Software Engineer III, Agents Platform

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 JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.

By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.

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 LangGraph, enables teams across Box and our customers to design, deploy, and operate AI agents that power real-world workflows—from content understanding and generation to intelligent metadata, automation, and complex, multi-step orchestrations.

As a Software Engineer III on the Core Agents team, you’ll help build the secure, reliable, and scalable foundation that makes agent development fast and safe. You’ll contribute to services that define agent frameworks and tooling, orchestrate multi-agent workflows, integrate with multiple LLMs and enterprise systems, and uphold tenant isolation, data governance, and least-privilege access. Your work will enable product teams and enterprise customers to build, customize, and operate agents for critical use cases with confidence.

WHAT YOU’LL DO

• Design, build, and maintain core components of the Agents Platform that power agentic use cases (e.g., Deep Search, Deep Research).
• Implement and evolve agent and tool repositories, SDKs, and developer tooling to streamline agent development, testing, and deployment.
• Contribute to a multi-tenant control plane that enforces isolation, fair resource allocation, and per-tenant SLAs across agent workloads.
• Develop high-throughput, low-latency services with strong observability, guardrails, and secure execution environments.
• Collaborate with ML engineers and partner product teams to translate requirements into scalable capabilities on top of LangGraph.
• Improve CI/CD pipelines, automated testing, and reliability practices to boost developer velocity and production quality.
• Participate in on-call rotations to support, triage, and resolve production issues, driving root cause analysis and preventive fixes.
• Write clear design docs, review code, and contribute to best practices for distributed systems within the AI Platform organization.

WHO YOU ARE

• 3+ years of professional software engineering experience building and operating backend or platform services at scale.
• Proficient in an object-oriented language (e.g., Java, C++, C#, Scala) and comfortable with modern service development patterns.
• Solid grasp of distributed systems, data structures and algorithms, API design, and platform architecture fundamentals.
• Experience building and debugging production systems with strong logging, metrics, tracing, and alerting.
• Comfortable owning projects end-to-end: scoping, design, implementation, testing, rollout, and iteration.
• Strong collaborator with clear communication skills; able to work cross-functionally with ML, product, and security partners.
• Growth mindset with a bias for action; you value clean code, reliability, and incremental delivery.

Nice to have:

• Experience with agent frameworks or orchestration tools (e.g., LangGraph, LangChain) or workflow engines.
• Familiarity with LLM concepts (RAG, semantic search, indexing, ranking/relevance) and integrating with cloud ML platforms (Vertex AI, AWS Bedrock, SageMaker).
• Exposure to Kubernetes-based systems, service meshes, or containerized workloads.
• Experience building SDKs, developer platforms, or internal tooling that accelerates engineering teams.
• BS in Computer Science or related field (or equivalent practical experience).

Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process.

At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!

EQUAL OPPORTUNITY

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.

Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.

Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here. 

Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here. 

For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here.