AI Engineer Internship

Role overview

Responsibilities

• check_circle Research AI opportunities: Provide thorough insight into the latest AI trends, emerging models and frames that the innovation team could test and implement to improve performance of AI systems.
• check_circle Prototyping: Assist in designing and prototyping AI-driven tools to improve newsroom efficiency and digital product innovation.
• check_circle Prompt & Context Engineering: Explore ways to optimise the prompt and context that is passed to AI Agents for production grade systems.
• check_circle Building AI Agents: Help develop and test automation tools that use agentic and LLM workflows to streamline repetitive tasks and accelerate business performance.
• check_circle Cross-Functional Collaboration: Work alongside editorial, product, and technology teams to identify new AI opportunities.
• check_circle Test & Learn: Contribute to a culture of rapid experimentation and iterative improvement.

Basic qualifications

• Technical Foundation: A background in AI/ML engineering, data science, or a related academic field.
• Core Knowledge: Understanding of LLMs, NLP concepts and AI frameworks (e.g. Pydantic AI, Langchain, LlamaIndex)
• Programming Skills: Proficiency in Python and experience working with APIs.
• Agentic IDE Experience: Ability to assist in code development using agentic IDEs and MCP servers alongside them.
• Cloud Awareness: Familiarity with cloud services (e.g AWS, Azure, or GCP) is a plus.
• Problem-Solving: The ability to understand business needs and translate them into AI solutions.
• Passion: A genuine interest in emerging technologies and driving change within the news industry.

About the company