10 часов назад
Platform Engineer (AI)
140 000 - 280 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Platform Engineer (AI): Building and operating the databases, AWS infrastructure, networking, observability, CI/CD, and evaluation systems that support hundreds of services and concurrent agentic AI workloads with an accent on reliability, scalability, and developer velocity. Focus on orchestrating non-deterministic AI workloads, designing failure-resistant infrastructure, detecting silent system and business failures, and improving operational cost under load.
Location: San Francisco, in-office five days a week. Candidates must be based in San Francisco or willing to relocate to the United States. Schedule: Monday–Friday with a very early morning start.
Salary: $140,000–$280,000 depending on experience, plus performance bonuses and equity.
Company
is building AI-led commercial insurance infrastructure to improve coverage distribution, customer experience, and operational efficiency for American businesses.
What you will do
- Own core infrastructure across databases, AWS services, networking, and CI/CD.
- Build systems for thousands of concurrent AI operations with sub-second response times and cost-efficient scaling.
- Design observability for system errors and silent business-level failures.
- Orchestrate parallel, non-deterministic agentic workloads and build infrastructure that evaluates AI output quality.
- Develop tooling and abstractions that improve product engineering velocity.
- Own reliability through SLOs, on-call operations, incident response, and post-mortems.
Requirements
- Production ownership experience at scale, including responding to pages and operating systems under real load.
- Depth in at least two areas: databases, AWS cloud infrastructure, networking, observability, or CI/CD.
- Experience designing retries, dead-letter queues, back pressure, idempotency, and other reliability mechanisms.
- Software engineering experience with a platform, infrastructure, or SRE focus.
- Proficiency in Python, TypeScript, Go, or a similar language.
- Production experience with AWS, Postgres, and observability tooling.
Nice to have
- Experience orchestrating AI/ML workloads at scale, including agent frameworks or LLM inference infrastructure.
- Voice AI or real-time systems experience.
- Deep AWS experience with ECS, Lambda, RDS, and VPC design.
- Prior startup experience, especially in hypergrowth environments.
Culture & Benefits
- Work directly with founders and product engineers.
- Breakfast, lunch, dinner, snacks, drinks, and coffee provided in the office.
- Uber commuter benefits and a free gym membership.
- Health, dental, and vision insurance.
- Tools and infrastructure are treated as products that improve engineering effectiveness.
Hiring process
- Remote 60-minute technical screen covering a project deep dive and system design.
- On-site Super Day with team meetings, operational observation, and practical work alongside the team.
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