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9 часов назад

Backend Engineer (AI)

170 000 - 400 000$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Backend Engineer (AI): Building high-concurrency backend services for an agentic AI platform with an accent on real-time streaming, workflow state management, and reliable execution of model-driven actions. Focus on designing distributed systems, integrating LLMs into deterministic production pipelines, and optimizing low-latency infrastructure for scalable agent interactions.

Location: San Jose, United States

Salary: $170,000–$400,000 annually

Company

hirify.global is an artificial intelligence company developing personalized multimodal intelligence and next-generation hardware as a unified interface between humans and machines.

What you will do

  • Design and build high-concurrency backend services for agent orchestration, tool execution, and real-time streaming.
  • Develop failure handling, retry logic, and state management for long-running agentic workflows.
  • Architect foundational APIs, memory retrieval systems, and secure sandboxed execution environments.
  • Optimize low-latency streaming and high-throughput data processing.
  • Own features from low-level design and prototyping through deployment, monitoring, and performance tuning.
  • Implement system instrumentation and automated evaluation frameworks for system health and model-quality regressions.

Requirements

  • 5+ years of experience building mission-critical backend systems.
  • Expertise in concurrency, networking protocols, distributed systems, horizontal scaling, and production operations.
  • Experience integrating LLMs into backend pipelines and handling the failure modes of non-deterministic systems.
  • Strong experience with at least one systems-level language, such as Go, Rust, C++, or Java.
  • Experience with cloud-native architectures, AWS or GCP, container orchestration, and secure isolated execution sandboxes.
  • Ability to communicate architectural tradeoffs and collaborate with model researchers.

Nice to have

  • Experience with gRPC and WebSockets for high-performance streaming.
  • Experience with vector databases, distributed caching, or custom memory management systems.
  • Knowledge of Kubernetes, microservices security, or serverless execution patterns.
  • Experience building developer-facing APIs or SDKs.

Culture & Benefits

  • Full-time position on a small, high-ownership team.
  • Direct collaboration with model researchers and platform engineers.
  • Additional compensation components and benefits may be included depending on the role.

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