Sr AI Engineer
Zuora
| Company | Zuora |
| Category | Engineering |
| Location | Remote - United States |
| Remote | Remote |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 24 Mar 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
About Zuora
At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue.
We’ve led the Subscription Economy for more than a decade. Now we’re evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation.
The Opportunity
As a Senior AI Engineer , you will be a high-velocity builder within our Corporate Operations team, bridging the gap between raw LLM capabilities and functional enterprise software.
You will thrive in a vibe coding environment, using AI to accelerate development, rapidly prototype ideas, and maintain a flow state while shipping impactful code. This is an opportunity to contribute to a forward-thinking company during a critical transformative phase, where your expertise will directly shape our business evolution.
In this role, you will:
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
Your work will directly influence company objectives by accelerating internal tool delivery, improving how teams interact with enterprise systems, and making AI genuinely actionable inside Corporate Operations.
About You
You are a passionate and experienced builder who enjoys solving meaningful business problems with practical AI-powered solutions. You are equally comfortable thinking big picture and diving deep into technical details, and you thrive in fast-moving environments where experimentation and iteration are valued.
You likely bring:
8+ years of relevant work experience and a 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 abilit
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