3 часа назад
Software Engineer (AI Infrastructure)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (AI Infrastructure): Building core infrastructure for an agent platform that enables AI agents to access tools, interact with the web, manage state and memory, and execute complex workflows with an accent on distributed systems, orchestration, reliability, and scalability. Focus on designing production systems, solving operational challenges for autonomous agents, and shaping architecture and developer tooling in a fast-moving startup environment.
Location: San Francisco, CA; on-site
Company
builds an end-to-end platform for shipping and scaling agentic products, combining infrastructure, tools, services, and operational capabilities for AI agents.
What you will do
- Own critical platform and infrastructure systems from architecture through production.
- Design and build reliable systems for AI agents executing complex, multi-step workflows.
- Develop infrastructure for agent execution, orchestration, state, memory, tools, integrations, and external services.
- Work across backend, infrastructure, platform, and developer tooling as needed.
- Solve reliability, scalability, performance, and operational challenges in production.
- Partner with the founding team to shape product and engineering direction.
Requirements
- Strong software engineering fundamentals and exceptional coding ability.
- Experience designing and building distributed, highly reliable systems.
- High agency, ownership, systems thinking, and strong architectural judgment.
- Ability to work across different layers of the stack and make pragmatic tradeoffs.
- Interest in infrastructure for AI agents and experience using AI-native development tools.
- Comfort working with significant autonomy in a fast-moving startup environment.
Nice to have
- Experience building infrastructure, platforms, or developer tools.
- Experience with distributed systems, orchestration, workflow engines, external services, or APIs.
- Familiarity with AI/ML systems, LLMs, inference, or agent architectures.
- Experience with databases, queues, messaging, storage, observability, payments, or financial infrastructure.
- Experience at a high-growth or early-stage company and on highly autonomous engineering teams.
Culture & Benefits
- High-autonomy engineering environment with direct collaboration with the founding team.
- AI-native development tools are used extensively for development, debugging, and problem solving.
- Backed by $55M in capital from Dragonfly, Accel, Menlo, and Anthropic.
- Work on an agent platform spanning infrastructure, payments, developer tooling, and production operations.
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