Applied AI Specialist – AI Solutions

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.

About the Role

Were looking for a detail-oriented collaborative and growth-minded professional to join our team as Applied AI Specialist AI 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.

What Youll Do

• 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 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/ 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.

Basic Qualifications

• Bachelors degree in Computer Science Engineering or related field (or equivalent practical experience).
• 13 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/ 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.

Preferred Qualifications

• 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

The hiring base salary range for this position is $76300 - $104900 annually. Actual compensation within this range will be dependent upon the individuals knowledge skills experience equity with other team members and alignment with market data. Please note that the disclosed salary range is solely for candidates hired to perform work within this geographic location. Candidates hired to work in other locations will be subject to the pay range associated with that location.

Whats in it for You
A culture of innovation empowerment decision-making and accountability
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)

Applicants will be required to undergo a background check only if and after a conditional offer of employment has been extended.

Element Fleet Management and its wholly owned subsidiaries are an equal opportunity employer committed to diversity equity inclusion and belonging. We are pleased to consider all qualified applicants for employment without regard to race color religion genetic information sex gender identity sexual orientation age marital status family status ancestry national origin citizenship physical or mental disability veteran status military obligations or any other characteristic protected by federal state and local laws. Disability-related accommodations during the application and interview process are available upon you require an accommodation with our hiring process please send an email to or call . Element Fleet Management also uses AI-assisted tools to help screen and assess applications. These tools analyze information you provide (for example your rēsumē and screening responses) to identify job-related skills qualifications and experience. AI outputs do not by themselves determine whether you advance or receive an offer they assist recruiters and hiring managers. Final hiring decisions are made by people.