Requirements

• Currently enrolled in a Bachelor's or Master's degree in Computer Science or a related technical field in the EMEA region.
• Relevant internship or practical experience with software development using Python or a similar coding languages.
• Relevant internship or practical experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).
• Relevant internship or practical experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.

Nice to Haves

• Currently enrolled in your penultimate/final year of education.
• Relevant internship or practical experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
• Relevant internship or practical experience leading technical discovery sessions.
• Relevant practical or internship experience with backend system development and modern coding environments (e.g., Go, Rust, Java, or ML pipelines in Python).
• Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
• Ability to complete a 13-17 week full-time internship in the UK starting in either May, June or July 2027.

What You'll Be Doing

• Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable ROI.
• Architect and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
• Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
• Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
• Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

Perks and Benefits

• Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
• Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of various factors.
• If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
• Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
• To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias.
• Equity is granted exclusively and discretionarily by Alphabet Inc.