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обновлено 8 дней назад

Staff AI Engineer

169 400 - 211 700$
Формат работы
remote (только USA)
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

Текст:
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TL;DR
Staff AI Engineer (Agentic AI/LLMs): Building secure, scalable frameworks and infrastructure for autonomous AI agents, including orchestration, memory, governance, observability, and enterprise integrations with an accent on production-grade reliability and responsible deployment. Focus on designing multi-agent coordination, access control, policy enforcement, evaluation, monitoring, and scalable cloud-native systems.

Location: Remote, United States; listed location is San Diego, CA, USA.

Salary: $169,400–$254,100 annually.

Company

hirify.global provides an enterprise AI and data platform that connects data, knowledge, and business context across on-premises, cloud, and hybrid environments.

What you will do

  • Architect and implement secure, scalable frameworks for autonomous and agentic AI systems.
  • Define the technical roadmap for agent discovery, provisioning, orchestration, governance, and retirement.
  • Build infrastructure for multi-agent collaboration, memory and context management, extensibility, and safe execution.
  • Develop observability, evaluation, monitoring, drift detection, and closed-loop retraining capabilities.
  • Create SDKs and APIs that expose agentic functionality to developers and downstream applications.
  • Collaborate with AI researchers, platform engineers, product leaders, architects, and platform teams to deliver agentic capabilities.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
  • 8+ years of experience in software architecture, backend systems, Kubernetes, or AI infrastructure.
  • Experience designing, developing, and deploying secure autonomous agents at scale.
  • Knowledge of agent frameworks and orchestration models, including LangChain, AutoGen, CrewAI, or comparable tools.
  • Experience with cloud-native platforms, distributed systems, infrastructure scalability, APIs or SDKs, and security controls.
  • Experience with Python, Go, or Java, plus CI/CD, testing, observability, and cloud infrastructure across AWS, Azure, or Google Cloud.

Nice to have

  • Knowledge of LLMs, reinforcement learning, cognitive architectures, vector databases, or graph-based memory systems.
  • Experience with knowledge graphs, zero-trust architectures, AI governance, secure multi-tenancy, or identity security.
  • Contributions to open-source agent frameworks or LLM orchestration tooling.
  • Background in compliance-driven environments or enterprise SaaS platforms.

Culture & Benefits

  • Flexible work model supporting decisions about how, when, and where work is performed.
  • People-first and inclusive work environment focused on diversity, equity, and inclusion.
  • Healthcare, life and disability insurance, retirement savings, 401(k), and time-off programs.
  • Annual incentive plan eligibility for permanent non-sales roles.

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