Applied AI Engineer: RL Environments & Evaluation

Aptura

Greater London

On-site

GBP 90,000 - 130,000

Full time

14 days+

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Job summary

Aptura in London seeks a Member of Technical Staff for Applied AI to build tasks and environments used to evaluate agents in finance, healthcare, and legal domains. You will construct RL environments around real-world spreadsheets, documents, and workflows, write verification logic and reward signals, and collaborate with domain experts to define what constitutes a correct answer for real-world models.

This role blends engineering and research, with ownership of end-to-end ground truth

Qualifications

  • Experience building with LLMs for evaluation and benchmarking.
  • Design tasks with golden answers, rubrics, and programmatic rewards.
  • Proactive, high-agency engineer who thrives in a small team.
  • Translate complex domain workflows into structured tasks for models.

Responsibilities

  • Build RL environments across finance, healthcare, and legal domains
  • Assist in designing tasks with golden answers, calibrated rubrics, and programmatic reward signals
  • Write verification logic and reward functions that can distinguish good model outputs from bad ones
  • Work directly with domain experts (investment analysts, physicians, attorneys) to translate complex professional workflows into structured tasks
  • Prototype new approaches to evaluation, verification, and synthetic data generation

Skills

LLMs prompting
Evaluation design
Agentic harnesses

Tools

AWS
GCP

Job description

Aptura in London seeks a Member of Technical Staff for Applied AI to build tasks and environments used to evaluate agents in finance, healthcare, and legal domains. You will construct RL environments around real-world spreadsheets, documents, and workflows, write verification logic and reward signals, and collaborate with domain experts to define what constitutes a correct answer for real-world models.

This role blends engineering and research, with ownership of end-to-end ground truth

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