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GRV-004ШІ та дослідженняГібрид (Лондон)

ML and AI Engineer

Own the LLM integration, prompt engineering, and evaluation infrastructure of the Drusus AI analyst.

Винагорода: £85,000 to £120,000 base, plus equity

Цей матеріал доступний лише англійською мовою.

Про роль

The AI analyst is the analytical heart of the Drusus platform. The work of this role is principally the work of making a frontier language model behave with the precision and discipline that financial analytical work demands: through system-prompt engineering, evaluation infrastructure that catches failure modes before they reach users, and the verification layer that constrains the model to the verified data context.

Обов'язки

  • Own the system-prompt architecture of the AI analyst chat and the Drusus Daily editorial pipeline.
  • Build and maintain the evaluation infrastructure that monitors model output for accuracy, regulatory compliance, and hallucination.
  • Lead the integration with Anthropic Claude (the Institution tier) and the secondary models used at lower tiers.
  • Stay current with the published research on language-model safety and evaluation; bring relevant techniques into our practice.
  • Collaborate with the editorial team on the human-AI editorial workflow.

Кого ми шукаємо

  • Substantial experience working with large language models at the application layer, whether through Anthropic, OpenAI, or comparable APIs.
  • Demonstrated ability to design system prompts that elicit reliable behaviour from frontier models.
  • Familiarity with the published literature on language-model evaluation (LLM-as-judge, ground-truth datasets, adversarial testing).
  • Strong general programming skills, preferably in TypeScript and Python.

Корисно, але не обов'язково

  • Prior work in a financial or regulated domain.
  • Experience with retrieval-augmented generation and grounded LLM systems.
  • Familiarity with constitutional AI and similar alignment approaches.

Як подати заявку

Будь ласка, напишіть на careers@gravenos.com із зазначенням довідкового коду GRV-004 у темі листа. Долучіть короткий супровідний лист, резюме або порівнянний запис Вашої роботи та будь-які зразки робіт, які Ви вважаєте релевантними. Ми відповімо.