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2 дня назад

Senior Applied AI Engineer (Healthtech)

Формат работы
remote (только United_states/Canada)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
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 Applied AI Engineer (Healthtech): Building and operating production multi-agent systems to transform longitudinal health data into actionable insights with an accent on agentic orchestration, reliability, and safety. Focus on integrating frontier LLMs into proprietary health datasets, ensuring low-latency inference, and maintaining rigorous evaluation pipelines for clinical-grade recommendations.

Location: Must be based in the US or Canada

Company

hirify.global is an AI-powered health operating system that provides proactive, data-driven insights into human biology through advanced diagnostics and longitudinal biomarker testing.

What you will do

  • Architect and build stateful, graph-based agent workflows with memory and planning capabilities.
  • Integrate frontier LLMs and multimodal models using structured I/O and tool calling.
  • Develop high-reliability APIs and streaming services for real-time health data inference.
  • Implement robust evaluation pipelines including LLM-as-judge, human-in-the-loop, and regression testing.
  • Optimize system performance regarding cost, latency, and throughput for production-scale health AI.
  • Ensure production readiness through observability, tracing, and strict adherence to SLOs.

Requirements

  • Must be based in the US or Canada
  • 1+ years of experience building agentic AI systems
  • 6+ years of experience as a full-stack or ML engineer in Python, Go, or similar
  • Fluency with agentic orchestration frameworks like LangGraph, PydanticAI, or LlamaIndex
  • Strong expertise in API design, backend frameworks, and event-driven architectures
  • Experience with vector databases, retrieval systems, and production-grade observability

Nice to have

  • Expertise in real-time multimodal systems and low-latency streaming
  • Experience with Graph RAG and advanced query planning
  • Knowledge of regulated data environments (HIPAA, SOC 2, GDPR)
  • Background in consumer-scale AI applications or edge acceleration

Culture & Benefits

  • Competitive salary and comprehensive benefits package
  • Flexible working hours in a dynamic, mission-driven environment
  • Opportunity to work on high-impact health technology with a venture-backed team
  • Commitment to diversity, inclusion, and equal opportunity employment

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