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Assistant Chatbot Developer Jobs (NOW HIRING)

AI Chatbot Developer Location: Pennington, NJ Fulltime position Onsite position JD: Skill: AI ... Coding Assistants: Practical use of GitHub Copilot to accelerate development. * Frontend (Optional)

This role focuses on developing and implementing chatbot solutions using IBM Watson Assistant and ... Apply DevOps approaches for continuous integration and deployment * Implement CI/CD pipelines, Git ...

... Assistant SDK, or other Google Cloud chatbot development tools • 3+years in RESTful APIs and ... programming in the JBOSS Enterprise SOA environment including JBOSS Workflow. • 3+ years using ...

Senior Mobile Engineer

$170.85K - $201K/yr

The Opportunity: Sr. Mobile Engineer, Tilt Labs Tilt Labs is our product experimentation pod ... Assistant chatbot, improving engagement, response quality, and re-engagement flows. * Navigate ...

AI ML Software Engineer

Annapolis, MD · On-site +1

$113.30K - $136.10K/yr

... Coud, DevOps, Data Solutions, and AI/ML. This role is a client-facing assignment supported and ... External chatbot development (conversational, user-facing) * RPA tools using local LLMs and ...

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Assistant Chatbot Developer information

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 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 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 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:
Infographic showing various Assistant Chatbot Developer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

AI Chatbot Developer

Sarian, Inc.

Pennington, NJ • On-site

Full-time

Posted 9 days ago


Job description

Role: AI Chatbot Developer
Location: Pennington, NJ
Fulltime position
Onsite position
JD:
Skill: AI Chatbot Developer
  • 6 - 12 Years
  • Languages: Python (required), JavaScript/Node.js (preferred).
  • Frameworks: Flask, FastAPI (or Django).
  • AI Tools: Strong experience with OpenAI's ChatGPT or GPT APIs.
  • Skilled in prompt engineering and managing conversational context.
  • Coding Assistants: Practical use of GitHub Copilot to accelerate development.
  • Frontend (Optional): React, HTML/CSS/Bootstrap.
  • Version Control: Git/GitHub.
  • DevOps/Deployment: Basic experience with deployment on cloud platforms like AWS, Heroku, or Render.
  • Testing & Debugging: Strong debugging and validation skills for chatbot logic and responses.
  • Design, build, and maintain intelligent chatbots powered by ChatGPT (OpenAI GPT-4+).
  • Use GitHub Copilot to streamline code development, generate scaffolds, and accelerate feature delivery.
  • Create and integrate REST APIs for chatbot communication and backend logic.
  • Engineer prompts, personas, and system/user roles to ensure chatbot quality and tone.
  • Develop backend applications using Python with frameworks like Flask or FastAPI.
  • (Optional) Build or collaborate on front-end interfaces using HTML/CSS/React.
  • Deploy chatbot solutions to cloud platforms (AWS, Render, Heroku, etc.).
  • Debug, monitor, and improve chatbot performance based on real-time feedback.
  • Document technical implementations and review Copilot-generated code for accuracy and security.
  • Collaborate with cross-functional teams (UX/UI, Product, Content) to deliver effective AI interactions.

Thanks, and have a nice day
Manikanth
Sarian Solutions, Inc. |Ph: 732-790-2266 x 201 |Fax: 732-696-4242|manikanth.d@sariansolutions.com
www.sariansolutions.com | Certified Minority Business Enterprise (WMBE)
follow us: @sariansol | Check our current openings at https://www.sarianinc.com/work-with-us