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About the Role
As an AI Engineering Intern, you will help build systems that identify mistakes, improve their own behavior, and prove those improvements work. You will work on the agents, models, and infrastructure that turn organic software into something customers can rely on.
Responsibilities
- Help agents learn from their work by shaping the process of updating repository-specific instructions, catching misleading lessons, and testing performance improvements.
- Train and deploy LLM and ML models, fine-tune SoA LLM models, and run experiments to establish production readiness.
- Leverage ML tools such as K-means, t-sne, PCA, and random forest trees to enhance agent capabilities.
- Build agents with end-to-end ownership, handling pre-emptive support, fixes, and customer communication.
- Build evaluations and review tools to define correct answers, create tests for failures, and catch poor output.
- Own projects through delivery, including scoping, building, debugging, and ensuring customer reliance on shipped work.
Requirements
- Currently studying at University of Oxford, or University of Cambridge.
- A silver medal or higher at the International Mathematical Olympiad (IMO) or International Olympiad in Informatics (IOI), or an equivalent level of achievement in another highly competitive endeavor.
- Curiosity to explore unfamiliar areas.
- Willingness to go the extra mile to get things right.
- Discipline to test assumptions.
- Persistence to keep going when the first approach does not work.
- Strong programming ability.
- Something built beyond coursework or tutorials: a model, agent, tool, or application that does useful work.
- A habit of investigating why a system failed and testing whether the fix addresses the cause.
- Clear thinking and the ability to explain decisions, including what was tried and why it didn’t work.
Skills
- AI tooling
- LLM APIs
- agent frameworks
- model fine-tuning
- automated workflows
- K-means
- t-sne
- PCA
- random forest trees
Location
- London
Work Type
- Internship
- Full-time
Experience Level
- Internship
Education Level
- University student
Salary/Compensations
- Compensation above the standard market rate
Benefits
- Ownership from your first day
- Path to shipping work into production
About the Company
- Redefining how software is built, delivered, and operates.
- Building organic software that heals itself, adapts to users and businesses, and learns over time.
- Starting point is finance, with companies like Legora, Lovable, and Fuse Energy already running on Light.
- Platform aims to understand and evolve with each business's operations.
Equal Opportunity
- Light is an equal opportunity employer.