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Added 4 mins ago
Senior Data Engineer - Vancouver
Capgemini
Vancouver, BC
Perform root cause analysis to identify permanent resolutions to software or business process issues
Added 4 mins ago
Senior Data Engineer
Capgemini
Vancouver, BC
Perform root cause analysis to identify permanent resolutions to software or business process issues"
Added 4 mins ago
Senior Electrical Engineer Power Electronics
Leonardo DRS, Inc.
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Reporting to the Manager, Hardware Engineering, the Senior Hardware Engineer (Power Electronics) will contribute to the design, development, integration, and verification of…
Added 18 mins ago
Member of Technical Staff (Migrations)
Cockroach Labs
Toronto, ON
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Added 18 mins ago
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Senior Associate Geotechnical Engineer
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Guelph, ON · Oakville, ON · CAN-ON-Oakville-Upper Middle Rd
- Full-time
As the Senior Associate Geotechnical Engineer, you will be reporting to the Service Line VP.
Added 19 mins ago
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Senior Software Engineer C# .NET
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- Full-time
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Added 49 mins ago
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Senior Analytics Engineer
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Vancouver, BC
- $170,000 to $195,000 CAD / year
- Full-time
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Added 49 mins ago
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Senior AI Platform Engineer
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Added 49 mins ago
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Land Development Design Technologist
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Added 49 mins ago
Full Stack Developer - Entry Level
Scotiabank
Toronto, ON
…experience. The team is searching for a client-focused full stack engineer who is motivated to contribute to the development of components of enterprise applications and providing hands-on…
Added 1 hour ago
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Process Engineering lll (Packaging)
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Provide technical process engineering expertise to support Manufacturing, Packaging and Maintenance departments.
Added 1 hour ago
Software Development Manager, S3 Index
Amazon
Vancouver, BC
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Added 1 hour ago
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Senior Cloud Platform Lead, Senior Manager
PwC
Ottawa, ON · Toronto, ON
- Full-time
We are seeking a highly experienced Senior Cloud Platform Developer to join our team. The ideal candidate will have extensive experience with Kubernetes and managed cloud-based Kubernetes…
Added 1 hour ago
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Rail Maintenance Facility Director – Engineering Services
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Toronto, ON
- Full-time
…Metrolinx capital transit expansion portfolio. Serve as the senior technical authority for multidisciplinary rail maintenance facility engineering reviews and stage-gate validations,…
Added 1 hour ago
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Senior Java Developer, TD Securities
TD
Toronto, ON
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Added 1 hour ago
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Vancouver, BC
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Added 1 hour ago
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Project Manager, Ports & Marine
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Vancouver, BC
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Ability to maintain the big picture throughout the design and pre-construction process, taking responsibility for meeting client expectations in a dynamic environment.
Added 1 hour ago
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Performance Test Engineer Intern (May 2027 12 Months)
SOTI
Mississauga, ON
- Full-time
Job Title: Performance Test Engineer (Intern)
Added 1 hour ago
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Engineering Manager
Ultra Maritime
Dartmouth, NS
- Full-time
· Understands and applies systems/support engineering methods and process, and understands the technology that is the basis for the sonar system.
Added 1 hour ago
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Engineer - Ground Control
Vale Base Metals
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- Full-time
We are currently seeking an Engineer, Geomechanics to join the Vale Base Metals CTO Geotechnical Office’s Geomechanics Studies team based in Sudbury, Ontario, Canada. This is a permanent…
Added 1 hour ago
CC
Technical Program Engineer
Carlson Construction Group
North Vancouver, BC
- $120,000 to $130,000 CAD / year
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Technical Program Engineer - North Vancouver, BC
Added 1 hour ago
S
Water/Wastewater Engineer
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Calgary, AB
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We are looking for a talented intermediate process mechanical engineer focused on the planning and engineering design of municipal and industrial water/wastewater conveyance projects who…
Added 2 hours ago
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VP, Stations and Rail Systems Delivery
AECOM
Mississauga, ON
- Full-time
Ideally 20+ years of progressively senior infrastructure delivery experience, including at least four years in a leadership role.
Added 2 hours ago
Analytics Manager, AWS Analytics Engineering
Amazon
Vancouver, BC
AWS is looking for a Sr. Business Intelligence Engineer to join the AWS Analytics Engineering (AAE) team supporting AWS Storage services, including Amazon S3, S3 Glacier storage classes,…
Added 2 hours ago
TO
Senior Contract Analyst
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Calgary, AB
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Tundra is excited to announce an opportunity for a Senior Contracts Analyst based out of our Calgary office.

Element Fleet Management

Forward Deployed Engineer (FDE) Intern (8-12 month intern)

Toronto, ON, Canada

The hiring base salary for this position is $54,400 - $74,800 annually. · Full-time

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Job details

Pay: The hiring base salary for this position is $54,400 - $74,800 annually.
Job type: Full-time
Apply by: Nov 20, 2026
Posting language: English
Posted: Nov 5, 2026

Original 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 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.

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More about this job

Responsibilities

You will build and deploy AI agents, tools, and intelligent workflows on the company's enterprise AI platform while collaborating with senior engineers. Additionally, you will participate in discovery sessions with business teams to translate needs into technical designs and support pilot rollouts.

Requirements

Candidates must be pursuing a bachelor's or master's degree in Computer Science, Engineering, Data Science, or a related field. You should have hands-on experience with AI/ML projects, proficiency in Python or TypeScript, and familiarity with cloud environments and LLM application patterns.

Skills

Python
TypeScript
AI agents
Retrieval-augmented generation
LLM
Machine learning
REST APIs
GraphQL
Git
AWS
Docker
LangChain
LangGraph
Prompt design
Data science
Software engineering

Benefits

Health insurance
Tuition reimbursement
Retirement savings plans
Paid time-off programs
Vacation
Sick leave
Holidays

Visa sponsorship

Not detected in the job text

Keywords

Forward Deployed Engineer
AI Platform
Agentic AI
Python
TypeScript
RAG
LLM
AWS
Bedrock
Lambda
DynamoDB
Docker
LangChain
LangGraph
REST API
GraphQL
Git
Fleet management
Software development
Data science
Machine learning
Vector databases
React
Next.js
Observability
Tracing
Automation
Technical documentation
Enterprise AI
Workflow optimization

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