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Conversational Ai Engineer Jobs in Rialto, CA (NOW HIRING)

Speechify

Go-to-Market - Anaheim, CA, USA

Anaheim, CA · On-site

$150K - $200K/yr

These include frontend and backend engineers, AI research scientists, and others from Amazon ... Experience selling AI, voice, or conversational technology * Familiarity with telephony ...

Speechify

Go-to-Market - Anaheim, CA, USA

Anaheim, CA · On-site

$150K - $200K/yr

These include frontend and backend engineers, AI research scientists, and others from Amazon ... Experience selling AI, voice, or conversational technology * Familiarity with telephony ...

Yami

Senior Product Manager, Search and Discovery

Brea, CA · On-site +1

$100K - $135K/yr

... conversational/agentic shopping experiences (e.g., multi-turn dialogue, intent progression, AI ... Strong engineering and design judgment: able to partner with Engineering to make sound technical ...

Yami

Senior Product Manager, Search and Discovery

Brea, CA · On-site

$100K - $135K/yr

... conversational/agentic shopping experiences (e.g., multi-turn dialogue, intent progression, AI ... Strong engineering and design judgment: able to partner with Engineering to make sound technical ...

Esri

Sr. Digital / Web Platform Business Analyst

Redlands, CA · On-site

$93K - $120K/yr

Partner with business stakeholders, product owners, architects, and engineering teams to define ... Experience with AI-powered chatbots, virtual assistants, or conversational interfaces * Familiarity ...

All JobsConversational Ai Engineer JobsConversational Ai Engineer Jobs in Rialto, CA

Conversational Ai Engineer information

See Rialto, CA salary details

$30.5K

$125.9K

$226.2K

How much do conversational ai engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for conversational ai engineer in Rialto, CA is $125,855.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,065.00 and $155,562.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a conversational AI engineer?

To thrive as a Conversational AI Engineer, you need strong programming skills (such as Python), a background in natural language processing (NLP), and a degree in computer science or a related field. Familiarity with machine learning frameworks, chatbot platforms, and cloud services like AWS or Google Cloud is typically required, along with experience in tools such as TensorFlow or Rasa. Excellent problem-solving abilities, creativity, and clear communication help engineers design effective, user-friendly conversational systems. These skills ensure the development of robust, scalable, and intuitive AI solutions that meet user needs and business goals.

What is a conversational AI engineer?

A Conversational AI Engineer is a technology professional who designs, develops, and maintains systems that enable computers to interact with humans using natural language. They work on building chatbots, virtual assistants, and voice-enabled applications by leveraging natural language processing (NLP), machine learning, and AI frameworks. Their responsibilities include training language models, optimizing conversation flows, integrating with APIs, and ensuring the overall performance and accuracy of conversational systems. These engineers collaborate with data scientists, UX designers, and software developers to create seamless and intuitive AI-driven user experiences.

What are some common challenges conversational AI engineers face when deploying chatbots in production environments?

Conversational AI Engineers often encounter challenges such as ensuring chatbot robustness in handling diverse user inputs and maintaining natural, contextually relevant conversations. Managing scalability and latency is also crucial, as chatbots must perform efficiently under varying loads. Additionally, integrating with legacy systems and safeguarding user data privacy require careful coordination with DevOps and security teams. Continuous model monitoring and updating are essential to keep responses accurate and aligned with user expectations.

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

AspectConversational Ai EngineerChatbot Developer
Required CredentialsBachelor's in CS, AI, or related field; experience with NLP and machine learningTypically programming skills; may have similar technical background
Work EnvironmentCollaborates on AI models, NLP, and user experience designFocuses on building and deploying chatbot interfaces
Employer & Industry UsageTech companies, AI startups, large enterprises integrating conversational AICustomer service, marketing, and sales sectors
Search & Comparison IntentUnderstanding roles in AI development, advanced conversational systemsBuilding specific chatbot applications

While both roles involve creating conversational interfaces, a Conversational Ai Engineer focuses on developing advanced AI models and NLP systems, whereas a Chatbot Developer primarily builds and deploys chatbot applications. The engineer's role is broader, often involving AI research and integration, while the developer concentrates on implementation and user interaction design.

What job categories do people searching Conversational Ai Engineer jobs in Rialto, CA look for? The top searched job categories for Conversational Ai Engineer jobs in Rialto, CA are:
What cities near Rialto, CA are hiring for Conversational Ai Engineer jobs? Cities near Rialto, CA with the most Conversational Ai Engineer job openings:
Conversational Ai Engineer jobs near you

Software Engineer II (AI Focus)

Parsec Automation Corp.

Anaheim, CA • On-site

$145K - $165K/yr

Full-time

Medical, Retirement, PTO

Re-posted 20 days ago

Job description

About Parsec
Parsec Automation, LLC is a global leader in manufacturing operations management software. Recognized by Gartner, IDC, and numerous industry awards, Parsec's flagship MES platform, TrakSYS™, powers efficiency, quality, and compliance improvements at over 11,000 plants across 140+ countries. Manufacturers such as Johnson & Johnson, Merck, Toyota, Procter & Gamble, Hershey, Siemens, and DuPont rely on TrakSYS to manage complex operations with clarity and precision.
Parsec is backed by BVP Forge, part of the $20B Bessemer platform, known for supporting category-defining companies such as LinkedIn, Procore, Shopify, and Toast.
About the Role
We're looking for a Software Engineer II (AI Focus) to help build and expand AI capabilities within our core platform.
This role is hands-on and focused on implementing production-ready AI features, including agent-based workflows and integrations with LLM providers. You'll work within a Microsoft-based, on-prem environment and contribute to building AI functionality that is secure, scalable, and reliable in real-world manufacturing settings.
You'll partner with senior engineers and product teams to deliver AI-powered features, while continuing to grow your experience in modern AI systems and enterprise software development.
Key Responsibilities
Quality, Security & Reliability
  • Follow secure development best practices, including least privilege and data protection
  • Implement validation, error handling, and safe access patterns
  • Contribute to logging, monitoring, and observability for AI features
  • Support testing efforts including:
  • Unit and integration testing
  • Validation of AI and tool interactions

Team Collaboration & Growth
  • Work closely with senior engineers to implement AI features aligned to product requirements
  • Participate in code reviews, design discussions, and team collaboration
  • Assist with troubleshooting and support for AI-related functionality
  • Continue developing skills in AI technologies, the TrakSYS™ platform, and manufacturing systems

AI Development & Implementation
  • Build AI capabilities within a Microsoft-based stack (ASP.NET, .NET services, SQL Server)
  • Implement agentic workflows, including agent runtimes and orchestration logic
  • Develop services that manage:
  • Conversation and task state
  • Tool execution and routing
  • Retries, timeouts, and execution limits
  • Integrate with LLM providers (OpenAI, Anthropic, etc.), including tool/function calling patterns
  • Contribute to building and maintaining tool integrations, including:
  • SQL Server queries and stored procedures
  • Internal APIs and services
  • File/report generation systems

Required Qualifications
  • 3-5+ years of software development experience
  • Experience with .NET (C#, ASP.NET)
  • Familiarity with API design and integration (REST, JSON, etc.)
  • Experience with SQL Server or similar relational databases
  • Understanding of software development best practices (testing, debugging, version control)
  • Exposure to agentic AI systems, MCP, or similar tool/plugin frameworks
  • Experience integrating with LLM APIs or working with AI/ML-powered features
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience

Preferred Qualifications
  • Familiarity with Azure OpenAI or other LLM platforms
  • Experience with Semantic Kernel or similar frameworks
  • Experience working in enterprise or on-prem environments
  • Exposure to manufacturing or MES systems

Benefits
  • $145,000 to $165,000 annual salary
  • Variable Bonus based on company and individual performance
  • Hybrid work schedule (3 days in office / 2 days remote)
  • 401(k) with company match
  • 100% company-paid health insurance premiums for employees
  • Flexible vacation / PTO
  • Flexible Spending Account (FSA) plan available for eligible healthcare and dependent care expenses
  • Outstanding team environment

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