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Senior Software Engineer (AI)
ICT
Company shared salary
NA
Market rate
₹10,833–₹16,667/mo (₹129,996–₹200,004/yr)
Based on similar roles (title + domain + location).
About the Company
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.
About the Role
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. Location & Work Arrangements 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 .
Responsibilities
- ● 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.
Benefits
- ● Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs
- ● Medical 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
- ● Collaborate deeply across teams and regions
- ● Learn constantly and iterate often
- ● Build an inclusive, high-performance culture where people feel inspired, connected, and valued
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