Redwood CityFull TimeEngineering
Remotely
machine learningllmdistributed systemslanggraphautogendspy
Job Description
📋 Description
- Lead and grow a six-person hybrid team of software and ML engineers building and operating Box's
- Own onboarding of internal tenant teams onto the agent runtime, collaborating with PMs and
- Drive the technical architecture of the agent runtime service, including the context retrieval
- Champion an eval-driven culture: define evaluation frameworks, run quality assessments, and use
- Manage on-call rotation and incident response; drive improvements to minimize disruptions and
- Present weekly plans, progress, and demos to VP-level leadership and maintain visibility into
🎯 Requirements
- 7+ years in software or ML engineering with strong fundamentals in distributed systems and ML
- 2+ years of engineering management leading hybrid teams of software and ML engineers.
- Hands-on experience with AI agents or LLM-based systems; knowledge of agent architectures (ReAct
- Comfort in fast-moving, ambiguous environments; ability to adapt, stay focused, and deliver
- Strong cross-functional collaboration with product managers and engineering leaders across multiple
- Familiarity with LangGraph or agent harness frameworks (e.g., Dspy, AutoGen) is a plus.
🎁 Benefits
- Box values diversity and offers equity and comprehensive benefits.
- In-person collaboration is valued; Box expects office presence (minimum 3 days/week) in assigned
- Pay transparency and vendor-provided pay ranges are available; actual compensation depends on
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