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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)

Triveni IT

AI/Chatbot Developer

Princeton, NJ · On-site

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 ...

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 ...

Teklead Corp

Sr Chatbot Engineer

Westlake Village, CA · On-site

$68 - $78/hr

US CITIZENS & PERMANENT RESIDENTS ONLY Excellent contract-to-hire job opportunity Looking for a Sr. Chatbot Engineer to join an Artificial Intelligence team. Join our Tech hub and work in a ...

Teklead Corp

Sr Chatbot Engineer

Westlake Village, CA · On-site

$68 - $78/hr

US CITIZENS & PERMANENT RESIDENTS ONLY Excellent contract-to-hire job opportunity Looking for a Sr. Chatbot Engineer to join an Artificial Intelligence team. Join our Tech hub and work in a ...

Teklead Corp

Sr Chatbot Engineer

Westlake Village, CA · On-site

$68 - $78/hr

US CITIZENS & PERMANENT RESIDENTS ONLY Excellent contract-to-hire job opportunity Looking for a Sr. Chatbot Engineer to join an Artificial Intelligence team. Join our Tech hub and work in a ...

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 ...

Noblesoft Technologies

CCaaS Lead (DevOps/Chatbot)

Chicago, IL · On-site

$54.25 - $74.50/hr

CCaaS Lead (DevOps/Chatbot) Location: Chicago, IL, USA 60606 JD: * 10+ years of full-stack development experience * Google Dialog flow or similar platform experience (Kore.ai, Amelia.ai, Netomi0 ...

Donato Technologies, Inc

IVR Chatbot

Newark, NJ · On-site

IVR Chatbot Developer (Genesys focus) · Minimum 3-5 years development experience implementing self-service IVR and Omni-Channel Orchestration Routing on Genesys Cloud CX. · Hands-on experience ...

Teklead Corp.

Sr Chatbot Engineer

Westlake Village, CA · On-site

$68 - $78/hr

US CITIZENS & PERMANENT RESIDENTS ONLY Excellent contract-to-hire job opportunity Looking for a Sr. Chatbot Engineer to join an Artificial Intelligence team. Join our Tech hub and work in a ...

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How much do chatbot jobs pay per hour?

As of Jul 17, 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 jobs make $3,000 a day?

High-paying jobs that can earn $3,000 a day include specialized roles such as senior software engineers, surgeons, corporate lawyers, and investment bankers. These positions typically require advanced skills, extensive experience, and often involve high-pressure environments or significant responsibilities.

How can I make money with chatbots?

Chatbots professionals can monetize their skills by developing and selling chatbot solutions to businesses, offering chatbot development services, or creating chatbot templates and tools for sale. Building expertise in platforms like Dialogflow or Botpress and understanding customer needs can enhance earning opportunities in this field.

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.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, with compensation including salary, bonuses, and stock options reaching that amount annually. These roles often require advanced degrees, extensive experience, and expertise in AI tools, programming languages, and data analysis. Such positions are usually found in large tech companies or innovative startups and may involve leadership, strategic planning, and cutting-edge AI development.

Which 3 jobs will survive AI?

Chatbot roles and customer service jobs are likely to persist as they require complex communication skills and emotional intelligence that AI cannot fully replicate. Healthcare professionals, such as doctors and nurses, will continue to be essential due to the need for human judgment and empathy. Additionally, skilled trades like electricians and plumbers are less susceptible to automation because of the hands-on nature of their work.
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 July 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% In-person 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

Re-posted 7 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.