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Principal Machine Learning Engineer, Agentic AI (AI)

204 400 - 326 600$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
principal
Английский
b2
Страна
US

Описание вакансии

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TL;DR

Principal Machine Learning Engineer, Agentic AI (AI): Developing advanced multimodal foundational technologies with an accent on perception and language understanding, deep reasoning, and reinforcement learning for AI agent decision-making. Focus on prototyping ideas, evaluating, and deploying models to hirify.global's highly scalable infrastructure platforms.

Location: Must be based in the US

Salary: $204,400.00 - $326,600.00 annually

Company

hirify.global is reimagining real estate to make home a reality for more and more people.

What you will do

  • Design, prototype, and develop multi-agent systems capable of highly autonomous and context-aware interactions, leveraging frameworks like AgentSDK and LangChain/LangGraph.
  • Build agentic prototypes using advanced GenAI models (including reasoning models and real-time voice APIs) and convert them into product-level agentic skills for user deployment.
  • Mentor and guide engineers in using appropriate technologies for agentic AI solutions, fostering innovation and responsible AI usage.
  • Distill complex research findings and system designs into actionable insights for diverse audiences, including executives.
  • Refine processes for experimentation, A/B testing, and production rollouts to balance rapid innovation with reliability and responsible deployment.

Requirements

  • Master's degree or above in Computer Science, Electrical Engineering, or a related field with emphasis on foundational LLM, agentic AI, reinforcement learning, AI planning, or natural language processing.
  • 7+ years of hands-on experience building large-scale, high-impact solutions, ideally with recent experience (within the last two years) in building agent-based systems, multi-agent collaboration, or similar paradigms.
  • Experience developing dialogue systems capable of long conversations, multi-step reasoning, and context-rich decision-making.
  • Experience deploying and scaling AI services capable of handling hundreds of millions of daily interactions with high availability, low latency, and robust fault tolerance.

Nice to have

  • A track record of publishing high-impact research in top AI/ML venues is a big plus.

Culture & Benefits

  • Comprehensive medical, dental, vision, life, and disability coverages.
  • Parental leave and family benefits.
  • Retirement contributions and paid time off.
  • A distributed-first model built on trust and clear systems.
  • Support for employees in doing their best work and living a flexible, well-balanced life.