Sr AI Engineer

Zuora is a company that helps businesses grow smarter and adapt faster through their platform. They are seeking a Senior AI Engineer to bridge the gap between raw LLM capabilities and functional enterprise software, contributing to the company's transformative phase by enhancing internal tools and workflows with AI integrations.

Responsibilities:

• Design and build the glue between AI agents and core business systems such as Salesforce, NetSuite, Slack, and other internal platforms using APIs, events, and webhooks
• Leverage modern AI coding assistants such as Cursor and Codex to accelerate development, generate boilerplate, debug issues, and refactor quickly
• Rapidly prototype and ship AI-powered internal tools in a high-velocity environment, moving from concept to production with strong engineering judgment
• Parse, understand, and enhance existing internal codebases, integrating AI capabilities into brownfield systems without disrupting production workflows
• Architect advanced RAG pipelines and agentic workflows that bring context-aware intelligence to internal knowledge and operational systems
• Implement rigorous evaluation and testing approaches for AI outputs to ensure speed does not compromise accuracy, security, or trust
• Collaborate with stakeholders across the enterprise to deliver solutions that improve how work gets done
• Assist colleagues with design and coding best practices, including code reviews, documentation, and maintainable implementation patterns
• Partner with Enterprise Architecture and adjacent teams to ensure AI integrations align with the broader digital ecosystem
• Lead troubleshooting for production issues in AI-enabled workflows, perform root-cause analysis, and help build support-ready systems

Requirements:

• 8+ years of relevant work experience
• Bachelor's degree in Computer Science or a related technical discipline
• 5+ years of experience as a full-stack developer
• Strong experience building integrations with REST APIs, webhooks, and middleware technologies
• Demonstrated expertise in AI-augmented programming and vibe coding, using LLMs to write code, explore new libraries quickly, and automate repetitive engineering work
• Exceptional ability to jump into existing codebases in Python and JavaScript/TypeScript, understand the logic, and implement enhancements or integrations safely
• Familiarity with LangChain, LlamaIndex, vector databases, prompt engineering, and RAG design patterns
• Experience designing or contributing to agentic workflows and context-aware AI applications
• Strong problem-solving instincts and the ability to figure out how systems work without waiting for perfect documentation
• Excellent listening, communication, and presentation skills
• The ability and desire to learn new technologies and development tools