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3 дня назад

Staff AI Engineer (AI)

190 000 - 210 000$
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

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TL;DR
Staff AI Engineer (AI/backend): Building and scaling distributed backend systems and APIs that serve production machine learning models, with an accent on LLM integration, model deployment, and resilient cloud infrastructure. Focus on fine-tuning transformer models, defining MLOps and observability standards, and leading complex architecture and performance initiatives across engineering teams.

Location: Remote within the United States

Base salary: $190,000–$210,000 per year

Company

hirify.global operates a U.S. Foodcare platform that combines personalized clinical nutrition, behavior-change tools, food benefits, meal planning, and online food ordering to improve health outcomes and access to nutritious food.

What you will do

  • Own the architecture and implementation of distributed, high-scale backend systems and APIs serving machine learning models in production.
  • Lead AI integration across product lines, including real-time and batch inference with LLMs, transformers, and classification models.
  • Fine-tune and deploy pre-trained models from platforms such as Hugging Face and OpenAI for mission-critical use cases.
  • Define standards for backend engineering, MLOps, model governance, observability, automation, and security.
  • Mentor engineers and collaborate with product, ML research, data engineering, and DevOps leaders.
  • Drive AI strategy, technical roadmaps, root-cause analysis, and performance tuning for reliable and scalable systems.

Requirements

  • 8+ years of professional software engineering experience, including 2+ years at Staff Engineer level or equivalent.
  • 4+ years of backend development with TypeScript, Node.js, and SQL-based relational databases such as PostgreSQL or MySQL.
  • At least 1 year deploying AI or ML models to production, including hands-on fine-tuning of LLMs or transformer-based models.
  • Strong knowledge of system architecture, AWS cloud infrastructure, scalable API design, and model deployment practices.
  • Experience with Docker, Kubernetes, dbt, Dagster, data pipelines, technical leadership, and cross-team mentoring.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

Culture & Benefits

  • Remote-first work environment with flexible remote location within the United States.
  • Unlimited paid time off.
  • Medical, dental, and vision coverage.
  • 401(k) plan and bonus opportunities.
  • Registered Dietitian sessions.
  • Culture centered on customer focus, urgency, high standards, respectful collaboration, and shared ownership.

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