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8 дней назад

AI Engineering Internship Program (Summer 2027)

Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
AI Engineering Internship Program (Summer 2027) (AI/Agentic Engineering): Building production-grade AI agents, copilots, and automated workflows for Roku’s TV streaming platform with an accent on retrieval, tool calling, orchestration, reliability, and human handoff. Focus on designing multi-step agentic systems, evaluating failure modes, validating AI-generated code, and delivering tested software with engineering teams.

Location: Cambridge, United Kingdom; hybrid working with office attendance generally Monday through Thursday and flexible remote work on Fridays.

Paid 12-week internship running from June to early September 2027.

Company

hirify.global operates a TV streaming platform connecting consumers, content publishers, advertisers, and the wider TV ecosystem.

What you will do

  • Own a scoped engineering project from problem definition through delivery.
  • Build and test AI agents, copilots, and automated workflows that perform meaningful multi-step work.
  • Connect agents to trusted data, services, and internal tools using retrieval, tool calling, and orchestration.
  • Define agent autonomy and human handoff criteria, then evaluate reliability, failure modes, and real-world performance.
  • Use AI coding tools while validating their output through testing, review, and engineering judgment.
  • Write clean, tested, documented code and collaborate with engineers, mentors, and cross-functional partners.

Requirements

  • Penultimate-year student, or final-year student planning to continue into a one-year master’s course.
  • Permanent right to work in the UK; candidates on a student visa cannot be considered.
  • Available for full-time work throughout the 12-week program from June to early September in Cambridge.
  • Previous experience building AI agents and automated workflows, with interest in AI technologies.
  • Currently enrolled in Artificial Intelligence, Computer Science, Engineering, or a related degree program.
  • Proficiency in Python, ideally demonstrated through projects, open-source work, or hackathons beyond coursework.
  • Hands-on experience building an LLM-powered or agentic system capable of multi-step work; experience used by others is preferred.
  • Familiarity with grounding, retrieval, tool use, orchestration, memory, or conversational interfaces.
  • Computer science fundamentals including data structures, algorithms, and operating systems or networking concepts, plus strong problem-solving and technical communication skills.
  • Ability to break down ambiguous problems, deliver incrementally, check AI-generated work, and recognise when automation or human review is more appropriate.

Nice to have

  • Experience with agentic engineering tools such as Claude Code, Cursor, MCP servers, custom skills, or agent frameworks.
  • Experience building an LLM-powered or agentic system that has been used by someone other than the applicant.
  • Proactive mindset, passion for continuous learning, and comfort with fast iteration.

Culture & Benefits

  • Fast-paced, collaborative environment focused on problem-solving, pragmatic innovation, ownership, and delivering solutions to customers.
  • AI-assisted development is used for drafts, analysis, repetitive workflows, coding, and productivity, with people retaining direction, judgment, and accountability.
  • Paid 12-week internship with mentorship and meaningful project ownership.
  • Benefits may include healthcare, life, accident, disability, commuter, retirement or pension options, statutory and voluntary benefits, mental health and financial wellness support, and time off under local policies.
  • Hybrid working generally includes office attendance Monday through Thursday and flexible remote work on Fridays, except where a role or office requires five-day attendance.

Hiring process

  • Apply through the hirify.global careers site for job ID 8773.
  • Accommodation requests during the hiring process can be directed to EmployeeRelations@hirify.global.com.

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