ZipRecruiter

Log In

1

Chatbot Developer Jobs in California (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 ...

Teklead Corp

Sr Chatbot Engineer

Westlake Village, CA · Hybrid

$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 ...

Zettalogix INC

AI Engineer - Chatbot

Dublin, CA · Hybrid

AI Engineer - Chatbot Locals Only- Dublin, CA (Onsite Tues-Thurs) *No relocation Interview Type (Phone, Video, Face to Face) Video Anticipated Start (in weeks) 2 Duration: 6 Months contract

OKX

Principal AI Engineer, Chatbot Development

San Jose, CA · On-site

$313K - $450K/yr

OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto ... This is a hands-on technical role focused on building intelligent, autonomous chatbot systems ...

Forhyre

Tech Lead - Conversational AI

Sunnyvale, CA · On-site

Design, develop, test, and deploy highly scalable and reliable chatbot solutions. * Ensure the ... Bachelor's degree in Computer Science, Engineering, or a related field. * Proven experience as a ...

Saxon Global

AI/ML Engineer

Pasadena, CA

* 4- yr Technical Degree (Computer Science, CIS, Engineering, Math, or related) * 8+ yrs ... yrs of Chatbot development and Retrieval-Augmented Generation (RAG) applications is a strong ...

Enexus Global

AI Engineer - Copilot Studio

Dublin, CA · On-site +1

... Chatbot build experience with real examples Support & troubleshooting mindset Strong communication skills Ability to be hands on ("worker bee") Tools/ Technologies: Microsoft Copilot Studio Power ...

OSI Engineering, Inc.

Senior AI Engineer

Cupertino, CA · On-site +1

$58 - $68/hr

Senior AI Engineer We are seeking a Senior AI Engineer to build internal AI systems and ... systems, and chatbot functionality for a large-scale enterprise platform. You will design and ...

next page

Showing results 1-20

All JobsChatbot Developer JobsChatbot Developer Jobs in California

Chatbot Developer information

See California salary details

$73.5K

$92.5K

$124.8K

How much do chatbot developer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for chatbot developer in California is $92,522.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 and $93,800.00 per year, depending on experience, location, and employer.

What are some common challenges Chatbot Developers face when integrating chatbots with existing systems?

One common challenge Chatbot Developers encounter is ensuring seamless integration of chatbots with legacy systems and diverse databases, which may have inconsistent data formats or limited APIs. Developers often need to troubleshoot compatibility issues, manage security protocols, and handle real-time data synchronization. Close collaboration with IT teams and clear documentation are essential for successful integration and ongoing maintenance. Overcoming these challenges can lead to more robust and scalable chatbot solutions.

What Does a Chatbot Developer Do?

As a chatbot developer, you create applications that automate customer services or other communication processes. You design programs that use artificial intelligence to communicate with humans via text or audio. You develop chatbot programs so that they can communicate in a variety of scenarios. You test your application and debug it if necessary. Your duties include reviewing and simplifying code when needed. As a chatbot developer, you may also help companies implement bots in their operations. You often work with established AI platforms such as Microsoft Azure Cognitive Services and use a variety of computer languages, including Python, C++, and JavaScript.

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

To thrive as a Chatbot Developer, you need expertise in programming languages like Python or JavaScript, a solid understanding of natural language processing (NLP), and experience with chatbot frameworks such as Dialogflow or Microsoft Bot Framework. Familiarity with cloud platforms, APIs, and version control systems (e.g., Git) is also commonly required, along with certifications in AI or related fields being advantageous. Strong problem-solving skills, creativity, and effective communication help developers design user-friendly and intuitive conversational experiences. These skills ensure the creation of reliable, scalable, and engaging chatbots that effectively address user needs and business goals.

What are Chatbot Developers?

Chatbot Developers are professionals who design, build, and maintain conversational programs, often using artificial intelligence or scripted logic, to interact with users via messaging platforms, websites, or apps. They work with programming languages, natural language processing (NLP), and machine learning frameworks to create chatbots that can answer questions, provide customer support, or automate tasks. Their role involves understanding user needs, integrating chatbots with existing systems, and ensuring a seamless, human-like conversational experience.

What is the difference between Chatbot Developer vs AI Developer?

AspectChatbot DeveloperAI Developer
Required CredentialsProgramming skills, knowledge of chatbot platforms, basic AI understandingAdvanced AI/ML certifications, programming, data science background
Work EnvironmentTech companies, customer service, e-commerce, startupsResearch labs, tech firms, industries applying AI solutions
Employer & Industry UsageFocus on conversational interfaces, customer engagementBroader AI applications, including machine learning, NLP, robotics
Search & Comparison IntentUnderstanding chatbot roles, skills, and job scopeExploring broader AI career paths and skills

While both roles involve AI concepts, a Chatbot Developer specializes in creating conversational interfaces for customer engagement, whereas an AI Developer works on broader artificial intelligence applications, including machine learning and data analysis. The roles share overlapping skills but differ in scope and industry focus.

More about Chatbot Developer jobs
What are the most commonly searched types of Chatbot Developer jobs in California? The most popular types of Chatbot Developer jobs in California are:
What are popular job titles related to Chatbot Developer jobs in California? For Chatbot Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Chatbot Developer jobs in California look for? The top searched job categories for Chatbot Developer jobs in California are:
What cities in California are hiring for Chatbot Developer jobs? Cities in California with the most Chatbot Developer job openings:
Chatbot Developer jobs near you
Infographic showing various Chatbot Developer job openings in California as of May 2026, with employment types broken down into 100% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $92,522 per year, or $44.5 per hour.
Chatbot Developer

Chatbot Developer

Software People, Inc.

Los Angeles, CA • On-site

Other

Posted 29 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.