ZipRecruiter

Log In

1

Chatbot Jobs (NOW HIRING)

Software People, Inc.

Chatbot Developer

Los Angeles, CA · On-site

Chatbot Developer Location: Los Angeles, CA Duration: 12+ months Phone/Skype Hire. Onsite from day 1 Responsibilities * Design and develop NLU application (chatbot) using Lex. Design Conversational ...

Sarian, Inc.

AI Chatbot Developer

Pennington, NJ · On-site

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)

Bayforce

AI Chatbot Developer

Manhattan, NY · Remote

Provide hands-on coding expertise for chatbot solutions, including automation of basic workplace functions. Design a scalable and sustainable AI framework to support long-term chatbot deployment and ...

SmartIPlace

AI Chatbot Developer[Remote]

Columbus, OH · Remote

Product Specialist 5 / PS 5 (AI Chatbot Developer) Location: 77S High St Ste B1, Columbus, OH 43215 Visa: USC,H1B, H4-EAD, OPT-EAD Interview Type: Teams Remote, however, if there are any meetings or ...

Triveni IT

AI/Chatbot Developer

Princeton, NJ · Remote

AI/Chatbot Developer Duration: 6 Month contract initially with likely extensions Expected Start Date: As soon as possible Sr. developers with experience in conversational AI system (chatbot) from any ...

3B Staffing LLC

Prompt AI Chatbot Engineer

Hartford, CT · On-site

Prompt AI Chatbot Engineer CVS Onsite role in Hartford, CT **MUST BE LOCAL** USC, GC or GC EAD ONLY **PLEASE ENSURE TO PROVIDE ID WITH SUBMISSION ALONG WITH LINKED IN PROFILE. LINKED IN MUST BE UP TO ...

Elite WorkForce Inc

AI Chatbot Developer at OH

OH · Remote

AI Chatbot Developer Location: Online (Locals preferred) Client: State of Ohio Duration: 12+ Months We are seeking an experienced AI Chatbot Developer with expertise in creating intelligent chatbot ...

Two Dots

Chatbot Engineer

San Francisco, CA · On-site

They are seeking a Chatbot Engineer who will develop consumer-facing chat agents that interact with complex workflows, requiring a blend of technical skills and user empathy to ensure quality user ...

Relevance Lab

Chatbot Developer

* Chatbot Developer/Gen AI with RASA experience. * Long term contract, Mon - Fri 40 hours per week. How to Apply Be part of a collaborative, fast-paced team at the forefront of innovation and ...

next page

Showing results 1-20

People also search for

All JobsChatbot Jobs

Chatbot information

See salary details

$28

$55

$76

How much do chatbot jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for 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 Chatbot job?

A Chatbot job involves designing, developing, and maintaining AI-powered conversational agents that interact with users through text or voice. Professionals in this field work on training models, writing dialogue scripts, and improving chatbot performance using machine learning and natural language processing (NLP). They may collaborate with developers, UX designers, and data scientists to enhance user experience and ensure accurate, helpful responses.

What are the key skills and qualifications needed to thrive in the Chatbot position, and why are they important?

To thrive as a Chatbot Developer, you need strong programming skills (often in languages like Python or JavaScript) and an understanding of natural language processing (NLP) concepts. Familiarity with chatbot frameworks (such as Dialogflow, Microsoft Bot Framework, or Rasa), API integration, and cloud platforms is highly beneficial. Excellent problem-solving skills, creativity, and the ability to clearly communicate with stakeholders are important soft skills in this role. These abilities are crucial to designing intuitive, effective chatbot solutions that enhance user experiences and meet business objectives.

What are some typical challenges faced when designing and maintaining a chatbot?

Professionals in chatbot development often encounter challenges such as accurately interpreting diverse user inputs, handling unexpected queries, and ensuring the chatbot can scale to accommodate high traffic. Maintaining a balance between automation and the need to escalate complex issues to human agents is also important. Additionally, staying updated with rapidly evolving NLP technologies and user experience best practices is essential. You'll likely collaborate with product managers, UX designers, and customer support teams to continuously improve the chatbot's effectiveness. Overcoming these challenges can be highly rewarding, leading to a more engaging and valuable tool for users.
More about Chatbot jobs
What cities are hiring for Chatbot jobs? Cities with the most 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 Chatbot jobs? States with the most job openings for Chatbot jobs include:
What job categories do people searching Chatbot jobs look for? The top searched job categories for Chatbot jobs are:
Chatbot jobs near you
Infographic showing various Chatbot job openings in the United States as of May 2026, with employment types broken down into 100% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $116,003 per year, or $55.8 per hour.
Chatbot Developer

Chatbot Developer

Software People, Inc.

Los Angeles, CA • On-site

Other

Posted 25 days ago

Job description

Chatbot Developer

Location: Los Angeles, CA

Duration: 12+ months

Phone/Skype Hire. Onsite from day 1

Responsibilities

  • Design and develop NLU application (chatbot) using Lex. Design Conversational Flow: Create a flowchart or diagram outlining the chatbot's conversation paths, responses, and possible user inputs.
  • Develop Natural Language Processing (NLP) Capabilities: Implement NLP models to enable the chatbot to understand and process user inputs effectively. Create intents and define slot types based on the application requirement. Set up how the lex bot conversation should flow and error handling. Use Lex's dialog management system to specify prompts for each slot and determine fallback responses. Use Lambda functions for dynamic responses or backend logic.
  • Thoroughly test the bot to ensure it responds accurately, handles edge cases, and performs smoothly in various situations. Use the built-in testing interface in the AWS Lex console to simulate conversations. Implement monitoring using Amazon CloudWatch to track bot performance and errors. Adjust intents, prompts, and Lambda functions as needed based on user feedback.
  • Use APIs to interact with different LLMs. Understand various LLMs available on Amazon Bedrock and how to invoke them efficiently and cost-optimized using customized completion prompts.
  • Use various AWS technologies like API G/W, Lambda, S3, Cloud Formation scripts, CloudWatch, etc to create a complete solution that can be monitored, optimized, and updated with automation tools.
  • Write and Optimize Python Code. Develop clean, readable, and efficient Python code to solve problems or build applications. Continuously refactor code for readability and performance. Use libraries like collections, lang chain, and built-in functions to optimize code.
  • Develop services using SOA and interact with APIs to send or receive data from external systems or services using libraries to make GET, POST, PUT, and DELETE requests. Create and process JSON requests and responses and manage authentication (like OAuth tokens or API keys).
  • Manage project dependencies and keep environments isolated for each project. Create application packages and docker images that can be deployed in a cloud infrastructure. Ensure all dependencies are packaged and use venv or virtualenv to create isolated Python environments for different projects.
  • Ensure code quality by writing tests and debugging issues that arise. Conduct thorough testing, including unit testing and user acceptance testing (UAT), to ensure the chatbot functions as expected and fix any bugs.
  • Use database concepts to write and create SQL queries to extract data from the database.