Senior Software Engineer, Agents Platform

Senior Software Engineer, Agents Platform

Redwood City, CA, United States

WHAT IS BOX?

Box (NYSE:

BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including AstraZeneca, JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.

WHY BOX NEEDS YOU

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 Lang Graph, 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 Lang Graph so developers can ship agents quickly and safely, all on a platform engineered for reliability and scale.

WHAT YOU'LL DO

• 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 Lang Graph.
• 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 to and triage any issues that arise.

WHO YOU ARE

• You are passionate about building infrastructure that powers AI systems.
• You have 5+ years of industry experience in computer science, machine learning or related field.
• You like to be an owner 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.
• You’ve built, deployed, and supported distributed systems at scale.
• You have strong analytical and problem‑solving skills, with the ability to work with large and complex systems.

Must Have Experience

• 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 Have Experience

• 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 Sage Maker, etc.
• Experience with Lang Chain/Lang Graph or other agent definition languages.
• Experience with Kubernetes base systems.

Box lives its values, with community and in‑person collaboration being a core part of our culture. Boxers are…