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About the Role
As a Forward Deployed Engineer (FDE) Intern, you will join discovery conversations, learn how operational workflows work, and help design, build, and deploy AI agents, tools, and intelligent workflows on Element's enterprise agentic AI platform. You will receive structured mentorship, clearly scoped ownership, and regular feedback while gaining hands-on exposure to production AI delivery.
Responsibilities
- Build and deploy AI agents, tools, and intelligent workflows on Element's agentic AI platform for scoped business use cases, with guidance from senior engineers.
- Integrate agents with enterprise data sources, internal APIs, and business systems using Python and/or TypeScript within platform governance, security, and permission boundaries.
- Apply retrieval-augmented generation (RAG), tool and function calling, and multi-step orchestration patterns using established platform patterns and templates.
- Join discovery sessions with internal business teams, document workflows and pain points, and help translate needs into use-case specifications, agent designs, and acceptance criteria.
- Support demos and pilot rollouts, gather user feedback, track adoption and outcome metrics, and create lightweight enablement materials such as quick-start guides, demos, and FAQs.
- Write evaluation cases and test datasets, use observability and tracing tools to investigate failures, and contribute to guardrails, fallbacks, error handling, documentation, and runbooks.
Requirements
- You are currently pursuing a bachelor's or master's degree in Computer Science, Engineering, Data Science, or a related field, with at least one term of study remaining or graduating within the internship window.
- You have hands-on experience through academic projects, co-ops, internships, hackathons, or personal projects building software that integrates large language models, machine learning models, or AI services.
- You have working proficiency in Python and/or TypeScript and are comfortable with REST or GraphQL APIs, JSON, and Git-based workflows.
- You have foundational familiarity with LLM application patterns such as prompt design, retrieval-augmented generation (RAG), tool or function calling, and agentic orchestration frameworks such as LangChain/LangGraph, Strands, OpenAI Agents SDK, or similar.
- You have some exposure to cloud environments, preferably AWS services such as Bedrock, Lambda, and DynamoDB, and to containerization with Docker.
- You can ask clear questions of non-technical stakeholders, demo working software, and write clear documentation.
- Applicants must be legally authorized to work in the country where the position is based.
- Element Fleet Management does not provide sponsorship or support for obtaining or maintaining work authorization for this position.
Skills
- Python
- TypeScript
- REST APIs
- GraphQL APIs
- JSON
- Git
- Retrieval-augmented generation (RAG)
- Tool and function calling
- Agentic orchestration
- AWS Bedrock
- AWS Lambda
- AWS DynamoDB
- Docker
- React
- Next.js
Location
- 1 Adelaide St. E., Toronto, ON
Work Type
- Hybrid
Experience Level
- Internship
Education Level
- Bachelor's degree
- Master's degree
Salary/Compensations
- $54,400 - $74,800 annually
Benefits
- Comprehensive health and welfare benefits
- Paid time-off programs (vacation, sick leave, and holidays)
- Tuition reimbursement
- Retirement savings plans
About the Company
- 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.
- Element's purpose is to Move the world through intelligent mobility.
- Element Fleet Management and its wholly owned subsidiaries are an equal opportunity employer committed to diversity, equity, inclusion, and belonging.
Equal Opportunity
- 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 request.
- Should you require an accommodation with our hiring process please send an email to talentacquisition@elementcorp.com or call (800) 665-9744.
- 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.