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Описание вакансии
Текст:
TL;DR
AI Platform Engineer (Agentic Systems): Building shared platform primitives, model development infrastructure, and context-aware execution systems for AI products with an accent on memory, tools, model coordination, and durable execution. Focus on designing production-grade distributed systems, defining architecture boundaries, and controlling reliability, latency, cost, and security.
Location: San Francisco; Remote. The listed location type is On-site.
Salary: L4 Mid-level $180,000–$250,000 per year plus equity; L5 Senior $220,000–$300,000 per year plus equity.
Company
Wispr Flow is an AI research and product company building voice interfaces for computing, including Flow and Notetaker.
What you will do
- Build shared platform primitives for agentic systems, including memory, context management, tools, and background execution.
- Create reusable infrastructure for model prototyping, training, evaluation, and developer tooling.
- Develop systems for triggers and context capture across devices, surfaces, and modalities.
- Design model coordination and execution handoff harnesses.
- Make platform systems production-ready through observability, recovery, security, and latency and cost controls.
Requirements
- Experience designing and shipping significant greenfield systems from ambiguous problems through production use.
- Experience building shared primitives adopted by multiple teams, with deliberate abstraction boundaries and developer experience.
- Background owning backend or distributed systems with critical scaling and reliability requirements.
- Ability to design from user-experience requirements covering latency, quality, privacy, and trust.
- Experience aligning product, ML, client, and infrastructure teams and driving architecture decisions to closure.
- Visa sponsorship is available for H1B, O1, EB1, L1, STEM OPT, and other cases when applicable.
Nice to have
- Experience training foundation models, building low-level inference stacks, or working across the listed AI systems domains.
- Exceptional depth in backend and platform systems with the ability to learn adjacent areas quickly.
Culture & Benefits
- Equity on employee-friendly terms, including extended exercise windows and a combination of ISOs and RSUs.
- Work on voice interfaces and AI products intended for everyday use at large scale.
- Fair and accessible interview process with accommodations available.
- Strong emphasis on rapid testing of ideas, technical depth, and diverse perspectives.
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