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Chatbot Developer Jobs in Minnesota (NOW HIRING)

Cognizant

Full Stack Java Developer,

Minneapolis, MN · On-site

$81K - $136K/yr

About the Role As a Full Stack Java Developer , you will make an impact by designing, developing ... Contribute to AI chatbot and Retrieval-Augmented Generation (RAG) initiatives when applicable. Work ...

Cognizant

Full Stack Java Developer

Minneapolis, MN · On-site

$81K - $136K/yr

About the Role As a Full Stack Java Developer , you will make an impact by designing, developing ... Contribute to AI chatbot and Retrieval-Augmented Generation (RAG) initiatives when applicable. Work ...

Expleo

Customer AI Operations Engineer

Minneapolis, MN · On-site +1

$72K - $98K/yr

Hands-on experience with Microsoft Copilot Studio, Salesforce Agentforce, enterprise chatbot ... Analytics, Engineering, or a related discipline, or equivalent practical experience * Relevant ...

Expleo

Customer AI Operations Engineer

Minneapolis, MN · On-site +1

$72K - $98K/yr

Hands-on experience with Microsoft Copilot Studio, Salesforce Agentforce, enterprise chatbot ... Analytics, Engineering, or a related discipline, or equivalent practical experience * Relevant ...

Expleo

Customer AI Operations Engineer

Minneapolis, MN · On-site

$72K - $98K/yr

Hands-on experience with Microsoft Copilot Studio, Salesforce Agentforce, enterprise chatbot ... Analytics, Engineering, or a related discipline, or equivalent practical experience * Relevant ...

Trissential, LLC

Customer AI Operations Engineer

Eyota, MN · On-site

$72K - $97K/yr

Hands-on experience with Microsoft Copilot Studio, Salesforce Agentforce, enterprise chatbot ... Analytics, Engineering, or a related discipline, or equivalent practical experience * Relevant ...

First American

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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All JobsChatbot Developer JobsChatbot Developer Jobs in Minnesota

Chatbot Developer information

See Minnesota salary details

$73K

$91.8K

$123.9K

How much do chatbot developer jobs pay per year?

As of Sep 13, 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.

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 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:

Chatbot Developer jobs near you
Infographic showing various Chatbot Developer job openings in Minnesota as of August 2026, with employment types broken down into 83% Full Time, 2% Part Time, and 15% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $91,819 per year, or $44.1 per hour.

Agentic AI Workflow Engineer Project Experience Program

Houston, MN • Remote

Sapsol Technologies Inc
IT Services • 11 - 50 employees
Learn more about Sapsol Technologies Incexternal

Full-time

Re-posted 7 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

Apply