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3 часа назад

Senior AI/ML Engineer (GenAI)

125 600 - 157 000$
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/ML Engineer (GenAI): Designing and deploying enterprise-grade Generative AI and Machine Learning platforms with an accent on RAG, agentic architectures, and scalable MLOps pipelines. Focus on building robust, compliant AI systems that power critical healthcare workflows and clinical innovation.

Location: Must be based in the US (Remote)

Salary: $125,600 - $157,000 USD

Company

hirify.global is a global leader in cell-free DNA testing, dedicated to oncology, women’s health, and organ health through personalized genetic diagnostics.

What you will do

  • Design and implement foundational GenAI services including vector search, prompt tuning, and agent orchestration.
  • Build standardized APIs and SDKs to enable product teams to deploy and monitor Generative AI workloads.
  • Develop infrastructure for autonomous AI agents supporting reasoning, memory persistence, and collaboration.
  • Implement RAG at scale with ingestion pipelines, hybrid search, and relevance scoring.
  • Integrate observability tools and automated evaluation pipelines to ensure model performance and safety.
  • Establish best practices for AI/ML development and mentor junior engineers on platform architecture.

Requirements

  • 5+ years in software/ML engineering, with 3+ years in ML engineering at scale.
  • Expertise in building production-grade ML/LLM systems on AWS (Python, TensorFlow/PyTorch, Spark, MLflow/Kubeflow).
  • Proven track record with GenAI/LLMs: fine-tuning, RAG, prompt orchestration, and agentic systems.
  • Deep knowledge of data-intensive systems, distributed architectures, and cloud-native development.
  • Experience building secure, compliant data/AI systems with a focus on automation and policy checks.
  • Must be authorized to work in the United States.

Nice to have

  • Masters degree in Computer Science, AI/ML, or related field.
  • Experience in healthcare, pharma, diagnostics, or other regulated industries.
  • Familiarity with AI governance frameworks and compliance standards like HIPAA, CLIA, or FDA.

Culture & Benefits

  • Comprehensive medical, dental, vision, life, and disability insurance plans.
  • Generous pregnancy and baby bonding leave.
  • 401k retirement benefits and commuter benefits.
  • Free genetic testing and fertility care benefits for employees and immediate families.
  • Inclusive workplace environment committed to diversity and equal opportunity.

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