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14 часов назад

Senior Software Engineer (AI Platform)

158 000 - 176 000$
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 Software Engineer (AI Platform): Building and maintaining AI platform infrastructure and services with an accent on cloud-native streaming, Kubernetes, and container security. Focus on integrating Generative AI code assistants, optimizing real-time performance, and ensuring robust observability for AI-driven healthcare solutions.

Location: Must be based in the US. Occasional travel to Mississauga or Salt Lake City offices is required for onboarding and team events.

Salary: $158,000–$176,000 per year + bonus + benefits.

Company

A leading health tech company providing a platform for long-term and post-acute care, focused on innovation and human-first healthcare solutions.

What you will do

  • Identify, prioritize, and execute tasks within the software development life cycle.
  • Develop and maintain AI platform infrastructure, including Kubernetes and container security.
  • Implement and optimize AI infrastructure components such as vector databases and prompt stores.
  • Collaborate with internal teams to iterate on requirements and improve product performance.
  • Ensure real-time performance through advanced observability and monitoring frameworks.
  • Utilize Generative AI tools daily for code assistance and spec-driven development.

Requirements

  • Must be based in the US.
  • Extensive experience with Java and Spring Boot.
  • Strong background in Azure cloud services and cloud-native streaming (e.g., Event Hub).
  • Deep knowledge of relational databases and RESTful API design.
  • Proven expertise in AI infrastructure, Kubernetes, and container security.
  • Proficiency in CI/CD pipelines and automated testing frameworks.

Nice to have

  • Experience with Kafka or compatible platforms.
  • Knowledge of authentication frameworks like OAuth and OpenID Connect.
  • Familiarity with vLLM, SGLang, or similar LLM inference frameworks.
  • Experience working on SaaS products.

Culture & Benefits

  • Comprehensive benefits package starting from Day 1.
  • Retirement plan matching and wellness support programs.
  • Flexible Paid Time Off and parental/caregiver leaves.
  • Continuous development support and learning opportunities.
  • Inclusive culture with dedicated allyship communities.

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