GenAI Forward-Deployed Engineer Intern

Google LLC; Greater London; On-site; GBP 16,000 - 20,000; Full time

Job summary

Google LLC is seeking an early-career Forward Deployed Engineering Intern to work as an embedded builder across Google Cloud consulting projects in the UK. You will code, debug, and ship agentic AI solutions directly within customer environments, contributing to production-grade deployments and data readiness challenges.

You will collaborate with engineering minds and practice state-management techniques, aiming to inform product roadmaps while delivering tangible enterprise outcomes.

Qualifications

• 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 language.
• Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (GCP).

Responsibilities

• Serve as a developer for complex AI applications, moving from rapid prototypes to production-grade agentic workflows.
• Architect and code the connective tissue between Google's AI products and customer live infrastructure.
• Build high-performance evaluation pipelines and observability frameworks for accuracy, safety, and latency.
• Identify repeatable field patterns and friction points, turning them into reusable modules or feature requests.
• Co-build with customer engineering teams to promote Google-grade development practices and long-term success.

Skills

Python

Go

Rust

Java

ML pipelines in Python

Backend systems

GCP experience

Education

Bachelor's or Master's in Computer Science

Tools

LangGraph

CrewAI

ADK

Job description

Google LLC is seeking an early-career Forward Deployed Engineering Intern to work as an embedded builder across Google Cloud consulting projects in the UK. You will code, debug, and ship agentic AI solutions directly within customer environments, contributing to production-grade deployments and data readiness challenges.

You will collaborate with engineering minds and practice state-management techniques, aiming to inform product roadmaps while delivering tangible enterprise outcomes.