Sr AI Engineer at Zuora

, , United States -

Full Time

Start Date

Immediate

Expiry Date

14 Aug, 26

Salary

171250.0

Posted On

16 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, JavaScript, TypeScript, LLM APIs, LangChain, LlamaIndex, Vector Databases, RAG, REST APIs, Webhooks, Prompt Engineering, Agentic Workflows, Full-stack Development, AI-augmented Programming, System Integration, Software Architecture

Industry

Software Development

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. This is a hybrid position, so you’ll work both remotely and in the office. 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 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 About the Team Join a team of skilled professionals in a collaborative and innovative environment that values continuous learning, creativity, and challenge. Our team is focused on shaping the future of how work gets done at Zuora through intelligent automation, interoperability, and rapid iteration. You’ll work on challenging projects that stretch your skills and creativity, whether that means building integrations between AI agents and enterprise systems, prototyping new internal tools, or enhancing existing applications with LLM capabilities. You’ll also have the opportunity to grow professionally by working with cutting-edge technologies, collaborating with industry experts, and expanding your skill set. Our tech stack includes: JavaScript/TypeScript, Python, LLM APIs, LangChain, LlamaIndex, vector databases, MCP, RAG, REST APIs, webhooks, Slack, Salesforce, Jira, and internal enterprise systems. If you want, I can also make this read more like a polished job description versus a direct website posting. Benefits Zuora offers a comprehensive total rewards package designed to support ZEOs’ wellbeing, growth, and flexibility. While specific offerings may vary by country, we typically provide: Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs Medical, dental, and vision insurance Generous, flexible time off, plus paid holidays, wellness days, and a company-wide year-end break Paid parental leave (including fully paid leave for eligible ZEOs, subject to local policy) Learning & development stipend to support ongoing growth Opportunities to volunteer and give back, including charitable donation matching where available Mental wellbeing resources and support *Benefits may vary by location; details will be shared during the interview process #ZEOLife at Zuora ZEOs (our employees) are empowered to take ownership, challenge the status quo, and make a real impact. We: Collaborate deeply across teams and regions Learn constantly and iterate often Build an inclusive, high-performance culture where people feel inspired, connected, and valued Our Commitment to an Inclusive Workplace Think, be and do you. At Zuora, different perspectives, experiences, and contributions matter — everyone counts. Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all. We do not discriminate on the basis of, and consider individuals seeking employment with Zuora without regard to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance@zuora.com (or local equivalent, where applicable). The base pay details represent the annualized salary range for the posted position. While we share a comprehensive range, a candidate’s final base salary will fall within these guidelines and will be determined based on multiple factors including but not limited to: qualifications of the candidate, job related knowledge, prior related experience, specific and unique skills, the location of the role, internal equity and internal budget. Base pay is only one element of Zuora’s Total Rewards Package. Additional elements may also include bonus/variable compensation, equity and comprehensive benefits, more details found here. Base Pay Details $124,500—$171,250 USD

Responsibilities

Design and build integrations between AI agents and core business systems like Salesforce and NetSuite. Architect advanced RAG pipelines and agentic workflows to enhance internal operational intelligence.