Senior AI Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Design, develop, and implement production-grade backend systems powered by AI.

• Incorporate LLMs and traditional ML models into efficient, scalable architectures.

• Optimize and integrate vector databases for retrieval-augmented generation (RAG) pipelines, along with other traditional ML queries.

• Produce clean, well-organized, and testable Python code adhering to industry best practices.

• Focus on performance and make optimal decisions to minimize latency.

• Construct hybrid architectures that effectively balance LLM calls with traditional ML operations.

• Troubleshoot complex, cross-layer issues involving backend systems, AI inference, and UI integration.

• Perform comprehensive development testing prior to QA handoff to guarantee production reliability.

• Collaborate with product, backend, and frontend engineers to provide seamless solutions.

⛳️ Requirements

• 3–5+ years of professional experience in backend engineering using Python, FastAPI or Flask, and background processing.

• Master's Degree in a related field.

• Demonstrated experience in deploying Python applications to production environments.

• Solid understanding of software design patterns.

• Strong knowledge of backend performance, parallel processing in background jobs, and multi-threading.

• Expertise in performance tuning, particularly for high-demand AI models.

• Practical experience in machine learning — including training, evaluating, and maintaining specialized task-specific models.

• Familiarity with LLM integration, prompt engineering, and context window optimization.

• Proven capability to diagnose AI behavior issues, identify root causes, and implement targeted solutions.

• Strong discipline in testing both backend and AI components.

• Experience with background processing using Celery or other prominent libraries.

• Experience in monitoring APIs and background processing tasks.

• Proven experience in ensuring visibility and error reporting in systems.

• Nice to have: experience with Docker, knowledge of CI/CD, deployment automation, and Kubernetes.

🏝️ Benefits

• Comprehensive benefits package, including time off and holiday pay.

• Opportunity to directly influence the company’s competitive advantage.

• Work within a small, agile team that offers high levels of autonomy.

• Chance to shape AI architecture and establish best practices from the foundation up.