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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. .
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Most developer ads you'll see are written in English: 18,397 of the 24,795. That doesn't tell you whether the job itself requires you to speak English or work in English daily, so read each posting carefully. Don't assume the language of the ad matches the language of the team.
The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.