Назад
13 дней назад

Software Engineer - Machine Learning (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer - Machine Learning (AI): Building generative AI products, agentic coding workflows, and tools that connect design with production code with an accent on user-facing LLM features, evaluation, and design-to-code collaboration. Focus on developing 0→1 products, curating evaluation sets, using LLMs as judges, and shipping high-quality AI experiences.

Location: London, England, United Kingdom; in-person onboarding is required.

Company

Figma develops a collaborative design platform that helps teams turn ideas into prototypes, code, and shipped products, including AI-powered workflows.

What you will do

  • Build and evolve Dev Mode, MCP tools, and Make for developer and designer collaboration.
  • Develop new 0→1 products in the agentic coding space.
  • Build user-facing generative AI and agentic product features.
  • Collaborate with designers, product managers, engineers, data specialists, and researchers to deliver high-quality products.
  • Mentor peers and contribute to the engineering, product, and design community.

Requirements

  • 3+ years of leading large-scale, high-impact engineering projects.
  • Experience with user-facing LLM and agentic product features.
  • Experience curating evaluation sets and developing LLM-as-judge systems.
  • Strong attention to detail, product quality, and engineering craftsmanship.
  • High-velocity execution with a focus on user impact.

Nice to have

  • Experience driving cross-functional projects with Product, Design, Data, and Research.
  • Experience shipping user-facing features as a full-stack developer.
  • Strong fluency with React and TypeScript.
  • Experience communicating and working across functions to drive solutions.
  • Experience training or fine-tuning LLMs.

Culture & Benefits

  • Mentorship and learning opportunities across engineering, product, and design.
  • A culture focused on continuous growth and skill development.
  • Reasonable accommodations are available throughout the application, interview, and employment process.
  • Video interviews require candidates to keep their cameras on.

Hiring process

  • Video interviews are conducted with cameras on to support a personal connection and hiring-process integrity.
  • In-person onboarding is required after hiring.

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