Forward Deployed Engineer Intern

Element Fleet Management; Toronto; Hybrid; CAD 54,000 - 75,000; Part time

Job summary

Element Fleet Management invites you to join the AI Platform Engineering team as a Forward Deployed Engineer Intern in Toronto. You will work with senior engineers to design, build, and deploy AI agents, tools, and workflows on Element's enterprise AI platform, gaining hands-on experience from prototype to pilot.

During the internship, you’ll engage in discovery sessions, document workflows, and translate business needs into technical designs while receiving structured mentorship and clear

Qualifications

• Pursuing a bachelor's or master's degree in Computer Science, Engineering, Data Science, or a related field with at least one term remaining or graduating within the internship window.
• Hands-on projects or internships showing software experience with AI/ML services.

Responsibilities

• Build and deploy AI agents, tools, and intelligent workflows on Element's AI platform.
• Collaborate with internal teams to translate business needs into technical designs.
• Participate in demos, pilots, and documentation for guardrails and runbooks.

Skills

Python

TypeScript

REST APIs

GraphQL APIs

JSON

Git workflows

LLM patterns

AWS

Docker

Education

Bachelor's or Master's in CS/Engineering/Data Science

Tools

LangChain/LangGraph

OpenAI Agents SDK

LangGraph

Docker

Job description

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.

Build and deploy practical AI solutions from business problem to working pilot.

THE OPPORTUNITY

The AI Platform Engineering team brings artificial intelligence solutions directly to the business teams it serves. 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. Working alongside senior engineers, you will contribute scoped solutions from prototype through pilot, translate business needs into technical designs, and bring field feedback back to the platform team. You will receive structured mentorship, clearly scoped ownership, and regular feedback while gaining hands‑on exposure to production AI delivery.

WHAT YOU WILL OWN

• 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.

YOU SHOULD CONSIDER THIS ROLE IF:

You are curious, comfortable with ambiguity, and eager to move between coding and collaboration with business users.

• 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.

Preferred experience includes familiarity with LLM evaluation frameworks, AI observability tooling, vector databases, or front‑end development with React/Next.js.

YOU SHOULD BE ABLE TO TELL US

• About an AI or software project you built, including the problem you were solving, the technical approach you chose, and what you learned from the result.
• How you have used Python and/or TypeScript, APIs, or cloud services to connect systems, data, models, or user‑facing functionality.
• How you have tested, evaluated, debugged, or improved an AI‑enabled application or workflow based on observed behaviour or user feedback.
• How you have explained or demonstrated technical work to a non‑technical audience and incorporated their feedback.

WHY ELEMENT

At Element Fleet Management, this internship gives you the opportunity to work on practical AI solutions that connect technology with real business workflows. You will learn alongside senior engineers, contribute to pilots used by internal business teams, and help improve the enterprise AI platform through field feedback and reusable patterns. Element's purpose is to Move the world through intelligent mobility. In this role, you can contribute by helping build safe, useful AI‑enabled processes that reduce friction and manual effort.

LOCATION AND WORKING ARRANGEMENT

• Location: 1 Adelaide St. E., Toronto, ON
• Working arrangement: Hybrid

COMPENSATION

The hiring base salary for this position is $54,400 - $74,800 annually. This range represents the Company's good‑faith estimate of the expected base salary at the time of posting. Salary ranges may vary based on the geographic location where the work is performed. The salary range listed in this posting applies only to the location identified. Actual compensation will be determined based on several factors, including the successful candidate's qualifications, knowledge, skills, experience, internal pay equity, and relevant market data. In addition to base salary, eligible employees may participate in annual incentive programs, including bonuses, commissions, or other incentive compensation, as applicable to the role. Element also offers a comprehensive benefits package, which may include health insurance, tuition reimbursement, and retirement savings plans.

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.

What’s 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 request. Should you require an accommodation with our hiring process please send an email to [e-mail] or call [phone]. 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.