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2 дня назад

Graduate Software Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Graduate Software Engineer (AI) (Golang/Python/Computer Vision): Building cloud-native video intelligence systems that ingest and process video and sensor data, deliver natural-language search and real-time detections, and connect ML pipelines with edge devices with an accent on multimodal LLMs, computer vision, and scalable backend services. Focus on designing distributed real-time systems, developing high-availability APIs and infrastructure, and shipping AI-assisted features to production.

Location: Sunnyvale, United States; on-site

Company

hirify.global develops a cloud-native video security platform using computer vision and AI to improve safety, operational awareness, and decision-making.

What you will do

  • Build services that ingest, process, and serve video and sensor data at scale.
  • Develop natural-language video search, real-time detections, and agentic workflows using multimodal LLMs and computer vision.
  • Work on backend services in Golang and Python.
  • Build user-facing frontends with TypeScript and React in collaboration with product.
  • Develop APIs and systems connecting ML pipelines with an edge device fleet.
  • Contribute to Kubernetes, AWS, Pulumi, distributed systems, real-time processing, and high-availability architecture.

Requirements

  • Bachelor’s degree in Computer Science or a related field.
  • Solid programming fundamentals in at least one modern programming language and willingness to learn others.
  • Evidence of building software beyond coursework, such as side projects, internships, open-source work, hackathons, or personal applications.
  • Genuine curiosity about AI and its future development.
  • Resilience and adaptability in a fast-paced environment where solutions are not always known in advance.

Culture & Benefits

  • On-site work alongside engineers who designed the systems being developed.
  • Production code contributions begin during the first weeks.
  • Code reviews and increasing ownership as experience grows.
  • Daily use of AI-assisted development tools across the engineering team.
  • Fast-moving environment focused on clarity, craftsmanship, and meaningful impact.

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