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Чётко описанная стажировка в известной продуктовой компании даёт практический опыт с AI-агентами, наставничество и самостоятельный проект, но требования к праву на работу в Великобритании и курсу обучения сильно ограничивают круг подходящих студентов.
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Текст:
Hirify AI/Оригинал
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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