Applied AI Specialist - AI Solutions

About the role

We're looking for a detail-oriented, collaborative, and growth-minded professional to join our team as Applied AI Specialist - AI Solutions. In this role, you will maintain and deploy AI-powered applications that translate machine learning models and algorithms into scalable, user-facing products. This role independently owns small AI-driven features or services, including model integration, inference APIs, and intelligent workflows from experimentation through production deployment. We value candidates who actively experiment with modern AI tooling and stay current with advancements in agentic systems, orchestration frameworks, and applied ML. Although this role centers on AI application development, team members are expected to be versatile. learning broader AI engineering practices and contributing to emerging agent-based or data-centric initiatives as business needs evolve.

Responsibilities

• Design and implement end-to-end AI features integrating machine learning models, algorithms, and inference services into production applications whilst collaborating with technology stakeholders.
• Develop APIs and backend services using Node.js and/or Python (FastAPI/Flask) to operationalize trained models.
• Translate experimental ML outputs into stable, user-facing functionality whilst adhering to Technology stakeholder requirements.
• Implement deployment patterns for ML models using containerization and CI/CD workflows.
• Integrate services built with TensorFlow, PyTorch, or scikit-learn models into scalable application layers.
• Develop and optimize AI-driven workflows including retrieval-augmented generation (RAG), vector search, and agentic tool execution frameworks.
• Build responsive interfaces using React/Next.js and TypeScript to support AI features.
• Design UI states that communicate model progress, confidence indicators, and safe failure modes.
• Independently own small AI features from design through release.
• Participate in code reviews, write automated tests, and maintain documentation.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience).
• 1-3 years of hands-on experience (including internships/co-ops) building software systems that integrate machine learning models or AI services.
• Demonstrated experience with model experimentation, training support, and deployment to production environments.
• Proficiency in TypeScript, React/Next.js, Node.js, and/or Python.
• Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Familiarity with orchestration libraries such as LangChain/LangGraph, Strands open AI Agents SDK/Swarm.
• Exposure to containerization (Docker) and cloud environments (AWS/Azure/GCP).
• Familiarity with vector databases and AI observability tooling.
• Strong product sense and user empathy with a bias toward shipping.
• Detail-oriented, collaborative, and growth-minded.
• Comfortable learning new domains (including foundational agentic AI concepts) with mentorship and clear scope.
• Location: Toronto

Benefits

Additional Information

Get started on an exciting career at Element! Element employees make a difference in the lives of others every day. We are re-defining the fleet management industry to be people first, then business - delivering on our promise of a superior client experience. This takes hard work and innovation, and we need more like-minded people on our team.

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