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.
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)
Doowii | Full Stack Engineer | Remote (US) | Full-Time
Doowii is on a mission to empower educators with AI-driven data analytics solutions that enhance educational outcomes. We’re a rapidly growing EdTech startup that recently closed a $4.1M fundraising round backed by GSV Ventures, Better VC, Avesta Fund, and more (press release: http://bit.ly/3Rfodmt)
What We Do:
-Provide AI-driven data analytics solutions for schools/universities, essentially serving as an AI data scientist for educators.
-Seamlessly integrate advanced data analytics into major EdTech platforms through partnerships.
About the Role: We’re looking for a Full Stack Engineer who is passionate about making a difference in education. You'll work on developing and maintaining scalable web applications using a modern techstack. Your role will involve collaborating with other engineers to design and implement new features, optimizing our applications for genAI accuracy, speed, and scalability, and contributing to a high standard of code quality. Needs to have the startup hustle mindset.
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