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20 часов назад

Principal Software Engineer (AI)

204 000 - 348 000$
Тип работы
fulltime
Грейд
senior
Английский
c1
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

Principal Software Engineer (AI): Designing and building agentic interfaces, APIs, and platform integrations for an AI-native scientific research platform with an accent on LLM orchestration, complex data architecture, and high-performance system design. Focus on building scalable infrastructure that connects AI models to automated lab workflows and multi-domain knowledge graphs to accelerate scientific discovery.

Location: Must be based in the USA (Cambridge, MA or San Francisco, CA)

Salary: $204,000 - $348,000 USD

Company

hirify.global is an AI-native startup building a Scientific Superintelligence™ platform to autonomously execute the scientific method across medicine, materials, and energy.

What you will do

  • Design and build high-performance, secure UI and APIs for AI-driven scientific applications.
  • Develop and manage complex database architectures including SQL, NoSQL, and Vector databases.
  • Drive full-stack implementation focusing on performance, maintainability, and system reliability.
  • Optimize system bottlenecks to ensure high availability across large-scale workloads.
  • Leverage AWS, Kubernetes, and modern DevOps practices for production-grade deployments.
  • Collaborate with ML researchers and scientists to integrate data pipelines into scientific workflows.

Requirements

  • 8-15 years of engineering experience in large-scale production systems.
  • Full Stack proficiency with React, TypeScript, Python, and FastAPI.
  • Proven ability to own complex backend challenges and architectural trade-offs.
  • Experience using AI coding assistants to drive development productivity.
  • Strong communication skills with the ability to collaborate cross-functionally with scientists.
  • Must be authorized to work in the USA.

Nice to have

  • Experience with AI agents, RAG pipelines, or LLM orchestration frameworks.
  • Hands-on experience with AWS, Terraform, and CI/CD pipelines.
  • Familiarity with data science libraries like PyTorch, JAX, or NumPy.
  • Background in laboratory software, robotics, or scientific instrumentation.

Culture & Benefits

  • Competitive base compensation with bonus potential.
  • Generous early-stage equity package.
  • Comprehensive U.S. benefits package.
  • Work in a high-velocity startup environment focused on historic scientific impact.
  • Collaborative culture centered on truth, trust, curiosity, and grit.

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