... effective chatbot interactions. Experience with fine-tuning pre-trained models and customizing ... Rasa, or similar.
... effective chatbot interactions. Experience with fine-tuning pre-trained models and customizing ... Rasa, or similar.
Lead UI & UX Designer
Lowell, MA · On-site
This is not a traditional chatbot space. We are defining how AI operates inside high-stakes HCM ... Familiarity with tools such as Dialogflow, Rasa, Voiceflow, or similar * Experience collaborating ...
Lead UI & UX Designer
Lowell, MA · On-site
This is not a traditional chatbot space. We are defining how AI operates inside high-stakes HCM ... Familiarity with tools such as Dialogflow, Rasa, Voiceflow, or similar * Experience collaborating ...
Rasa Chatbot information
See salary details
$28.37 - $32.71
4% of jobs
$32.71 - $37.06
2% of jobs
$37.06 - $41.41
6% of jobs
$41.41 - $45.76
11% of jobs
$46.58 is the 25th percentile. Wages below this are outliers.
$45.76 - $50.11
9% of jobs
$50.11 - $54.46
15% of jobs
The median wage is $55.55 / hr.
$54.46 - $58.81
13% of jobs
$62.31 is the 75th percentile. Wages above this are outliers.
$58.81 - $63.16
19% of jobs
$63.16 - $67.50
5% of jobs
$67.50 - $71.85
11% of jobs
$71.85 - $76.20
5% of jobs
$28
$55
$76
How much do rasa chatbot jobs pay per hour?
As of Jun 8, 2026, the average hourly pay for rasa chatbot in the United States is $55.77, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $63.46 per hour, depending on experience, location, and employer.
What is a Rasa Chatbot?
A Rasa Chatbot is an AI-driven conversational assistant built using the Rasa open-source framework. Rasa enables developers to build, train, and deploy chatbots that can understand natural language and manage complex conversations. It is highly customizable and works locally or on your own infrastructure, giving you full control over data privacy and integrations. Rasa Chatbots are commonly used for customer support, automation, and interactive user experiences in various industries.
What are some common challenges faced when developing and maintaining a Rasa Chatbot in a production environment?
Developing and maintaining a Rasa Chatbot in production often involves challenges such as ensuring high-quality training data, managing updates to conversational flows, and integrating the chatbot with existing systems. It's common to encounter issues with intent recognition accuracy as user queries diversify, requiring ongoing monitoring and retraining. Additionally, collaborating effectively with product managers, developers, and data scientists is essential to address user feedback and continuously improve the bot's performance. Regular testing and deployment coordination are also key parts of the role.
What are the key skills and qualifications needed to thrive as a Rasa Chatbot Developer, and why are they important?
To thrive as a Rasa Chatbot Developer, you need strong programming skills in Python, experience with natural language processing (NLP), and a good understanding of conversational AI concepts. Familiarity with the Rasa framework, API integrations, and version control systems like Git is typically required, along with knowledge of machine learning basics. Excellent problem-solving skills, attention to detail, and effective communication help developers create intuitive and user-friendly chatbot experiences. These skills ensure robust, scalable, and user-focused chatbots that meet organizational needs and drive customer engagement.
What is the difference between Rasa Chatbot vs Chatbot Developer?
| Aspect | Rasa Chatbot | Chatbot Developer |
|---|---|---|
| Credentials | Knowledge of Rasa framework, Python, NLP | Programming skills, experience with chatbot platforms |
| Work Environment | Developing conversational AI, testing, deploying chatbots | Designing, coding, maintaining chatbots across platforms |
| Industry Usage | AI-driven customer service, virtual assistants | Customer support, sales, automation solutions |
Rasa Chatbot refers to the AI framework used to build conversational agents, focusing on the technical development of chatbots. A Chatbot Developer is a professional who designs, codes, and maintains chatbots, often utilizing platforms like Rasa. While Rasa Chatbot is a tool or framework, Chatbot Developer is a role that may involve working with Rasa or other platforms to create functional chatbots for various industries.
Job description
CANDIDATES MUST BE LOCAL TO NYC NO OUT OF STATE APPLICANTS
NO 3RD PARTIES
NO SUB VENDORS
Candidates Must be Local to NYC and wiiling to work In NYC
NO SUB VENDORS
Minimum of 5 years of professional experience in AI development and deployment, with a strong emphasis on Generative AI and Conversational AI.
Extensive hands-on experience with AWS Bedrock, including deploying and integrating various Foundation Models (FMs).
Demonstrable experience utilizing AWS Q for code generation, analysis, and integration within development workflows, particularly in the context of AI applications.
Deep understanding of different Generative AI models (text, image, etc.) and Conversational AI techniques (dialogue management, intent recognition, entity extraction).
Proven ability to evaluate and select appropriate AI models and conversational AI platforms based on specific requirements and performance metrics.
Strong experience with AWS AI/ML services (e.g., SageMaker, Comprehend, Translate, Polly, Lex) and their integration with Generative and Conversational AI models.
Solid understanding of prompt engineering techniques for eliciting desired outputs from LLMs and designing effective chatbot interactions.
Experience with fine-tuning pre-trained models and customizing conversational AI agents for specific tasks and domains is highly desirable.
Preferred experience in developing and deploying AI chatbots or conversational agents using platforms like Amazon Lex, Dialogflow, Rasa, or similar.
About C&G Consulting Services
Sourced by ZipRecruiter
Industry
Recruiting and staffing services
Company size
201 - 500 Employees
Headquarters location
Parsippany, NJ, US