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Conversational Ai Developer Jobs in California (NOW HIRING)

About This Job We are seeking an experienced Conversational AI Engineer to design, build, and support advanced conversational solutions across our omnichannel ecosystem. This role works primarily ...

About This Job We are seeking an experienced Conversational AI Engineer to design, build, and support advanced conversational solutions across our omnichannel ecosystem. This role works primarily ...

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 ...

Senior AI Engineer

Cupertino, CA · On-site

$58 - $68/hr

Senior AI Engineer We are seeking a Senior AI Engineer to build internal AI systems and conversational intelligence tools in a fast-paced, collaborative environment. This role focuses on developing ...

The agentic & conversational AI platform - LLM orchestration, retrieval systems, evals, and ... AI-native engineering culture - frontier tools as standard; an engineering harness that makes every ...

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Conversational Ai Developer information

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

To thrive as a Conversational AI Developer, you need a solid background in computer science, natural language processing (NLP), and machine learning, often supported by a relevant degree or certifications. Familiarity with tools like Python, TensorFlow, NLP libraries (such as spaCy or NLTK), and conversational platforms (like Dialogflow or Microsoft Bot Framework) is typically required. Strong problem-solving abilities, creativity, and effective communication skills help developers design intuitive and engaging conversational experiences. These skills are crucial for building AI systems that understand and respond accurately to human language, ensuring user satisfaction and business value.

What is a Conversational AI Developer?

A Conversational AI Developer is a professional who designs, builds, and maintains artificial intelligence systems that enable computers to interact with humans using natural language. These developers create chatbots, virtual assistants, and voice-enabled applications that can understand and respond to user input in a conversational manner. Their work often involves programming, natural language processing (NLP), machine learning, and integrating AI systems with various platforms or devices. They play a key role in improving user experiences through more intuitive, human-like interactions with technology.

What is the difference between Conversational Ai Developer vs Chatbot Developer?

AspectConversational Ai DeveloperChatbot Developer
Required CredentialsProgramming skills, AI/machine learning knowledge, NLP expertiseProgramming skills, basic AI understanding, scripting
Work EnvironmentTech companies, AI startups, enterprise AI teamsCustomer service, marketing, small to medium businesses
Industry UsageDevelops complex conversational systems with AI capabilitiesBuilds rule-based or simple chatbots for specific tasks
Search & Comparison IntentUnderstanding AI-driven conversational systemsCreating basic automated chat interactions

Conversational Ai Developers focus on building advanced, AI-powered conversational systems using NLP and machine learning, often working in tech or enterprise environments. Chatbot Developers typically create rule-based or simple chatbots for customer service or marketing, with less emphasis on AI complexity. While both roles involve programming and scripting, Conversational Ai Developers require deeper AI and NLP expertise for sophisticated interactions.

What are some common challenges Conversational AI Developers face when optimizing chatbot performance?

Conversational AI Developers often encounter challenges such as accurately interpreting user intent, handling ambiguous or unexpected queries, and maintaining natural, engaging dialogue flows. Balancing the need for robust natural language understanding with system efficiency and scalability is also key. Additionally, integrating the chatbot with existing platforms and ensuring data privacy can require careful planning and cross-functional collaboration.
What are popular job titles related to Conversational Ai Developer jobs in California? For Conversational Ai Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Conversational Ai Developer jobs in California look for? The top searched job categories for Conversational Ai Developer jobs in California are:
What cities in California are hiring for Conversational Ai Developer jobs? Cities in California with the most Conversational Ai Developer job openings:
Infographic showing various Conversational Ai Developer job openings in California as of July 2026, with employment types broken down into 68% Full Time, 22% Part Time, and 10% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution.

Conversational AI Engineer

Axos Bank

San Diego, CA • On-site

$70K - $93K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Job description

Axos Bank
Target Range:
$70,304.00 /Yr - $93,000.00 /Yr.
Actual starting pay will vary based on factors including, but not limited to, geographic location, experience, skills, specialty, and education.
Eligible for an Annual Discretionary Cash Bonus Target: 10%
Eligible for an Annual Discretionary Restricted Stock Units Bonus Target: 10%
These discretionary target bonuses may be awarded semi-annually based upon your achievement of performance goals and targets.
About This Job
We are seeking an experienced Conversational AI Engineer to design, build, and support advanced conversational solutions across our omnichannel ecosystem. This role works primarily within the Google CCAS suite, including Dialogflow Conversational Agents, and GCP, and plays a critical role in both production support and platform enhancements.
The position carries a strong emphasis on custom development, system integrations, and the delivery of scalable, secure, and reliable conversational AI solutions. This role is ideal for an engineer who is comfortable working across the full solution stack, from conversational design through backend services and cloud infrastructure.
Responsibilities:
Conversational AI Platform Development:
  • Design, build, and support conversational AI solutions across omnichannel platforms, with a primary focus on the Google CCAS suite, including Dialogflow Conversational Agents.

Production Support & Reliability Engineering:
  • Provide production support for conversational platforms and supporting services by troubleshooting conversational logic, webhook failures, backend integration issues, logs, and monitoring dashboards.

  • Perform root-cause analysis for defects, outages, and performance issues, and implement long-term corrective solutions.

  • Define and uphold production readiness standards, including observability, reliability, performance, scalability, and cost efficiency for conversational and AI services.

Architecture & Custom Development:
  • Design and implement microservices-based architectures to support conversational AI, integrations, and business workflows.

  • Create reusable frameworks, shared libraries, and common components to accelerate development and promote consistency across conversational solutions.

Systems Integration & API Engineering:
  • Design and implement secure API integrations, including authentication and authorization flows, error handling, data transformation, middleware services, and proxy layers.

Documentation, Collaboration, & Technical Leadership:
  • Create and maintain technical documentation and architectural artifacts to support knowledge sharing and long-term maintainability.

  • Collaborate with product, business, and engineering stakeholders to translate requirements into well-architected technical solutions.

  • Provide technical leadership by contributing to architectural decisions, evaluating vendor solutions, and leading proof-of-concept (POC) initiatives.

  • Stay current with advancements in conversational AI, cloud services, and AI/ML technologies through experimentation and continuous learning.

Qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related technical field.
  • 3+ years experience in software development, cloud platforms/architecture, or related IT role.
  • Cloud Architecture: Preferably hands-on experience with Google Cloud Platform (GCP) services including Cloud Run, API Gateway, Cloud Storage, BigQuery, and Vertex AI, or similar cloud architecture experience.
  • Software Development: Strong proficiency in programming, preferably with Python and JavaScript, and experience building backend services.
  • Strong analytical, problem-solving, and communication skills, with the ability to translate ambiguous requirements into actionable technical solutions.

Axos Employee Benefits May Include:
  • Medical, Dental, Vision, and Life Insurance
  • Paid Sick Leave, 3 weeks' Vacation, and Holidays (about 11 a year)
  • HSA or FSA account and other voluntary benefits
  • 401(k) Retirement Saving Plan with Employer Match Program and 529 Savings Plan
  • Employee Mortgage Loan Program and free access to an Axos Bank Account with Self-Directed Trading

About Axos
Born digital-first, Axos delivers financial tools and services that allow individuals, small businesses, and companies to access and manage their money how, when, and where they want. We're a diverse team of dynamic, insightful, and independent innovators who are excited to provide technology-driven solutions that offer unbeatable value to our customers.
Axos Financial is our holding company and is publicly traded on the New York Stock Exchange under the symbol "AX" (NYSE: AX).
Learn more about working at Axos
Pre-Employment Background Check and Drug Test:
All offers are contingent upon the candidate successfully passing a credit check, criminal background check, and pre-employment drug screening, which includes screening for marijuana. Axos Bank is a federally regulated banking institution. At the federal level, marijuana is an illegal schedule 1 drug; therefore, we will not employ any person who tests positive for marijuana, regardless of state legalization.
Equal Employment Opportunity:
Axos is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state, and local laws.
Job Functions and Work Environment:
While performing the duties of this position, the employee is required to sit for extended periods of time. Manual dexterity and coordination are required while operating standard office equipment such as computer keyboard and mouse, calculator, telephone, copiers, etc.
The work environment characteristics described here are representative of those an employee may encounter while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.
E-Verify and Right to Work Notices
Axos participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States. The E-Verify program is an internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services.
IER Right to Work Poster (English/Spanish)
E-Verify Participation Poster (English/Spanish)