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Virtual Chatbot Jobs (NOW HIRING)

Product Specialist 5 / PS 5 (AI Chatbot Developer) Location: 77S High St Ste B1, Columbus, OH 43215 ... AI Virtual Assistant using Google CCAI Services, create and utilize Looker Dashboards for ...

... chatbot performance and functionality based on user feedback and analytics insights Desired Skills and Experience Solid experience developing chatbots or virtual assistants using the Genesys CloudCX ...

... Chatbot build experience with real examples · Support & troubleshooting mindset · Strong ... Virtual Agents) · Azure (backend foundations) · Microsoft ecosystem collaboration · Hybrid ...

Develop full‐stack application features and integration components for AI/ML and Virtual Reality solutions. * Build and maintain secure APIs and system connections. * Develop chatbot capabilities ...

Project requirements will include turning scripts and use cases into a virtual agent (ChatBot) that will guide a user to self help resolution, escalate a ticket with the required information to ...

... chatbot capabilities, such as complex intent handling, summarization, entity extraction, and response generation. * Hands-on experience building and maintaining cloud-native chat Virtual Agent ...

Google Cloud ML Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

... chatbot capabilities, such as complex intent handling, summarization, entity extraction, and response generation. * Hands-on experience building and maintaining cloud-native chat Virtual Agent ...

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Virtual Chatbot information

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How much do virtual chatbot jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for virtual chatbot in the United States is $24.40, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $27.40 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Virtual Chatbot, and why are they important?

To thrive as a Virtual Chatbot, you require expertise in natural language processing (NLP), conversational AI frameworks, and programming languages like Python or JavaScript. Familiarity with chatbot development platforms (such as Dialogflow, Microsoft Bot Framework, or IBM Watson), and experience with machine learning models are typically necessary. Strong problem-solving skills, creative thinking, and effective communication help design engaging, user-friendly interactions. These skills ensure the chatbot can accurately understand user intent, provide helpful responses, and continually improve user satisfaction.

What are some common challenges faced by professionals working as Virtual Chatbot developers or trainers?

One common challenge in the role of a Virtual Chatbot developer or trainer is ensuring the chatbot delivers accurate and contextually appropriate responses to diverse user queries. Professionals often need to continuously monitor conversations, identify areas where the chatbot may misunderstand intent, and update training data accordingly. Additionally, collaborating with cross-functional teams such as UX designers, content writers, and product managers is key to refining the chatbot’s performance and user experience. Staying updated with evolving natural language processing (NLP) technologies and user expectations is also essential for long-term success.

What are Virtual Chatbots?

Virtual chatbots are computer programs designed to simulate human conversation through text or voice interactions. They are commonly used on websites, messaging apps, and customer service platforms to assist users, answer questions, or guide them through various processes. Chatbots use artificial intelligence and natural language processing to understand user queries and provide relevant responses. They help businesses improve customer support efficiency by automating common tasks and providing instant assistance around the clock.

What is the difference between Virtual Chatbot vs Customer Service Representative?

AspectVirtual ChatbotCustomer Service Representative
Required SkillsBasic programming, AI understanding, communication skillsCommunication, problem-solving, interpersonal skills
Work EnvironmentOnline, remote, AI-driven platformsCall centers, retail stores, offices
Employer & Industry UsageTech companies, e-commerce, customer supportRetail, telecom, banking, hospitality

Virtual Chatbots are AI-powered tools designed to handle customer inquiries automatically, often working online and requiring technical skills. Customer Service Representatives are human employees who provide personalized support in various settings. While both roles aim to assist customers, chatbots automate routine tasks, whereas representatives offer personalized, complex assistance.

More about Virtual Chatbot jobs
What cities are hiring for Virtual Chatbot jobs? Cities with the most Virtual Chatbot job openings:
What are the most commonly searched types of Chatbot jobs? The most popular types of Chatbot jobs are:
What states have the most Virtual Chatbot jobs? States with the most job openings for Virtual Chatbot jobs include:
Chatbot, Conversational AI Engineer

Chatbot, Conversational AI Engineer

Euclid

Manhattan, NY • Remote

Other

Posted 24 days ago


Job description

Chatbot / Conversational AI Engineer

The Application Infrastructure team is seeking a motivated Chatbot / Conversational AI Engineer to join the Chatbot team. A successful candidate will participate in all aspects of software development, working directly with chatbot experts, other developers and engineers within the team, and our internal clients who wish to adopt chatbot solutions as part of technology service delivery.

Job Responsibilities
  • Act as a subject matter expert on the chatbot platform
  • Develop integrations in Python and Groovy that enable virtual agents to interoperate with various systems
  • Participate in every phase of the Software Development Lifecycle
  • Create Generative Artificial Intelligence solutions and drive their adoption
  • Understand, refine, and translate customer requirements into working software
  • Create and enhance various utilities that support the chatbot platform
  • Lead design and code reviews
  • Work closely with a global team of engineers, SREs, and conversational AI experts
  • Identify automation opportunities and lead the way in addressing them
  • Train and refine intent detection models
  • Continuous Improvement of production virtual agents
  • Measure, demonstrate, and articulate the value of Artificial Intelligence solutions and automation
  • Support POCs and product demonstrations
Qualifications

Primary Skill:

  • Strong knowledge of software design and best practices
  • Deep experience with Python coding and development
  • Experience with JavaScript and Node.js and other software development frameworks and libraries
  • Demonstrated knowledge and interest in Generative Artificial Intelligence / LLMs, model training, fine tuning and related APIs
  • Familiarity with CI/CD practices and experience with GitHub and Jenkins
  • Excellent written and verbal communication skills
  • Deep experience with Agile development practices such as Scrum
  • Strong background in Linux
  • Solid understanding of NLP and Artificial Intelligence / Machine Learning concepts

You might also have:

  • Experience designing, creating, and interfacing with Virtual Agents using Amelia, Kore.ai, Microsoft Copilot Studio or similar platform
  • Sourcing and labeling training data for ML models
  • Experience in generative Artificial Intelligence, and LLMs
  • Familiarity with DevOps practices
  • Knowledge of Docker, Kubernetes
  • Experience with cloud platforms such as AWS and Azure

Team Profile: Enterprise Technology & Services (ETS) delivers shared technology services for the Firm supporting all business applications and end users. ETS provides capabilities for all stages of the Firm's software development lifecycle, enabling productive coding, functional and integration testing, application releases, and ongoing monitoring and support for over 3,000 production applications. ETS also delivers all workplace technologies (desktop, mobile, voice, video, productivity, intranet/internet) in integrated configurations that boost the personal productivity of our employees. Application and end user services are delivered on a scalable, secure, and reliable infrastructure composed of seamlessly integrated datacenter, network, compute, cloud, storage, and database services. Within ETS, the Chatbot Team in Application Infrastructure provides a scalable Natural Language Understanding platform for designing and building virtual agent solutions that can be adapted to a variety of technology services.