Senior AI Engineer — Production ML & Backend (Hybrid)

Simfluent; Toronto; Hybride; CAD 120 000 - 160 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Toronto office

Health, dental, vision insurance

Learning & development resources

Résumé du poste

ShyftLabs is seeking a Senior AI Engineer to design, build, and deploy AI-powered features within production systems. You’ll work closely with Product, Architecture, and cross‑functional engineering teams to deliver AI capabilities across data‑driven platforms and scalable backend infrastructure.

The role combines hands‑on AI/ML engineering with backend API and event‑driven service design, requiring strong Python, Node.js, and cloud experience.

Qualifications

• 5+ years of experience building scalable, production‑grade software systems
• 2+ years of hands‑on AI/ML engineering experience, including deploying models into production environments
• Bachelor’s degree in Computer Science, Data Science, AI, or a related field
• Strong expertise in Python with TensorFlow, PyTorch, or Scikit‑learn
• Solid backend engineering background, API development, microservices, distributed systems, and event‑driven architectures
• Experience integrating LLM APIs and building AI‑driven features into web or platform applications
• Strong proficiency in JavaScript/TypeScript and Node.js, with exposure to GraphQL
• Deep experience building and consuming RESTful APIs and distributed services
• Proficiency with SQL and hands‑on experience with cloud platforms (GCP or AWS)
• Familiarity with MLOps best practices and tools for model monitoring, versioning, and deployment
• Strong understanding of software design patterns, system architecture, and data flow design
• Excellent communication skills and experience in Agile/Kanban with full SDLC

Responsabilités

• Architect and implement AI‑powered features end‑to‑end, from model integration to deployment and monitoring
• Integrate LLM APIs, ML models, and intelligent automation pipelines into scalable backend systems
• Fine‑tune and optimize models for performance, reliability, and cost efficiency in live environments
• Design and build robust APIs, event‑driven services, and third‑party integrations for AI workflows
• Collaborate with Product to translate business requirements into technical AI solutions
• Build and maintain data pipelines and MLOps workflows supporting model deployment
• Contribute to system architecture decisions, integration patterns, and reusable AI frameworks
• Partner with data scientists and engineers for smooth model deployments
• Produce technical documentation, architecture diagrams, data flows, API specs, and AI patterns
• Lead code reviews, enforce code quality and testing, mentor engineers
• Troubleshoot complex production issues across distributed and AI‑integrated systems
• Stay ahead of industry trends in AI/ML tooling and practices

Description du poste

ShyftLabs is seeking a Senior AI Engineer to design, build, and deploy AI-powered features within production systems. You’ll work closely with Product, Architecture, and cross‑functional engineering teams to deliver AI capabilities across data‑driven platforms and scalable backend infrastructure.

The role combines hands‑on AI/ML engineering with backend API and event‑driven service design, requiring strong Python, Node.js, and cloud experience.