Hercules
Hercules
Hercules — ассистентпен сөйлесу арқылы веб-қосымшалар, мобильді қосымшалар, лендингтер, электрондық коммерция дүкендері және ішкі құралдар жасауға арналған жасанды интеллектпен жұмыс істейтін SaaS платформасы. Оның кодсыз, толық стекті ортасы аутентификацияны, бэкенд қызметтерін, дерекқорларды, файлдарды сақтауды, электрондық поштаны, төлемдерді, хостингті, аналитиканы және интеграцияларды біріктіреді. Бұл жасаушылар мен бизнеске код жазбай-ақ цифрлық өнімдерді әзірлеуге, іске қосуға және басқаруға мүмкіндік береді. Компания жасанды интеллектіні дизайн мен әзірлеуді автоматтандырумен, коммерциялық мүмкіндіктермен және орналастыру құралдарымен ұштастырады.

Staff Software Engineer, Data Platform (Rust) — Hercules, San Francisco Hybrid

Lead development of Hercules’ AI platform-as-a-service as a Staff Software Engineer. Build Rust-based data systems, APIs, SDKs, and scalable infrastructure for customer applications.

Сипаттама

  • Lead engineering for Hercules’ platform-as-a-service
  • Create the Hercules Database, an enterprise-grade object model with flexible schemas and fine-grained access controls
  • Develop a high-performance, scalable backend-as-a-service integrated with the Hercules Database
  • Design APIs and SDKs that enable AI agents to build on the platform
  • Optimize systems for low latency, high throughput, and efficient resource utilization
  • Build and operate dependable infrastructure supporting customer applications
  • Strengthen tenant isolation, observability, and resilience against failures
  • Use Hercules’ technologies, cloud platforms, and AI models, including TypeScript, React, Postgres, Redis, ClickHouse, Docker, AWS, Cloudflare, OpenAI, Anthropic, and Google models

Талаптар

  • Staff-level experience in platform engineering
  • Strong software engineering fundamentals across system design, architecture, data modeling, and API design
  • Ability to produce clean, maintainable code and collaborate effectively in monorepos
  • Professional Rust experience developing efficient, reliable production systems
  • Working knowledge of data systems, including indexing, query performance, transactions, and consistency
  • Experience scaling large, data-intensive, multi-tenant distributed services
  • Ability to improve latency, throughput, and resource efficiency
  • Ability to use AI coding tools to substantially accelerate development
  • Willingness to work in US time zones if remote
  • Willingness to travel regularly to the San Francisco office if remote

Артықшылықтар

  • Equity
  • Unlimited AI token budget
  • Flexible vacation policy allowing employees to take the time they need
  • Healthcare, vision, and dental coverage
  • Daily lunches, dinners, and snacks in the office

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