AI Engineer (Infrastructure)

fgf brands • Toronto, ON

2d

About The Position

We are looking for a driven and curious AI Engineer to join our technology team and help shape the future of AI-powered innovation in the food manufacturing industry. In this entry-level role, you will design, build, and deploy intelligent systems — from LLM-based applications and agentic automation pipelines to ML models that optimize production and operations. You will work at the intersection of cutting-edge AI and real-world manufacturing challenges, collaborating with cross-functional teams to deliver solutions that drive efficiency, quality, and competitive advantage. This is a high-impact role for someone who thrives on turning complex problems into scalable, production-grade AI systems.

Requirements

• 1–2 years of hands-on experience in AI/ML engineering, including production deployments of LLM-based or ML-driven systems.
• Strong Python proficiency and familiarity with AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, scikit-learn, and LLM orchestration libraries.
• Demonstrated experience working with large language models (LLMs) — including prompt engineering, fine-tuning, RAG (retrieval-augmented generation), and tool/function calling.
• Experience building agentic systems, multi-step reasoning pipelines, or autonomous AI workflows.
• Solid understanding of ML fundamentals: model selection, feature engineering, evaluation metrics, and avoiding overfitting.
• Familiarity with MLOps practices: model versioning, CI/CD for ML, monitoring, and A/B testing.
• Experience with cloud platforms (Azure or GCP) and containerization tools (Docker, Kubernetes).
• Strong problem-solving mindset with the ability to work independently and manage competing priorities in a fast-paced environment.
• Excellent communication skills — able to present complex AI concepts clearly to both technical and non-technical stakeholders.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field (or equivalent practical experience).

Responsibilities

• Design, develop, and deploy LLM-powered applications and Generative AI solutions tailored to food manufacturing workflows — including quality control, supply chain optimization, and production intelligence.
• Architect and build agentic AI systems and automation pipelines that reason, plan, and act across multi-step tasks with minimal human intervention.
• Develop and fine-tune ML models for predictive analytics, anomaly detection, demand forecasting, and process optimization.
• Evaluate and integrate emerging AI platforms, APIs, and frameworks — including foundation models, vector databases, and orchestration tools (e.g., LangChain, LlamaIndex, CrewAI).
• Build and maintain robust data pipelines and MLOps infrastructure to support model training, evaluation, deployment, and monitoring.
• Collaborate with product, engineering, operations, and domain experts to translate business requirements into scalable AI solutions.
• Conduct rigorous model evaluation, performance benchmarking, and continuous improvement cycles.
• Document architectures, experiments, and outcomes to promote knowledge sharing and reproducibility across the team.
• Stay current with the latest advancements in AI/ML research and apply relevant techniques to real-world challenges.

Benefits

• Competitive Compensation
• Health Benefits
• generous flexible medical / Health spending account
• RRSP matching program
• Tuition reimbursement
• Discount program that covers almost everything under the sun - Restaurants, gyms, shopping etc.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level