01Overview
We are building software that sits at the intersection of AI and regulated industries.
You will work on the core platform: integrations, data pipelines, and the backend logic that makes our product reliable, secure and scalable.
What You Will Build
Core backend components in Python: clean, testable, production-grade code with proper error handling
LLM integrations across multiple providers
Data handling and privacy logic: this is safety-critical and needs to be right
Audit and logging infrastructure: robust, reliable, and built to stay that way
API connectors and webhooks for third-party platforms our clients use
Internal tooling for usage analytics and reporting
What We Need From You
Robust Python: you know why you are making the choices you make, not just how
Hands-on LLM API experience: prompt engineering, function calling, structured outputs, token management
Genuine understanding of data privacy in software systems: GDPR-aware, not just checkbox-compliant
Experience with async architecture and queue-based workflows
The ability to read a functional spec, ask the right questions before you start, and deliver what was agreed
Comfort working in a regulated industry context where data handling is not a side consideration
GOOD TO HAVE
Experience with document processing pipelines
Familiarity with RAG architectures and vector stores
Prior work in security-conscious or compliance-driven engineering environments
Familiarity with the legal technology landscape TO APPLY
Send your CV and a covering note to . Include a brief description of the most complex pipeline or integration you have built and what made it hard. .
