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1 день назад

Senior Software Engineer (AI Platform)

155 000 - 190 000$
Формат работы
hybrid
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 Software Engineer (AI Platform): Building the reliable, scalable backend platform that powers adaptive AI systems in healthcare with an accent on cloud-native infrastructure and production-grade backend services. Focus on designing secure AI-enabled workflows, implementing agentic AI patterns, and ensuring high operational reliability for healthcare intelligence at scale.

Location: Hybrid in Seattle, WA (Must be authorized to work in the US)

Salary: $155,000 – $190,000

Company

hirify.global is a health provider-led data platform dedicated to saving lives with data by empowering researchers and clinicians.

What you will do

  • Engineer and operate cloud-native platforms using Kubernetes, Docker, and Terraform.
  • Design and own production backend services using async-first Python and modern tooling like uv and ruff.
  • Develop secure AI-enabled workflows and integrate LLM APIs such as OpenAI and Azure OpenAI.
  • Implement agentic AI patterns using frameworks like LangGraph, LangChain, or MCP.
  • Collaborate with ML, application, and product engineers to transform concepts into scalable solutions.
  • Mentor peers and drive production ownership from design through to deployment and debugging.

Requirements

  • 5+ years of software engineering experience with ownership of platform or backend infrastructure.
  • Strong proficiency in Python, including async programming, testing, and maintainable service design.
  • Hands-on experience with Kubernetes, CI/CD pipelines, and Infrastructure-as-Code (Terraform/Terragrunt).
  • Experience with security-conscious engineering, including CVE triage, OWASP practices, and token hygiene.
  • Must be authorized to work in the United States (no visa sponsorship available).
  • B.S. or M.S. in Computer Science, Engineering, Artificial Intelligence, or equivalent experience.

Nice to have

  • Experience with AKS and Azure Pipelines.
  • Familiarity with agentic AI frameworks (LangGraph, LangChain) or interoperability protocols.
  • Experience with artifact registry management (JFrog, Docker/PyPI proxying).

Culture & Benefits

  • Comprehensive medical, dental, and vision insurance plans.
  • 401K retirement plan.
  • Work/life autonomy via flexible work hours and flexible paid time off.
  • Generous parental leave.
  • Professional development and training opportunities for continuous learning.
  • Regular virtual and in-person team activities.

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