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21 час назад

AI Software Development Engineer (AI)

195 200 - 275 580$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

AI Software Development Engineer (AI): Building and scaling production-grade data infrastructure for agentic AI systems with an accent on orchestration, reliability, and enterprise integration. Focus on engineering resilient platforms for multi-agent coordination, observability, and adaptive execution in complex environments.

Location: On-site presence required in Phoenix, AZ; Folsom, CA; or Hillsboro, OR

Salary: $195,200–$275,580 USD

Company

hirify.global is a global leader in semiconductor manufacturing and technology innovation, driving the future of the AI era.

What you will do

  • Productionize graph-based orchestration for planner-executor-validator and multi-agent patterns.
  • Design and maintain data pipelines connecting distributed enterprise data to a centralized semantic layer.
  • Define and track SLIs/SLOs for task completion, reasoning quality, latency, and cost.
  • Implement CI/CD practices tailored for agent deployments, including versioning configurations and prompts.
  • Build full-stack observability for agent runs, including traces, state transitions, and tool telemetry.
  • Optimize compute, storage, and inference paths for sustained agent throughput.

Requirements

  • Master’s degree with 5+ years of experience or PhD with 3+ years of experience in Software Engineering, Computer Engineering, or related field.
  • Strong proficiency in Python for orchestration, data pipeline development, and platform automation.
  • Experience in DevOps, SRE, data engineering, or infrastructure engineering for production AI systems.
  • Knowledge of LLM serving, retrieval infrastructure, and runtime control for non-deterministic systems.
  • Experience building RAG and knowledge-graph-backed systems for production LLM applications.
  • Must be able to work on-site in designated US locations.

Nice to have

  • Experience designing multi-agent systems with human-in-the-loop controls.
  • Strong experience with Kubernetes, infrastructure as code, and production observability.
  • Deep experience with enterprise integration patterns like RBAC and ABAC.
  • Track record in production evaluation frameworks for agent quality and safety.

Culture & Benefits

  • Competitive total compensation package including base pay and stock bonuses.
  • Comprehensive health and retirement benefit programs.
  • Generous vacation and time-off policies.
  • Opportunity to work on cutting-edge AI infrastructure at a global scale.

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