Graduate AI Engineer
HybridLondon, England, United Kingdom
Job Summary
Build Generative AI and AI agent solutions for customer operations, internal automation, and lending operations by designing prompts, workflows, and evaluation processes to enhance system reliability. Integrate Large Language Models with internal tools, APIs, databases, and business systems while writing clean, scalable Python code for real production use cases. Collaborate cross-functionally with UK and Shenzhen engineering teams, risk, compliance, and customer operations groups to ship code from week one. Participate in a mentorship program featuring pair programming with senior engineers, bi-annual technical reviews, and career progression planning. See your AI systems go live to directly improve customer operations, risk workflows, and lending decisions for thousands of users.
Required Qualifications
- A recent (or soon-to-be) graduate with a degree in a technical or quantitative field (e.g. Computer Science, AI/Machine Learning, Statistics, Engineering or Mathematics - STEM field)
- Proficiency in Python or similar languages or a good understanding of computer science and eagerness to learn and perform in Python based technologies
- Understanding and genuine interest in Generative AI concepts, including LLMs, embeddings, RAG, prompt engineering, structured outputs, and model limitations
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