Role Description
As a Senior Software Engineer on the Agent Platform / Evaluation Platform team within the Dropbox Dash organization, you will design and build the core systems that enable agents to reason, plan, and act on behalf of users. You will focus on the orchestration and evaluation infrastructure that powers Dash, Dropbox’s AI-first productivity product, and will serve as a foundation for future internal and external agents.
You will play a crucial role in areas such as multi-agent orchestration, planning and coordination, real-time execution, and continuous evaluation of agent behavior. You will define and implement the core APIs, data models, and platform capabilities that other teams across Dropbox will rely on to build intelligent, agentic experiences.
You will work closely with AI research, infra, and product teams, gaining exposure to senior leadership and helping shape the architectural and cultural foundations of Dropbox’s AI platform. This is a highly visible, high-impact role at a pivotal moment in Dropbox’s AI journey.
Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.
Responsibilities
- Design and build the orchestration and planning systems that power Dropbox’s agent platform, including task decomposition, scheduling, and error recovery.
- Implement real-time execution frameworks that allow multiple agents and tools to coordinate and act reliably at scale.
- Develop clean, extensible APIs, data models, and protocols that enable new agent capabilities to plug seamlessly into the platform.
- Build and maintain the evaluation platform used to measure agent performance (accuracy, latency, cost, safety, satisfaction) and catch regressions.
- Establish and improve observability, testing, and debugging workflows for agentic systems in production.
- Collaborate with AI research, infra, and product teams to translate high-level product goals and research insights into robust, production-ready systems.
- Contribute to technical roadmaps, design docs, and architecture reviews, helping set direction for agent platform and eval platform evolution.
Requirements
- 9+ years of professional software engineering experience, including significant experience building production-scale systems or platforms.
- Proven experience building or operating orchestration, workflow, or scheduling systems (e.g., task graphs, workflow engines, pipelines).
- Strong technical understanding of system design, service reliability, fault tolerance, API design, and observability.
- Demonstrated ability to drive complex technical projects end-to-end and work effectively across research, infra, and product teams.
- Strong analytical and problem-solving skills with a focus on measurable outcomes (latency, throughput, reliability, cost).
- Excellent written and verbal communication skills, with the ability to explain design decisions and influence technical direction across teams
Preferred Qualifications
- Experience building or working with agentic AI systems (e.g., multi-step reasoning workflows, tool orchestration, planning frameworks, retrieval-augmented generation).
- Background in evaluation systems for LLMs or agentic workflows (e.g., quality metrics, automatic evaluation pipelines, human-in-the-loop feedback).
- Prior work on developer platforms, SDKs, or frameworks used by other engineers to build on shared infrastructure.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Compensation
