AI Engineer

About The Role You'll own the model layer that powers our core product: account briefs, call prep, and outbound drafts. The bar is reliability — every output is reviewed by a customer's wholesale desk, so accuracy, traceability, and latency need to clear a high standard. You'll work closely with Tys, the rest of engineering, and customers themselves on a system that has to perform in production, not just in a demo. What you'll do - Design, build, and maintain retrieval and generation pipelines on multi-tenant CRM and market data. - Own the evaluation harness — accuracy, latency, cost — and the workflows that keep it honest. - Work directly with customers to translate domain expertise into model behaviour. - Keep outputs traceable and reviewable, with the right balance of determinism and flexibility. What we're looking for - Three or more years building and shipping production ML or LLM systems. - Experience with retrieval architectures (RAG, hybrid search, re-rankers) on real enterprise data. - Strong fundamentals in evaluation, observability, and data quality. - Comfortable working closely with customers and turning their feedback into changes in the model. Nice to have — Experience in financial services, asset management, or another regulated domain. How to apply Email careers@alphaloops.ai with a CV. No cover letter required. Send a CV with a short note on a system you've built and shipped to production. Apply for this role ↳Get in touch on LinkedIn ↳