Engineer at Doowii

Doowii is building an “AI operating layer” for education analytics: connect your institution’s systems (SIS/LMS/CRM), and non-technical teams can ask questions, explore, and take action with integrated workflows and highly customized data ontology. We’re hiring SWEs to ship AI-first product experiences and infrastructure. Roles: - Senior Software Engineer (AI Product / Backend) - Software Engineer (Full-stack, AI) - Implementation Engineers (FDE or CXE) What you’ll build: - LLM-backed app features: multi-step query/reasoning flows, conversational UX, follow-ups, citations, and “show your work” - Evaluation + reliability: offline eval sets, regression testing for prompts/tools, quality metrics, guardrails, and latency work - Agentic workflows: tool-calling, retrieval over structured sources, workflows that can debug/repair queries and guide users to the right next step - App/platform foundations as needed: APIs, auth/RBAC, job orchestration, observability, and cost controls Stack (approx): Python, TypeScript, modern web app stack, LLM tool-calling/RAG patterns, GCP. You might be a fit if: - You’ve shipped real product features (backend + app), and care about UX + correctness - You have experience building LLM-enabled systems (or you’ve built strong distributed/backend systems and want to go deep on applied AI) Comp: competitive salary + meaningful equity (seed-stage) Email: [email protected] Include: resume/LinkedIn

Tech Stack