Conversational AI Engineer

Zillow

1d • $129,500 - $217,700 • Remote

About The Position

As a Conversational AI Engineer, you will play a key role in transforming our self-service experience into an interactive, agent-driven chat interface. Your work will directly impact how customers and internal teams access information, resolve issues, and experience Zillow’s products. You will leverage machine learning and language models to deliver relevant, accurate help content, modernize workflows, and ensure a seamless, trustworthy customer journey.

Requirements

• Solutions-oriented engineer with a passion for human-centered design and building reliable, scalable conversational AI systems.
• Minimum 5+ years of experience in Software or Applications Engineering, including at least 2 years focused on Conversational AI, Chatbots, or Agentic Systems.
• Proven experience developing with CRM platforms (especially Salesforce) and integrating them with AI/ML technologies.
• Skilled in leveraging machine learning and large language models for natural language processing.
• Strong background in integrating systems and managing APIs for seamless data flow.
• Experience with QA tooling and monitoring for AI performance and accuracy.
• Understanding of content performance metrics and technical implementation for measurement and A/B testing.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field.

Responsibilities

• Design, build, and deploy intelligent chat agents and automated workflows to resolve common customer and frontline issues.
• Integrate core systems (such as Salesforce) with AI tools to create a unified, compliant user experience.
• Develop and optimize prompts to ensure the AI delivers accurate, relevant answers and help content.
• Evaluate, onboard, and manage AI/ML tools and emerging technologies to enhance system performance.
• Implement safeguards and monitoring to maintain accuracy, prevent misinformation, and build user trust.
• Collaborate with Product, Engineering, QA, Content, and Analytics teams to embed conversational AI into business strategy and track performance.
• Apply machine learning and large language models to improve natural language understanding and generation in our chat agents.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees