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Bot Framework Jobs (NOW HIRING)

Forhyre

Tech Lead - Conversational AI

Charleston, WV

Experience with popular conversational AI platforms and frameworks such as Dialogflow, RASA, or Microsoft Bot Framework. * Proficiency in working with cloud platforms like AWS, Azure, or Google Cloud ...

Forhyre

Tech Lead - Conversational AI

Plano, TX

Experience with popular conversational AI platforms and frameworks such as Dialogflow, RASA, or Microsoft Bot Framework. * Proficiency in working with cloud platforms like AWS, Azure, or Google Cloud ...

Forhyre

Tech Lead - Conversational AI

New York, NY

Experience with popular conversational AI platforms and frameworks such as Dialogflow, RASA, or Microsoft Bot Framework. * Proficiency in working with cloud platforms like AWS, Azure, or Google Cloud ...

Forhyre

Tech Lead - Conversational AI

New York, NY

Experience with popular conversational AI platforms and frameworks such as Dialogflow, RASA, or Microsoft Bot Framework. * Proficiency in working with cloud platforms like AWS, Azure, or Google Cloud ...

TriOptus LLC

Technical Architect

Plano, TX · On-site

$63.25 - $76.50/hr

Experience with React, Node JS, MS Bot framework * Preferred experience in cloud technologies such as AWS, Azure, GCP, Docker, Kubernetes, Redis, Cassandra, Akamai, Ansible, Chef or Terraform

1 point system

Azure AI Architect with M365

Moline, IL · On-site

$57.25 - $74.75/hr

Hands-on experience with M365 Copilot, M365 Copilot Studio , Azure OpenAI , Azure Bot Framework , and Cognitive Services * Deep understanding of LLMs, RAG models , and vector database implementations ...

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How much do bot framework jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for bot framework in the United States is $68.77, according to ZipRecruiter salary data. Most workers in this role earn between $62.98 and $76.44 per hour, depending on experience, location, and employer.

What is a Bot Framework?

A Bot Framework is a set of tools, libraries, and services designed to help developers build, test, deploy, and manage chatbots and conversational agents. It provides the necessary infrastructure for handling messages, integrating with various channels (like Microsoft Teams, Slack, or Facebook Messenger), and adding features like natural language understanding and dialog management. The Microsoft Bot Framework, for example, allows developers to create bots in different programming languages and connect them to multiple platforms seamlessly. Using a bot framework can significantly reduce development time and complexity, making it easier to create scalable, interactive bots for various applications.

What are some common challenges faced by developers working with the Bot Framework, and how can they be addressed?

Developers working with the Bot Framework often encounter challenges such as handling natural language understanding, integrating with various communication channels, and ensuring a seamless user experience. To address these, it's important to thoroughly test bots across platforms, leverage tools like LUIS or QnA Maker for better language processing, and stay updated with framework documentation. Collaborating closely with UX designers and regularly collecting user feedback also helps in refining bot interactions and improving overall performance.

What is the difference between Bot Framework vs Chatbot Developer?

AspectBot FrameworkChatbot Developer
Primary FocusPlatform and tools for building, testing, and deploying chatbots and conversational AIDesigning, coding, and implementing specific chatbot applications
Required SkillsKnowledge of Microsoft Bot Framework, programming, AI integrationProgramming, natural language processing, chatbot design
Work EnvironmentDevelopment platforms, cloud services, collaboration with AI teamsCoding environments, client projects, deployment settings
Industry UsageUsed by organizations developing multiple chatbots and conversational AI solutionsUsed by developers creating individual chatbots for clients or products

The Bot Framework is a comprehensive platform for building and managing chatbots, while a Chatbot Developer focuses on creating specific chatbot applications using various tools, including the Bot Framework. The former provides the infrastructure, and the latter applies it to develop functional chatbots tailored to business needs.

What are the key skills and qualifications needed to thrive as a Bot Framework Developer, and why are they important?

To thrive as a Bot Framework Developer, you need strong programming skills (commonly in C# or JavaScript), a solid understanding of conversational AI, and experience with Microsoft Bot Framework and Azure services. Familiarity with tools like Bot Framework SDK, Azure Bot Service, and LUIS for natural language processing is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help developers design user-friendly and responsive bots. These skills are essential for creating robust, scalable, and engaging chatbot solutions that meet business and user needs.
More about Bot Framework jobs
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Bot Framework jobs near you
Infographic showing various Bot Framework job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $143,046 per year, or $68.8 per hour.

Tech Lead - Conversational AI

Forhyre

Charleston, WV

Full-time

Posted 20 days ago

Job description

At ChatBotz.ai, we are seeking a highly skilled and motivated Tech Lead to join our innovative team. As a Tech Lead - Conversational AI, you will play a crucial role in developing and implementing intelligent chatbot solutions that revolutionize businesses.

Responsibilities:

  • Lead the development and implementation of conversational AI solutions using cutting-edge technologies.
  • Collaborate with cross-functional teams to gather requirements and define project goals.
  • Design, develop, test, and deploy highly scalable and reliable chatbot solutions.
  • Ensure the quality, performance, and security of the chatbot applications.
  • Stay updated with the latest advancements in conversational AI technologies and integrate them into our solutions.
  • Provide technical guidance and mentorship to the development team.
  • Conduct code reviews and ensure adherence to coding best practices and standards.
  • Troubleshoot and resolve technical issues related to chatbot applications.
  • Collaborate with stakeholders to define project timelines, deliverables, and milestones.
  • Stay up-to-date with industry trends and emerging technologies related to conversational AI.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Tech Lead or similar role in developing conversational AI solutions.
  • Strong programming skills in languages such as Python, Java, or JavaScript.
  • In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques.
  • Experience with popular conversational AI platforms and frameworks such as Dialogflow, RASA, or Microsoft Bot Framework.
  • Proficiency in working with cloud platforms like AWS, Azure, or Google Cloud Platform.
  • Familiarity with chatbot development tools and libraries.
  • Strong problem-solving skills and ability to think creatively.
  • Excellent communication and leadership abilities.

Join our dynamic team at ChatBotz.ai and be part of revolutionizing businesses through intelligent chatbot solutions. Apply now and contribute to creating personalized and interactive experiences for users while streamlining customer support, enhancing sales processes, and delivering exceptional 24/7 customer service.