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1 день назад

AI Engineer

160 000 - 225 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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

AI Engineer: Building high-performance systems that orchestrate AI tools, making agentic AI fast, reliable, scalable, and secure at the enterprise level with an accent on low-latency tool execution and robust state management. Focus on system optimizations for model routing, prompt caching, and token optimization to ensure maximum efficiency.

Location: Onsite in Menlo Park, CA, US

Salary: $160K – $225K

Company

hirify.global is powering the era of the agentic enterprise.

What you will do

  • Build and scale the orchestration engines that execute complex agentic workflows.
  • Develop and design high-performance systems for RAG, including vector database integration and scalable search indexing.
  • Build the automated infrastructure required to run massive-scale golden set simulations and error analysis pipelines.
  • Collaborate with the modeling team to turn raw LLM capabilities into hardened, multi-tenant microservices.
  • Implement system optimizations for model routing, prompt caching, and token optimization.

Requirements

  • Bachelor's degree in Computer Science or a related technical field; Masters or PhD preferred.
  • 4+ years of industry experience designing, building, and supporting distributed systems, high-throughput APIs, machine learning platforms, or data-intensive systems.
  • Deep proficiency in Python and strong experience with Go or Java. Familiarity with C++ is a plus.
  • Strong understanding of database internals, distributed state management, and cloud-native architecture.
  • Familiarity with the plumbing of AI, such as vector indices, agent platforms, and working with frameworks like PyTorch, TensorFlow, or XGBoost.
  • A growth mindset and excitement about breaking the status quo by seeking innovative solutions.

Nice to have

  • Experience with query optimization and SQL engine internals.
  • Designing multi-tenant systems that handle sensitive enterprise data at scale.
  • Developing search infrastructure for large-scale applications.

Culture & Benefits

  • Scaling our team to help enable and accelerate our growth.
  • Looking for people who share our values, challenge ordinary thinking, and push the pace of innovation.

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