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3 дня назад

Senior Software Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
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): Leading the development and deployment of secure, scalable machine learning systems and infrastructure for national security, AI safety, and other high-stakes client missions with an accent on LLM applications, cloud architecture, and production-grade ML operations. Focus on architecting AI systems, evaluating frontier models, implementing cybersecurity and deployment standards, and mentoring engineers.

Location: London, United Kingdom

Company

hirify.global develops and deploys responsible AI solutions for government, finance, retail, energy, life sciences, defence, and frontier technology organisations.

What you will do

  • Lead technical scoping and architectural decisions for high-impact machine learning systems and frontier AI model capability testing.
  • Design, build, and deploy production-grade ML software, tools, and scalable infrastructure.
  • Define engineering standards and best practices for deploying machine learning systems at scale.
  • Collaborate with engineers, data scientists, product managers, commercial teams, clients, partners, and frontier labs.
  • Advise customers on complex technical concepts and translate them into actionable strategies.
  • Mentor junior engineers and contribute to the engineering culture and technical direction.

Requirements

  • Significant experience building and deploying secure, scalable LLM applications, including multi-agent harness tooling and AI safety evaluation procedures.
  • Strong understanding of the full machine learning lifecycle and experience operationalising models with TensorFlow or PyTorch.
  • Deep software engineering expertise and strong Python skills.
  • Hands-on experience with AWS, Azure, or GCP, including cloud architecture, infrastructure management, and end-to-end cybersecurity.
  • Extensive experience with Docker and Kubernetes for building and managing applications at scale.
  • Strong communication skills, ownership, autonomy, and experience guiding technical teams and senior non-technical stakeholders.

Culture & Benefits

  • Work on high-stakes AI safety and national security missions focused on secure, trustworthy, and responsible AI.
  • Collaborate with government organisations, major technology companies, and frontier AI labs.
  • Join a diverse, intellectually curious team focused on measurable positive impact.
  • Part-time hours may be discussed.
  • AI tools may be used for research and interview preparation, but not to generate answers during live interviews.

Hiring process

  • Talent Team screen: 30 minutes.
  • Pair programming interview: 90 minutes.
  • System design interview: 90 minutes.
  • Commercial interview: 60 minutes.

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