confluence, Azure DevOps, Visio, Lucidchart, Miro, FigJam, Power BI, Excel ... Experience supporting OCR, NLP, AI, ML, analytics, or chatbot solutions in business settings.
New
Familiarity with Jira, Confluence, Azure DevOps, Visio, Lucidchart, Miro, FigJam, Power BI, Excel ... Experience supporting OCR, NLP, AI, ML, analytics, or chatbot solutions in business settings.
New
Chatbot Developer information
See Minnesota salary details
$73K - $77.6K
20% of jobs
$78.5K is the 25th percentile. Wages below this are outliers.
$77.6K - $82.2K
26% of jobs
The median wage is $84.5K / yr.
$82.2K - $86.9K
7% of jobs
$86.9K - $91.5K
0% of jobs
$95.1K is the 75th percentile. Wages above this are outliers.
$91.5K - $96.1K
27% of jobs
$96.1K - $100.7K
0% of jobs
$100.7K - $105.4K
0% of jobs
$105.4K - $110K
2% of jobs
$110K - $114.6K
5% of jobs
$114.6K - $119.3K
6% of jobs
$119.3K - $123.9K
5% of jobs
$73K
$91.8K
$123.9K
How much do chatbot developer jobs pay per year?
As of Aug 2, 2026, the average yearly pay for chatbot developer in Minnesota is $91,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,400.00 and $93,000.00 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?
| Aspect | Chatbot Developer | AI Developer |
|---|---|---|
| Required Credentials | Programming skills, knowledge of chatbot platforms, basic AI understanding | Advanced AI/ML certifications, programming, data science background |
| Work Environment | Tech companies, customer service, e-commerce, startups | Research labs, tech firms, industries applying AI solutions |
| Employer & Industry Usage | Focus on conversational interfaces, customer engagement | Broader AI applications, including machine learning, NLP, robotics |
| Search & Comparison Intent | Understanding chatbot roles, skills, and job scope | Exploring 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
What are popular job titles related to Chatbot Developer jobs in Minnesota? For Chatbot Developer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Chatbot Developer jobs in Minnesota look for? The top searched job categories for Chatbot Developer jobs in Minnesota are:
Other
Re-posted 26 days ago
Job description
Agentic AI Experience Program (Remote)
8-Week Weekend-Based Project Exposure & Mentorship Program
SAPSOL Technologies Inc. is inviting interested learners to join a remote Agentic AI Experience Program focused on AI workflow automation, enterprise AI systems, AI agents, n8n workflows, APIs, and real-world automation use cases.
Important Note:
This is a structured learning, mentorship, and project exposure program.
This is not a job, internship, employment opportunity, recruitment drive, or placement offer.
About the Program
This program is designed to help participants gain hands-on exposure to modern AI automation tools and enterprise workflow systems through guided weekend sessions, real-time scenario-based exercises, and project-oriented implementation activities.
Participants will work on practical AI automation concepts used in business environments, including workflow design, API integrations, AI agents, prompt engineering, RAG systems, CRM workflows, and enterprise automation use cases.
Program Highlights
Remote weekend-based live sessions
Mentor-guided project walkthroughs
Real-time scenario-based project exposure
Hands-on AI workflow automation activities
Portfolio-oriented project work
Team-based collaboration activities
Guided workflow testing and documentation
Exposure to enterprise AI implementation concepts
Capstone-style project experience
Technologies & Tools Covered
Participants may gain exposure to:
n8n Workflow Automation
Webhooks & REST APIs
OpenAI / LLM Integrations
AI Agents & Agentic Workflows
Prompt Engineering
RAG System Concepts
PostgreSQL / Airtable Concepts
Google Sheets / Gmail Integrations
Slack / CRM Workflow Integrations
Workflow Testing & Documentation
Project Exposure Areas
Participants may work on guided project scenarios such as:
AI Email Summarizer
AI LinkedIn Content Generation Engine
AI Research Assistant
AI Knowledge Base Chatbot
AI Sales Outreach Assistant
AI Resume Screening System
AI Interview Evaluation Workflow
AI Customer Support Chatbot
AI Ticket Classification System
AI Document Processing Workflow
Multi-Agent Workflow Automation System
Capstone Project Exposure
As part of the program, participants may work on a capstone-style enterprise AI workflow involving:
Input Agent
Decision Agent
Action Agent
Logging Agent
Reporting Dashboard
Participants may also gain exposure to real project documentation practices such as:
Business Requirement Document
Functional Specification
Process Flow Diagram
Prompt Library
Test Cases
UAT Document
Final Demo Presentation
Who This Program Is For
This program may be suitable for:
Students & Recent Graduates
Developers & Engineers
Business Analysts
Career Transition Candidates
Automation Enthusiasts
Freelancers & Founders
Professionals interested in AI workflow automation
No advanced coding background is required for beginners who are willing to learn.
Program Structure
Weekend-based remote live sessions
Saturday: AI concepts, live builds, use cases, and architecture walkthroughs
Sunday: Guided project implementation, doubt solving, and portfolio-oriented work
Structured learning path from AI foundations to enterprise workflow systems
Important Clarification
This is a paid project experience and mentorship program.
It does not include salary, employment, internship placement, or job guarantee.
Program fees are related to mentorship, learning infrastructure, tools access, project environments, and guided project support.
Enrollment Process
Interested participants may share:
Brief background summary
Technical interests
LinkedIn profile, optional
Weekend availability
To register your interest, contact:
sushma@sapsol.com
About SAPSOL Technologies Inc. : Systems and Process Solutions for your Enterprise
Sourced by ZipRecruiter
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Santa Clara, CA, US
Year founded
2006