Member of Technical Staff (Applied AI)

The role

You will build RL environments and tasks for AI labs to train and evaluate agents in finance, healthcare, and legal domains. This involves constructing environments around professional workflows and writing verification logic and reward functions.

What you will do

• 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 to translate complex professional workflows into structured tasks
• Prototype new approaches to evaluation, verification, and synthetic data generation

Required qualifications

• Practical experience building with LLMs: prompting, evaluation, and agentic harnesses
• High agency and technically sharp
• Comfortable working across very different contexts
• Ship and iterate
• Own problems end to end
• Already using LLMs as part of how you build

Nice to have

• Domain knowledge in finance, healthcare, or legal
• Familiarity with RL concepts, model training, and post-training workflows
• Cloud infrastructure experience (AWS or GCP)
• Previous startup experience, especially as an early engineer

About the company

aptura is a small, lean, London based team that builds evaluation datasets and RL environments for AI in finance, healthcare, and legal domains.