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NovoEd, Inc. - Sr. AI Engineer

Remote - Canada - Hybrid2d ago

In Office Senior NA Artificial Intelligence AI Engineer Flask FastAPI Python Reporting Celery Docker Kubernetes Vector Decision Making

Requirements

• 3–5+ years professional backend engineering experience in Python, FastAPI or Flask, and background processing. • Proven record of deploying Python applications to production (not just scripts or academic work). • Strong grasp of software design patterns • Strong understanding of backend performance, parallel processing in background jobs and multi-threading • Proficiency in performance tuning specially for heavy AI models • Applied machine learning experience — training, evaluating, and maintaining small task-specific models. • Familiarity with LLM integration, prompt engineering, and context window optimization. • Proven ability to debug AI behavior, identify root causes, and make targeted fixes. • Strong testing discipline for both backend and AI components. • Experience with background processing with Celery or other major libraries • Experience with monitoring APIs and background processing • Experience with ensuring visibility and error reporting. • Nice to have: experience with Docker, understanding of CI/D, deployment automation and Kubernetes

Responsibilities

• Design, develop, and deploy production-grade AI-powered backend systems. • Integrate LLMs and traditional ML models into performant, scalable architectures. • Integrate and optimize vector databases for retrieval-augmented generation (RAG) pipelines and other traditional ML queries. • Write clean, well-structured, and testable Python code following best practices. • Capable of thinking about performance and ensuring optimal decision making to reduce latency. • Build hybrid architectures that balance LLM calls with traditional ML. • Debug complex, cross-layer issues spanning backend, AI inference, and UI integration. • Conduct thorough dev testing before QA handoff to ensure production reliability. • Collaborate with product, backend, and frontend engineers to deliver cohesive solutions. • Independent problem solver — you can debug without constant supervision. • Production mindset — you understand that reliability, scalability, and maintainability matter as much as accuracy. • System thinker — you see backend, AI, and UI as a connected whole.

Benefits

• Direct impact on the company’s competitive edge. • Small, fast-moving team with high autonomy. • Work on practical, real-world AI applications — not just research. • Opportunity to shape our AI architecture and best practices from the ground up. • If you’re a backend-first AI engineer who thrives in shipping production-ready systems and knows how to make AI practical, fast, and reliable — we’d love to talk.