10 дней назад
Head of Platform Engineering (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Head of Platform Engineering (AI): Owning and scaling Reducto’s document-serving platform, from job orchestration and document processing through model inference, autoscaling, deployment, and observability, with an accent on reliability, latency, cost efficiency, and customer-cloud and on-premise environments. Focus on completing the serving-stack migration, building the platform engineering team, deploying vision-language models at scale, and developing data and agent-runtime infrastructure.
Location: On-site at the San Francisco office, United States
Company
provides an agentic document platform that uses vision models, LLMs, and document-processing systems to help enterprise customers extract and use information from complex documents.
What you will do
- Own the serving platform end to end, including job orchestration, document pre- and post-processing, model inference, autoscaling, throttling, and the serving-stack migration.
- Build deployment and serving capabilities for customer cloud and on-premise environments.
- Develop observability, alerting, and incident-response systems while improving reliability, latency, and cost per document.
- Own the platform roadmap and technical decisions, and recruit and build the platform engineering team.
- Work with Product Engineering to scale agent runtimes and environments, and build an internal data platform for users and ML teams.
- Partner with ML and Product Engineering to roll out new models and deployment capabilities.
Requirements
- At least three years of experience owning reliability, latency, and efficiency for a platform at significant scale, with measurable results.
- Recent hands-on experience writing design documents and production code and reviewing engineering work.
- Experience attracting, hiring, and retaining high-performing engineering talent.
- Experience with infrastructure as code and containerized deployments operated in production.
- Experience serving ML models, particularly vision-language models, at scale.
- Experience building data platforms, managing on-premise deployments, or working with agent sandboxes, harnesses, and evaluations.
Nice to have
- Experience as a founder, founding engineer, or owner of a greenfield project taken from zero to one.
- Experience building and managing on-premise deployments and agent infrastructure.
Culture & Benefits
- Early-stage environment focused on fast execution and hands-on engineering.
- Unlimited paid time off.
- Daily lunch at the office and reimbursed transportation.
- Medical, dental, and vision insurance.
- Up to $150 per month for health and wellness expenses.
- Parental leave with a schedule tailored to individual family needs.
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