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Position Overview
We are seeking an Associate AI Engineer to join our Global Analytics team in London. This role focuses on designing, developing, and deploying AI-powered solutions that deliver real business value. You will work on the end-to-end lifecycle of AI applications, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), conversational AI, and document intelligence solutions.
Working alongside experienced AI engineers and cross-functional teams, you will help build scalable, production-ready AI systems while continuously improving model performance, reliability, and user experience.
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Key Responsibilities
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- Design, develop, and deploy AI and machine learning solutions for business applications.
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, and semantic search.
- Develop AI-powered applications and backend services using Python and modern AI frameworks.
- Optimize model inference for performance, scalability, and reliability, with a focus on low-latency applications.
- Develop and maintain APIs and real-time AI services supporting conversational AI, document processing, and intelligent automation.
- Containerize and deploy AI applications using Docker and support cloud-based deployments.
- Write clean, modular, and maintainable Python code following software engineering best practices, including testing and documentation.
- Collaborate with Business Analysts, Product Managers, and engineering teams to translate business requirements into AI solutions.
- Stay current with advancements in Generative AI, Machine Learning, and MLOps, and contribute to continuous improvement initiatives.
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