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 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.
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 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 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
- 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 Sagemaker etc
- Experience with LangChain/LangGraph or other agent definition languages
- Experience with Kubernetes bases systems
LEARN MORE ABOUT BOX AI- Introducing Box AI: Unlock the value of your content
- Box AI Principles
- Forbes Article
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 OPPORTUNITYWe 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.
Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information, check out our benefits and perks.
In accordance with OFCCP compliance, here is the Pay Transparency Provision.
United States Pay Range
$198,500-$248,000 USD
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