Generative AI Engineer at The Economist Group

Setup: Remote, Hybrid
Location: London, England
Type: Full-time
Level: not_specified
Posted: Jul 29, 2026

Description

This is a full-time role at The Economist Group focusing on building and fine-tuning Large Language Model (LLM)-powered systems within their new AI Lab. The role involves developing and evaluating Retrieval-Augmented Generation (RAG) pipelines, prototyping Text-to-Speech (TTS) pipelines, and collaborating with various teams to enhance journalistic engagement using AI. The ideal candidate will have extensive experience with LLM/NLP pipelines, strong Python skills, and a passion for exploring the potential of Generative AI.

Required Skills

LLM Fine-Tuning
Python Programming
Evaluation Metrics

Additional Information

Required Previous Experiences: 3+ years experience building with LLMs or NLP pipelines.
Experience with supervised fine-tuning (SFT), prompt tuning, or instruction tuning on proprietary datasets.
Preferred Qualifications: Experience fine-tuning models for style or persona (e.g. chatbots with specific character voices)
Exposure to LangSmith or similar observability tools for prompt / LLM testing
Knowledge of voice synthesis, cloning, or emotion conditioning in audio pipelines
Previous work in media, journalism, podcasting, or content production contexts
Familiarity with multi-modal generation (text + image + audio), or interest in pushing toward that frontier
Contributions to open-source LLM tools or libraries
An interest in the ethical, editorial, and philosophical questions raised by AI-generated content