Senior Software Engineer (AI)

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.

Zuora is seeking a Senior Software Engineer to architect and scale our Agentic Deal Desk product. In this high-impact IC role, you will build resilient, high-throughput Java microservices alongside the underlying AI agent harness—the runtime scaffolding, execution loop, tool dispatch system, and state management engine that converts non-deterministic LLMs into reliable, enterprise-grade deal-desk agents.

This role is based in our Foster City, CA office and follows a hybrid work model. Team members are expected to work onsite three days per week to foster collaboration, innovation, and team connectivity.

This is not a fully remote position.

• →Agent Harness Engineering: Build and own the core agent harness layer, including the execution loop (ReAct/Plan-Act), state persistence, dynamic prompt assembly, output schema validation, and retry mechanisms.
• →Tool Dispatch & Sandboxing: Design safe tool-execution runtimes and schema-validated function dispatchers that allow agents to execute complex deal operations, policy checks, and pricing adjustments securely.
• →Context & Memory Management: Engineer context compaction, short-term session scratchpads, and long-term memory retrieval pipelines (RAG/vector search) to eliminate context degradation during multi-turn deal negotiations.
• →Guardrails & Feedback Loops: Build computational and inferential feedback sensors (evaluators, deterministic policy linters, and verification checks) to enforce strict margin guardrails, discount limits, and compliance rules.
• →Backend Architecture: Design low-latency, event-driven Core Java microservices to back the harness, driving state transitions, audit logs, and integration with Zuora Billing and CRM platforms.
• →Technical Leadership: Set technical standards for agent harness design, drive evaluation/eval-driven development practices, and mentor senior engineers across squads.

• Core Java Mastery: 8+ years of hands-on experience in modern Java (17+), JVM internals, concurrency models, Spring Boot, and cloud-native distributed architecture.
• Agent Harness & Runtime Systems: Deep experience building the infrastructure surrounding LLMs—agent loops, state-machine tracking, tool calling/dispatch systems, context window management, and structured output parsing.
• Agentic Frameworks & AI Tooling: Practical experience with LangGraph, CrewAI, AutoGen, LlamaIndex, or custom in-house agent orchestration runtimes and vector databases (e.g., Pgvector, Pinecone).
• Distributed Infrastructure: Heavy background in event-driven architecture (Kafka/RabbitMQ), high-performance caching (Redis), relational databases (PostgreSQL/MySQL), and REST/gRPC API design.
• Cloud & Runtime Security: Experience with AWS, Docker/container isolation, Kubernetes, and securing agent execution pathways against improper tool invocations or prompt injection.

• AWS Agentic Enablement: Production experience leveraging Amazon Bedrock Agents (Action Groups, Knowledge Bases, Multi-Agent Collaboration) and Guardrails for Amazon Bedrock to enforce policy boundaries and tool permissions.
• Serverless Agent Scaffolding: Experience utilizing AWS Lambda, Step Functions, DynamoDB, and ECS/Fargate for isolated tool-execution environments, persistent session state checkpointing, and agent workflow orchestration.
• AWS AI Observability & Evals: Familiarity with continuous agent monitoring, trace/span evaluation frameworks (e.g., Amazon Bedrock AgentCore Evaluations, CloudWatch), and LLM-as-a-judge pipelines for non-deterministic applications.
• Domain Expertise: Experience in Enterprise Deal Desk operations, revenue operations, quote-to-cash workflows, dynamic pricing engines, or high-volume SaaS approval chains.