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1 день назад

Senior Software Engineer, Data (AI)

144 000 - 288 000$
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, Data (AI/Python): Building and supporting the data systems underpinning the AI Science Factory with an accent on real-time ingestion, analytical storage, and workflow orchestration. Focus on designing high-performance APIs, scaling diverse database architectures, and optimizing system reliability for large-scale scientific workloads.

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

Salary: $144,000 - $288,000 USD

Company

hirify.global is building Scientific Superintelligence™ to solve humankind's greatest challenges through an autonomous operating system for science.

What you will do

  • Design and build high-performance, secure, and well-documented APIs for AI-driven applications.
  • Develop schemas and manage SQL, NoSQL, and Vector databases for optimal performance and scalability.
  • Diagnose and optimize system bottlenecks to ensure high availability and low-latency across large-scale workloads.
  • Leverage AWS, Kubernetes, and Terraform to build and deploy production-grade systems.
  • Collaborate with ML researchers and scientists to integrate data pipelines and infrastructure into scientific workflows.

Requirements

  • 5-8+ years of engineering experience building and deploying large-scale backend systems.
  • Hands-on experience with AWS, Kubernetes, containerization, and CI/CD (GitHub Actions).
  • Proficiency with Python and web frameworks/ORMs such as FastAPI, Django, and SQLAlchemy.
  • Experience with orchestration tools like Airflow, Prefect, Temporal, or Dagster.
  • Full-stack development experience with React, TypeScript, and Pydantic.
  • Must use AI coding assistants to drive productivity.

Nice to have

  • Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch).
  • Domain background in life sciences, material sciences, or laboratory software.
  • Experience with laboratory devices, robotics, or hardware.

Culture & Benefits

  • Competitive base compensation with bonus potential.
  • Generous early-stage equity.
  • Comprehensive U.S. and International benefits packages.
  • Fast-paced startup environment driven by truth, trust, curiosity, grit, and velocity.

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