Requirements

• Penultimate-year student, or final-year student planning to pursue a one-year master’s course.
• Permanent right to work in the UK; student visa holders are not eligible.
• Availability for full-time work during the 12-week internship from June to early September in Manchester.
• Keen interest in AI technologies with previous experience building AI agents and automated workflows.

Nice to haves

• Currently enrolled in a degree program in Artificial Intelligence, Computer Science, Engineering, or a related field.
• Proficiency in Python, with projects, open source contributions, or hackathon experience beyond coursework.
• Hands-on experience building LLM-powered or agentic systems that perform multi-step work and have been used by others.
• Familiarity with agentic patterns such as grounding and retrieval, tool use, orchestration, memory, or conversational interfaces.
• Sound engineering judgment including checking AI-generated work, understanding failure modes, and knowing when to use automation versus human review.
• Strong foundation in computer science fundamentals like data structures, algorithms, operating systems, or networking concepts.
• Strong problem-solving and technical communication skills, with the ability to break down ambiguous problems and deliver incrementally.
• Proactive mindset with a passion for continuous learning and rapid iteration.

What you'll be doing

• Own a well-defined project contributing to your team’s success from problem definition through delivery.
• Build and test AI agents, copilots, and automated workflows that perform meaningful multi-step tasks.
• Connect agents to trusted data, services, and internal tools using retrieval, tool calling, orchestration, and define agent autonomy versus human handoff.
• Evaluate your work by measuring task success, reliability, failure modes, and iteratively improve based on real feedback.
• Use AI coding tools daily to enhance productivity, ensuring quality through testing, code reviews, and personal judgment.
• Write clean, well-tested, documented code, and collaborate closely with engineers, mentors, and cross-functional partners.

Perks and benefits

• Paid 12-week internship.
• Hybrid working model with in-office presence Monday through Thursday and flexible remote work Fridays.
• Comprehensive benefits including global mental health and financial wellness support.
• Local benefits may include healthcare (medical, dental, vision), life, accident, disability insurance, commuter, and retirement options.
• Support for time off in accordance with local leave policies and personal needs.
• Inclusive and collaborative work environment valuing diversity and accommodations for all applicants.