Назад
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1 день назад

Senior AI Engineer

170 000 - 340 000$
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
Senior AI Engineer (AI/ML): Design, build, and ship production AI/ML systems and features with an accent on end-to-end ownership, LLM integration, and scalable deployment. Focus on selecting and evaluating models, building observable MLOps pipelines, managing latency and cost trade-offs, and mentoring engineers on ML quality and testing.

Location: United States · Remote

Compensation: $170,000–$340,000 annually

Company

hirify.global is a specialist executive search firm focused on recruiting leaders who help organizations navigate AI transformation.

What you will do

  • Design, build, and ship AI/ML systems and features in production, owning quality and performance across the full lifecycle.
  • Select and evaluate ML frameworks, model architectures, and deployment strategies based on business requirements and technical constraints.
  • Partner with data scientists and product teams to turn research and prototypes into reliable, scalable systems.
  • Implement monitoring, logging, and observability to track model performance, detect drift, and respond to production issues.
  • Integrate LLMs, embeddings, and other AI/ML components into application workflows while managing latency and cost trade-offs.
  • Lead code reviews, mentor junior engineers, and collaborate with infrastructure and platform teams to optimize compute resources and ensure reproducible, auditable AI pipelines.

Requirements

  • 5+ years of professional software engineering experience, including 2–3 years building and deploying ML/AI systems in production.
  • Strong Python, software architecture, and debugging skills, with hands-on experience using ML frameworks such as PyTorch or TensorFlow and MLOps tooling.
  • Ability to own systems end-to-end, from problem definition and model selection through training, evaluation, and monitoring.
  • Production experience with LLMs, retrieval-augmented generation, or fine-tuning.
  • Ability to explain technical trade-offs and AI system behavior to product, business, and non-technical audiences.
  • Track record of shipping features or systems on schedule and collaborating effectively across teams in fast-moving environments.

Culture & Benefits

  • Permanent remote work for candidates based in the United States.
  • Opportunity pipeline covering AI transformation roles across Professional Services, Technology, Financial Services, and Healthcare.
  • Work involving production AI systems, LLM tooling, scalable infrastructure, and cross-functional collaboration.

Hiring process

  • This posting is for future opportunities rather than one specific open role.
  • Applications are added to the hirify.global candidate network for consideration when relevant roles become available.

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