Joining the Core AI sub-team within the AI Engineering Group, you will be at the forefront of building the foundational infrastructure that powers Generative AI across a world-leading quantitative research firm. Your daily work will involve designing and operating platform services using C# and Python, focusing on critical components like vector search, model hosting, and prompt management. You will be responsible for implementing type-safe orchestration workflows and scaling RAG pipelines to handle high-throughput workloads, ensuring that researchers and data scientists can deploy AI solutions with both speed and security. This is a hands-on technical role where you will own services from initial design documentation through to production monitoring. G-Research offers a unique environment where high-performance computing meets cutting-edge finance. Based in the state-of-the-art Soho Place office in Central London, you will be part of a culture that rewards world-beating ideas and provides near-infinite compute power to solve complex problems. The team prioritizes developer experience and platform ergonomics, meaning your work will directly influence how hundreds of elite quants and engineers interact with AI tools. It is a collaborative, intellectually stimulating atmosphere where you are encouraged to push the boundaries of what is possible in distributed systems and LLM orchestration. This internship is designed to provide a deep dive into the production side of artificial intelligence. Beyond just writing code, you will gain experience in benchmarking latency and optimizing costs across on-prem GPU clusters and cloud platforms. For an aspiring engineer, this is an unparalleled opportunity to see how AI is scaled in a high-stakes, real-world environment. Success in this role means contributing to open-source-level infrastructure and helping shape the very foundations of AI development within a premier global technology firm.