Staff Software Engineer, Backend (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Staff Software Engineer, Backend (AI): Designing and scaling the infrastructure for AI-native product experiences, including generation pipelines and model orchestration, with an accent on system architecture and reliability. Focus on translating ambiguous AI opportunities into scalable technical execution plans and improving engineering velocity via AI-assisted development.
Location: Hybrid (Seattle, Washington, United States)
Salary: $210,000 – $275,000 USD per year
Company
World’s leading tool for AI-powered meeting transcription, summarization, and collaboration.
What you will do
- Design foundational systems, including generation pipelines, data models, and evaluation frameworks for AI-native surfaces.
- Lead cross-team technical strategies to align product, AI, and infrastructure teams on architecture and execution.
- Establish engineering standards for AI product development, covering reliability, iteration loops, and system design.
- Translate ambiguous product opportunities into clear technical approaches and scalable execution plans.
- Influence engineering quality and product thinking across the organization to raise the technical bar.
- Drive the adoption of AI-assisted development practices to accelerate engineering velocity.
Requirements
- 10+ years of experience building and scaling complex systems.
- Proven track record of owning technical and product direction for large or ambiguous problem spaces.
- Deep expertise in system design, specifically for data-intensive or distributed systems.
- Experience leading cross-team initiatives and influencing stakeholders without direct authority.
- Strong product intuition to balance user experience, system constraints, and business impact.
- Must be based in or able to work in Seattle, WA under a hybrid arrangement.
Nice to have
- Experience building LLM-powered features using prompting, evaluation, or RAG.
- Experience designing systems that balance latency, cost, and quality.
- Exposure to user feedback loops, experimentation, or evaluation frameworks.
Culture & Benefits
- Comprehensive total rewards package.
- Opportunity to shape the future of AI-native work and conversation tools.
- Inclusive and accessible workplace culture celebrating diversity.
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