AI Builder Intern supporting Global Customer Services by designing, developing, and deploying AI prototypes (LLMs, RAG) to automate workflows, integrate via APIs, and structure post-sales data. Requires CS/related degree pursuit, basic programming, AI experience, and strong communication skills.
Salary not listed
On-siteEntry levelML Engineering
About the role
Responsibilities
Design, develop, and deploy AI-driven prototypes (using LLMs, RAG architectures, or predictive modeling) to automate manual workflows within the GCS ecosystem. Build out models to help automate future forecasting and resource planning.
Work with APIs to integrate AI capabilities into our existing tech stack to provide real-time solutions.
Partner with our engineering to identify, clean, and structure high-volume post-sales data for model training and fine-tuning.
Refine and optimize system prompts and model parameters to ensure high-quality, hallucination-free outputs for internal advisory tools.
Act as the technical translator, taking high-level optimization ideas from GCS leadership and turning them into technical requirements and minimum viable products (MVPs).
Contribute to internal knowledge bases and documentation to improve team efficiency and consistency. Create collateral to enable the team.
Partner with GCS to join select customer-facing sessions, capturing "voice of the customer" insights to ensure our AI roadmap directly addresses the challenges our customers face.
Requirements
Available for a full-time, 12-week internship, working from our London office 3-5 days a week during the fall (Sept-Dec).
Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Business or a related technical field.
Basic experience with programming or scripting (e.g., JavaScript, Python, or similar).
Experience building AI Agents and / or other applications leveraging AI.
Experience connecting disparate systems via REST APIs.
Familiarity with web development concepts, APIs, RAG, Git or developer platforms.
Strong problem-solving and analytical skills.
Ability to learn quickly in a fast-paced technical environment.
Strong communication and collaboration skills to explain complex technical AI concepts to non-technical stakeholders.
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