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Assistant Chatbot Developer Jobs (NOW HIRING)

IVR / Chatbot Development, including deep knowledge of best practices in IVR and chatbot creation ... Apply security best practices and compliance requirements (PCI-DSS, GDPR, etc.). * Assist in ...

... Engineering, Operations, Technical). Review project proposals, ensure projects adhere to contract ... Monitor system performance, flag issues, and assist with troubleshooting to keep the chatbot ...

About the Role The Conversational Assistants team brings together Uber's products, state of the art ... You will also be leading the NLP based chatbot to GenAI based chatbot migrations as well as ...

The successful candidate will support configuration and assist with optimizing secure Azure OpenAI ... Design and build Generative AI applications, intelligent agents, and chatbot solutions that ...

**About the Role**The Conversational Assistants team brings together Uber's products ... You will also be leading the NLP based chatbot to GenAI based chatbot migrations as well as ...

... Engineering, Operations, Technical). Review project proposals, ensure projects adhere to contract ... Monitor system performance, flag issues, and assist with troubleshooting to keep the chatbot ...

... Engineering, Operations, Technical). Review project proposals, ensure projects adhere to contract ... Monitor system performance, flag issues, and assist with troubleshooting to keep the chatbot ...

The successful candidate will support configuration and assist with optimizing secure Azure OpenAI ... Design and build Generative AI applications, intelligent agents, and chatbot solutions that ...

The successful candidate will support configuration and assist with optimizing secure Azure OpenAI ... Design and build Generative AI applications, intelligent agents, and chatbot solutions that ...

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Assistant Chatbot Developer information

What are some common challenges faced by Assistant Chatbot Developers when integrating chatbots with existing systems?

Assistant Chatbot Developers often encounter challenges when integrating chatbots with existing platforms such as customer relationship management (CRM) tools, databases, or third-party APIs. These challenges include ensuring data compatibility, maintaining security standards, and addressing latency issues for real-time interactions. Successful integration typically requires close collaboration with IT and development teams, as well as thorough testing to identify and resolve any bugs or inconsistencies. Being proactive in communication and documentation can help streamline the integration process and deliver a seamless user experience.

What is the difference between Assistant Chatbot Developer vs Chatbot Developer?

AspectAssistant Chatbot DeveloperChatbot Developer
Required SkillsNatural language processing, AI integration, scriptingAI, NLP, software development, API integration
Work EnvironmentTech companies, customer service platforms, AI startupsSoftware firms, AI companies, enterprise solutions
Common UsageBuilding virtual assistants for specific tasksDesigning complex chatbots for various industries

Assistant Chatbot Developers focus on creating virtual assistants that handle specific tasks, often with a user-friendly interface. Chatbot Developers build more complex, multi-purpose chatbots for broader applications. Both roles require similar skills in AI and NLP but differ in scope and complexity.

What are the key skills and qualifications needed to thrive as an Assistant Chatbot Developer, and why are they important?

To thrive as an Assistant Chatbot Developer, you need foundational programming skills (such as Python or JavaScript), understanding of natural language processing (NLP) concepts, and a relevant degree or coursework in computer science or related fields. Familiarity with chatbot frameworks (like Dialogflow or Microsoft Bot Framework), API integration, and version control systems (such as Git) is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork are important soft skills for success in this role. These skills ensure the creation of functional, user-friendly chatbots that meet business requirements and deliver a seamless user experience.

What are Assistant Chatbot Developers?

Assistant Chatbot Developers are professionals who design, build, and maintain chatbot systems that interact with users through text or voice interfaces. They work on programming chatbots to understand user queries and deliver accurate, helpful responses. These developers use natural language processing (NLP) and machine learning tools to enhance chatbot capabilities and improve user experiences. Their work often involves collaborating with UX designers, data scientists, and software engineers.
What cities are hiring for Assistant Chatbot Developer jobs? Cities with the most Assistant Chatbot Developer job openings:
What are the most commonly searched types of Chatbot Developer jobs? The most popular types of Chatbot Developer jobs are:
What states have the most Assistant Chatbot Developer jobs? States with the most job openings for Assistant Chatbot Developer jobs include:
What job categories do people searching Assistant Chatbot Developer jobs look for? The top searched job categories for Assistant Chatbot Developer jobs are:
Infographic showing various Assistant Chatbot Developer job openings in the United States as of June 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.
Agentic AI Workflow Engineer Project Experience Program

Agentic AI Workflow Engineer Project Experience Program

Sapsol Technologies Inc

Houston, MN • Remote

Other

Posted 17 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