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AI Engineer (AI Agents)

150 000 - 230 000$
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
AI Engineer (AI Agents) (Applied AI): Building scalable multi-agent AI systems and complex agentic pipelines around open- and closed-source LLMs, with an accent on enterprise software integration, model fine-tuning, and AI infrastructure. Focus on designing tool-calling hierarchies, creating training and evaluation pipelines, and deploying secure inference services across AWS, Azure, and GCP.

Location: San Jose Office (HQ) or San Francisco Office, United States

Estimated base salary: $150K–$230K annually, plus equity.

Company

hirify.global builds multi-agent AI systems that automate complex enterprise workflows across platforms including SAP, Salesforce, Workday, Snowflake, and MuleSoft.

What you will do

  • Develop complex multi-step agentic pipelines using open-source and closed-source LLMs.
  • Build tools that enable AI systems to interact with critical enterprise software platforms.
  • Create data generation and processing pipelines for training and fine-tuning custom ML models.
  • Implement and manage LLM training and evaluation pipelines.
  • Manage AI infrastructure across AWS, Azure, and GCP, including inference endpoints and AI services.
  • Align AI system designs with business objectives and industry best practices.

Requirements

  • Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience in software engineering, platform engineering, or related roles.
  • Proven expertise in AI model building and agent development.
  • Strong experience developing ML- and LLM-driven systems.
  • Experience with compound AI systems, vector databases, and tool-calling AI systems.
  • Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.

Nice to have

  • Experience building and deploying production-grade, large-scale AI applications.
  • Familiarity with AI deployment, evaluation, and monitoring practices.
  • Ability to explain complex technical concepts to non-technical stakeholders.

Culture & Benefits

  • Fast-moving, high-growth environment focused on applied AI.
  • Strong ownership and emphasis on measurable enterprise impact.
  • Equity included in the compensation package.
  • Opportunity to build reliable, scalable AI systems at the frontier of enterprise automation.

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