Staff Software Engineer, AI Systems

Root

• $188K — $265K *
US-AnywhereRemote in United States
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of software engineering experience
  • 3+ years leading software teams or major initiatives
  • Ability to set technical direction across multiple teams
  • Deep expertise in cloud infrastructure (AWS, Terraform)
  • Strong judgment in systems design regarding reliability and security
  • Experience in AI/LLM platform architecture
  • Excellent communication skills for cross-team collaboration and influence

Responsibilities

  • Define company-wide AI capabilities and set multi-quarter technical direction
  • Lead cross-team initiatives to convert AI strategy into platform architecture
  • Make technical tradeoffs for speed while ensuring security and reliability
  • Unblock work by aligning decisions across engineering and security domains
  • Establish standards and feedback loops for continuous improvement of AI systems
  • Proactively anticipate technical constraints and drive necessary investments
  • Mentor and develop engineers and technical leaders through clear architecture

Benefits

  • Flexible work location within the US
  • Eligibility for competitive bonuses
  • Equity offering available
Full Job Description
The Opportunity

As a Staff Software Engineer focused on AI, you will help turn that ambition into trustworthy, useful capabilities across Root. You will set technical direction, lead work across teams, and connect the needs of people using AI in real workflows to the platforms and practices that support them. This role may emphasize foundational platform engineering or hands-on enablement and adoption, depending on your strengths and the work that needs to be done.

The work spans two closely connected teams: AI Platform builds shared infrastructure, tooling, and operating patterns for reliable and secure AI; AI Enablement Squad partners with teams to apply AI in their workflows and turns those learnings into reusable capabilities. Your impact will extend beyond either team.

Salary Range: $188,800 - $265,000 (Eligible for competitive bonus and equity offering)

Root is a "work where it works best" company. This means we will support you working in whatever location that works best for you across the US.

How You Will Make an Impact

  • Set a multi-quarter technical direction for how Root builds, adopts, and improves AI-enabled systems, balancing immediate opportunities with durable investments.
  • Lead cross-team initiatives from ambiguous problem framing through architecture, implementation, and measurable outcomes.
  • Connect real user workflows and experiments to shared services, platform strategy, and scalable ways of working rather than one-off solutions.
  • Make sound tradeoffs across security, responsible use, reliability, observability, cost, usability, and long-term maintainability.
  • Align engineering and business leaders on priorities and decisions; unblock work across product engineering, data, security, infrastructure, and other partners.
  • Establish feedback loops and measures that show whether AI capabilities are dependable and whether adoption improves how Root works.
  • Anticipate emerging constraints, shape technical investments, and multiply your impact by mentoring engineers and technical leaders.


What You Will Need to Succeed

  • 7+ years of software engineering experience and 3+ years leading software teams or major technical initiatives.
  • A record of setting technical direction and delivering results across multiple teams or a meaningful engineering domain.
  • Strong systems and product judgment: you can frame ambiguous problems, evaluate tradeoffs, and turn learning into reusable capabilities.
  • Experience with AI/LLM technologies and application patterns, with sound judgment about responsible, scalable use.
  • Depth in cloud/platform architecture and production operations, ideally including AWS, Terraform, and secure software delivery
  • Depth in hands-on AI enablement, user-centered problem discovery, and translating experiments into products or operating models
  • Ability to drive cross-team decisions, communicate complex ideas to senior technical and non-technical leaders, and develop engineers beyond your immediate team.


As part of Root's interview process, we kindly ask that all candidates be on camera for virtual interviews. This helps us create a more personal and engaging experience for both you and our interviewers. Being on camera is a standard requirement for our process and part of how we assess fit and communication style, so we do require it to move forward with any applicant's candidacy. If you have any concerns, feel free to let us know once you are contacted. We're happy to talk it through.

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