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1 день назад

Senior Principal AI Engineer (AI)

229 800 - 298 700$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Senior Principal AI Engineer (AI): Designing and owning the technical vision for enterprise-scale AI-as-a-Service (AIaaS) with an accent on full-spectrum AI engineering, from model training and fine-tuning to production operations. Focus on establishing reference architectures for agentic orchestration, designing end-to-end RAG systems, and ensuring responsible AI safety and observability.

Location: Remote (USA)

Salary: $229,800 - $298,700

Company

hirify.global provides software solutions for regulated SaaS environments, focusing on the enablement of enterprise-scale AI-as-a-Service.

What you will do

  • Own the technical vision and enterprise standards for AI-as-a-Service (AIaaS) across the organization.
  • Develop and execute model-training strategies, personally handling fine-tuning using PEFT, LoRA, and QLoRA when required.
  • Architect orchestration and abstraction layers for agentic systems, including MCP servers and tool-surface design.
  • Design end-to-end RAG systems, including chunking strategies, embeddings, vector stores, and hybrid search.
  • Define the enterprise strategy for AI evaluation, observability, red-teaming, and safety guardrails.
  • Mentor Principal and Staff engineers to raise the AI engineering bar across the organization.

Requirements

  • 15+ years of experience in AI/ML software engineering delivering production AI at enterprise scale.
  • Hands-on mastery of LLM training, fine-tuning, and orchestration (Agentic systems, RAG).
  • Deep expertise in distributed systems, cloud-native architecture, and large-scale data pipelines.
  • Experience with Azure and operating within regulated SaaS environments.
  • Must be based in the USA.
  • English: C1 level required for executive communication and technical storytelling.

Nice to have

  • Advanced degree in Computer Science, Engineering, or a related discipline.
  • Industry experience in tax, insurance, fintech, or healthcare domains.
  • Experience with FinOps for GenAI to optimize LLM token and inference costs.
  • Contributions to open-source AI tooling, published research, or patents.

Culture & Benefits

  • Total compensation package including base salary, bonus plan (VOB), and equity grants.
  • A culture based on "The Winning Way": clear communication, urgency, purpose, and ownership.
  • Opportunity to serve as the final technical authority and escalation point for the hardest AI problems.

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