Applied AI Specialist – AI Solutions

Element Fleet Management • Toronto, ON

1d • CA$76,300 - CA$104,900 • Onsite

About The Position

Element is seeking a detail-oriented, collaborative, and growth-minded Applied AI Specialist – AI Solutions to join their team. This role involves maintaining and deploying AI-powered applications, translating machine learning models and algorithms into scalable, user-facing products. The specialist will independently manage small AI-driven features or services, covering model integration, inference APIs, and intelligent workflows from experimentation to production deployment. The company values candidates who actively experiment with modern AI tooling and stay current with advancements in agentic systems, orchestration frameworks, and applied ML. While the role focuses 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.

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.

Nice To Haves

• 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.

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.

Benefits

• Comprehensive health and welfare benefits that serve the needs of you and your family and foster a culture of wellness (for qualified roles)
• Additional benefits and amenities, including paid time-off programs (vacation, sick leave, and holidays) (for qualified roles)

What This Job Offers

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