Developer (Production Engineering and AI Platform)

Developer (Production Engineering and AI Platform) About Elumai Elumai is a precision learning and AI tutoring platform. It builds a model of how each learner thinks and adapts every interaction to match. We are built in Canada and work with workforce and trades programs, enterprise learning teams and post-secondary institutions. We are a small team preparing for launch with our first pilot partners, and we work without layers of management. Purpose Help take Elumai from pilot to production. Keep the platform fast, stable and reliable for learners, many of them in locations with limited internet. Grow into a long-term technical partner across future contracts and builds: new courses, new clients, and scaling our capacity for serving learners. Responsibilities First priorities Uptime and resilience. Prevent and recover from outages: cloud services, GPU servers, deploys Monitoring, alerting, health checks after deploys, safe rollbacks. Speed Find and fix the causes of slow responses: page loads, API latency, AI response time. Make the platform work well on low-bandwidth, high-latency connections. Web app quality Stability, performance and polish of the learner interface on desktop and mobile, including accessibility. Release discipline Automated tests, staged rollouts, and checking real behaviour before and after each release. Longer-term responsibilities Course creation pipeline. Learn our curriculum ingestion pipeline, which turns source documents (curricula, microcredentials, exam materials) into structured course content. Content validation. Check that structured content is retrieved correctly, served by the AI tutor, and displayed properly in the frontend. Structured data. Design and validate structured JSON flowing between AI models, backend services and the UI, much of it generated on demand. New builds. Support new courses, clients and features; take on parts of the technical lead's workload. Experience Must-have skills Google Cloud in production: Cloud Run, Cloud Build / CI-CD, Cloud SQL (PostgreSQL), Compute Engine, logging and monitoring, Secret Manager. Backend: Python (FastAPI or similar), async services, REST/streaming APIs. Frontend: TypeScript/React (Next.js), with an eye for UI/UX, responsive design and performance. Reliability and performance: profiling and diagnosing latency end to end (browser to CDN to server to database to model). Structured data: JSON schemas, validation, data pipelines. Testing: pytest, browser automation (e.g., Playwright), regression testing. Strongly preferred AI in production: serving LLMs (e.g., vLLM on GPUs), RAG/retrieval (pgvector, embeddings), and evaluating AI output quality. CDN/edge experience (Cloudflare) Working effectively with AI coding assistants as part of the daily workflow. Experience in instructional design, teaching or education Nice to haves Ed-tech or learning-platform experience; LMS integrations. Familiarity with privacy and data-sovereignty principles Experience building for low-connectivity regions. How we work A small team with a lot of ownership: comfortable diagnosing problems across the whole stack, not just one layer. Evidence-driven: measure, reproduce, fix, verify. Employment details Employment type: 6 month contract until March 31st, 2027 Hours: 20-30 hrs/week Compensation: $70–$100 per hour Location: Remote, Must be able to work Eastern Standard Time Zone hours. Candidates must be based in Canada. Start date: Mid-November