Senior Software Engineer, Agents Platform
About The Position
AI is transforming how enterprises work, and Box is building an enterprise-grade Agents Platform at the core of the Box Content Cloud. Our platform, built on LangGraph, enables teams across Box and our customers to design, deploy, and operate AI agents that handle real-world enterprise workflows—from content understanding and generation to intelligent metadata, automation, and complex, multi-step orchestrations. As a founding Software Engineer on the Core Agents team, you will build the core platform that makes agent development secure, reliable, and scalable. You’ll own systems that define agent frameworks and tooling, orchestrate multi-agent workflows, integrate with multiple LLMs and enterprise systems, and enforce tenant isolation, data governance, and least-privilege access. You’ll deliver low-latency, high-throughput execution with robust observability, guardrails, and safe execution environments, ensuring agents perform predictably in production. Your work will empower product teams at Box and enterprise customers to build, customize, and operate agents for critical use cases—answering complex questions, automating content-centric processes, and coordinating actions across business systems. You’ll help establish patterns, SDKs, and best practices on top of LangGraph so developers can ship agents quickly and safely, all on a platform engineered for reliability and scale.
Requirements
- Passionate about building infrastructure that powers AI systems
- 5+ years of industry experience in computer science, machine learning or related field
- Ownership mentality and strive to do work you're proud of, both technically and in your team interactions
- Able to inspire other people to work with you, and you enjoy mentoring and coaching, as well as learning from other engineers
- Experience building, deploying, and supporting distributed systems at scale
- Strong analytical and problem-solving skills, with the ability to work with large and complex systems.
- Familiarity with at least one object oriented language like C, C++, Java, Scala
- BS degree in Computer Science or a related field
- Strong understanding of distributed systems, data structures & algorithms, platform architecture.
Nice To Haves
- Advanced degree in computer science or related field.
- Familiarity with concepts related to Large Language Models, Retrieval Augmented Generation (RAG), Semantic Search, Indexing, Ranking and Relevance
- Familiarity with cloud based ML platforms such as Vertex AI, AWS Bedrock, AWS Sagemaker etc
- Experience with LangChain/LangGraph or other agent definition languages
- Experience with Kubernetes bases systems
Responsibilities
- Build core components of the Agents Platform that power agentic use cases like Deep Search and Deep Research.
- Design and implement agent and tool repositories, along with observability and CI/CD pipelines, to streamline agent development and deployment.
- Develop and evolve a multi-tenant control plane that enforces isolation, fair resource allocation, and per-tenant SLAs across all agent workloads.
- Collaborate with ML engineers to translate requirements into scalable capabilities on top of LangGraph.
- Contribute to technical discussions and provide guidance on cross-team projects within the AI Platform organization.
- Participate in our on-call rotation, available at all times while on-call to help respond and triage any issues that arise.
Benefits
- Equity
- Benefits and perks
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What This Job Offers
Job Type
Full-time
Career Level
Senior
