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Assistant Chatbot Developer Jobs (NOW HIRING)

Snap-On Tools

Support Engineer

Kenosha, WI · On-site

$55 - $75/hr

Explore and assist in implementing AI-driven support workflows (e.g., chatbot triage, auto ... Strong collaboration across engineering, product, and support teams #J-18808-Ljbffr

Snap-on Inc

Support Engineer

Kenosha, WI · On-site

Explore and assist in implementing AI-driven support workflows (e.g., chatbot triage, auto ... Strong collaboration across engineering, product, and support teams Employment Type: FULL_TIME

Corning

Lead or support chatbot, RAG, conversational AI, agentic AI, and AI assistant integration ... Mentor engineers and help grow the AI engineering capability within COC Digital & IT. What do you ...

Corning

At Corning, we are looking for an AI Engineer to help build, implement, and support AI-enabled ... assistant tools, chatbot-style workflows, and internal AI capabilities. - Assist with MCP ...

Corning

At Corning, we are looking for an AI Engineer to help build, implement, and support AI-enabled ... assistant tools, chatbot-style workflows, and internal AI capabilities. - Assist with MCP ...

Flex

Lead, CS AI Content

New York, NY

Write and maintain AI-native content across chatbot, voicebot, and agent assist tools, including ... Ability to collaborate effectively with cross-functional partners including Product, Engineering ...

MSR Cosmos

Google Cloud ML Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

Dallas, TX (Day1 Onsite) Duration: Long Term We seek an experienced developer to design, build, and ... Solid understanding and practical application of MLOps best practices for chatbot pipelines ...

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Assistant Chatbot Developer information

What is an assistant chatbot developer?

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 are the key skills and qualifications needed to thrive as an assistant chatbot developer?

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 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 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:

Assistant Chatbot Developer jobs near you
Infographic showing various Assistant Chatbot Developer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Support Engineer

Snap-On Tools

Kenosha, WI • On-site

$55 - $75/hr

Other

This job post has expired today. Applications are no longer accepted.

Snap-on rating

7.4

Company rating: 7.4 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

296th of 499 rated machine equipment manufacturers

Job description

Overview

We are looking for an Entry-Level Support Engineer with 2-3 years of experience to support and troubleshoot modern web applications built on an Azure and SQL-based stack. This role is ideal for someone who enjoys digging into application issues, working with data, and exploring emerging tools like AI agents to improve support operations.

Responsibilities
  • Troubleshoot and resolve issues across web applications, APIs, and backend services
  • Analyze application behavior using logs, SQL queries, and Azure monitoring tools (e.g., Application Insights, Elastic Log Analytics)
  • Manage and prioritize support queues based on severity, impact, and SLAs
  • Investigate data issues using SQL (joins, filtering, aggregations) to identify root causes
  • Collaborate with product managers, business analysts, and developers to clearly define bugs and expected behavior
  • Document issues and translate findings into well-structured bug reports, user stories, or functional specs
  • Assist in validating bug fixes and supporting release testing
  • Contribute knowledge base articles and support playbooks
  • Explore and assist in implementing AI-driven support workflows (e.g., chatbot triage, auto-classification, or response suggestions)
Qualifications
  • Bachelor’s degree in computer science, Information Systems, or related field (or equivalent practical experience)
  • Strong foundational SQL skills (queries, joins, basic performance awareness)
  • Understanding of web application architecture (frontend, backend, APIs)
  • Familiarity with Azure ecosystem (App Services, Azure SQL, monitoring tools)
  • Ability to troubleshoot issues using logs, error messages, and system behavior
  • Strong analytical and problem-solving skills
  • Ability to manage multiple tasks in a queue-driven support environment
  • Clear communication skills for both technical and non-technical audiences

Preferred Qualifications

  • Exposure to JavaScript-based web applications or REST APIs
  • Experience with tools like Azure Application Insights, Log Analytics, or similar observability platforms
  • Familiarity with ticketing systems (Jira)
  • Basic understanding of Agile, product management, or business analysis practices
  • Exposure to AI tools or LLM-based support agents (e.g., chatbot workflows, prompt tuning, or automation tools like n8n)
  • Experience writing bug reports, acceptance criteria, or functional specifications

Key Competencies

  • Structured problem-solving and root cause analysis
  • Ability to translate issues into actionable technical and functional requirements
  • Ownership mindset with attention to detail
  • Curiosity and willingness to experiment with AI-driven support improvements
  • Strong collaboration across engineering, product, and support teams
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