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Open nowPosted 20 hours ago

Senior AI Engineer

NovoEd, Inc.3 open roles

Where
Remote - Canada
Work mode
Remote
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Your applicationOpen nowSenior AI EngineerNovoEd, Inc. · Remote - Canada

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Share of postings closed within
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  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: posted 20 hours ago

The posting

About Us

We’re a fast-growing product company integrating cutting-edge AI capabilities into our core offering to stay competitive and deliver exceptional value to customers. Our AI work spans task-specific ML models, large language model (LLM) integration, and agentic systems that orchestrate multiple tools to produce end-user results.

We run a Python-based backend (FastAPI + Gunicorn + Nginx) with heavy background job processing using Celery. We’re looking for a senior-level AI Engineer who is equally strong in backend engineering and applied AI — capable of building production-grade systems that are fast, reliable, and maintainable.

What You’ll Do

  • 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.

Must-Have Skills & Experience

  • 3–5+ years professional backend engineering experience in Python, FastAPI or Flask, and background processing.
  • Masters Degree in related field
  • 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

Who Will Succeed in This Role

  • 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.

Why Join Us

  • 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.
  • Benefits Package, with time off and Holiday pay

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.

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