Job Description
AI Engineer (Infrastructure)
We’re a naan traditional company…
Job Summary:
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.
What FGF Offers:
- FGF believes in Home Grown Talent, accelerated career growth with leadership training. Unleashing Your Potential
- Competitive Compensation, Health Benefits, & a generous flexible medical / Health spending account
- RRSP matching program
- Tuition reimbursement
- Discount program that covers almost everything under the sun - Restaurants, gyms, shopping etc.
Key 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.
Required Skills and Qualifications:
- 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).
What is the recipe for a great career at FGF?Working at FGF Brands, there is never a dull moment! As a successful company that is continually growing there is always challenging yet rewarding work to be a part of. We have an entrepreneurial spirit which encourages all our team members to use their own creativity and out of the box thinking to come up with solutions and new ideas.
In compliance with Ontario’s Bill 190, we confirm that this posting represents a current, existing vacancy within our organization.
Disclaimer: The above describes the general responsibilities, required knowledge and skills. Please keep in mind that other duties may be added or this description may be amended at any time.
