Software Engineer III, Agents Platform

Box; Redwood City (CA); On-site; USD 165,000 - 206,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Box in Redwood City, CA is seeking a Senior Software Engineer to design, build, and operate backend platform services at scale within the AI Platform. You will collaborate with ML, product, and security teams to translate requirements into scalable capabilities on LangGraph.

You will own projects end‑to‑end, contribute to CI/CD, observability, and reliability, and help accelerate developer velocity across a multi‑tenant platform.

Qualifications

• 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.

Responsibilities

• 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.

Skills

3+ years software engineering

Object-oriented languages

Distributed systems

Production systems & observability

End-to-end ownership

Cross-functional collaboration

Growth mindset

Education

BS in Computer Science or related field

Tools

LangGraph

LangChain

Kubernetes

SDKs / developer tooling

Job description

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.

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.

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.

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

$165,000 — $206,500 USD