10 часов назад
Generalist Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Generalist Engineer (AI): Building the SDK, API surfaces, integration infrastructure, and product interfaces that make continual learning understandable and actionable, with an accent on developer experience, evaluation workflows, telemetry, and monitoring. Focus on designing trajectory visualization, observability systems, and scalable interfaces for continuously improving AI models in a zero-to-one environment.
Location: San Francisco, United States; on-site
Company
is a research and product lab building a platform for continual learning that helps AI companies continuously post-train large-scale agentic models from signals generated through product usage.
What you will do
- Build and own the SDK, API surfaces, and integration infrastructure for continual-learning products.
- Develop visualization, evaluation workflows, monitoring dashboards, and core product interfaces.
- Translate reinforcement learning systems into a clean, developer-first product experience.
- Define the product’s visual language, interaction patterns, and product philosophy.
- Work directly with founders and AI product design partners to shape the product from zero to one.
Requirements
- Strong full-stack or backend engineering experience.
- Experience building AI-powered products or agent systems and experimenting with new frameworks.
- Experience building developer-facing products or SDKs.
- Experience with data pipelines, telemetry systems, or event infrastructure.
- Ability to move quickly in a zero-to-one environment.
- Ability to work on-site in San Francisco.
Nice to have
- Experience building observability, tracing, or monitoring systems.
- Experience at early-stage developer tooling startups.
- Strong product instincts and experience working directly with customers.
- Experience owning SDK design and developer ergonomics.
Culture & Benefits
- Work directly with the founders and leading AI companies.
- Operate in an early-stage research and product lab environment.
- Collaborate with design partners including Decagon, Clay, Harvey, Mercor, and Rogo.
- Contribute to a product focused on continual learning and agentic AI systems.
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