Jobs in Canada

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Added 11 hours ago
AS
SCADA Technical Lead (Houston/Calgary)
AVEVA Software LLC
Calgary, AB
- Full-time
Bachelors Degree in Engineering or Computer Science and 5+ years of industry experience.
Added 11 hours ago
AS
Senior Technical Success Consultant
AVEVA Software LLC
Calgary, AB
- Full-time
Bachelor level degree in technical field such as Computer Science, Computer Engineering, Electrical/Electrical Engineering.
Added 11 hours ago
AS
Product Manager
ACCEO Solutions Inc.
Toronto, ON
- Full-time
University Degree in Computer Science, Engineering, Information Science, Business or Commerce
Added 11 hours ago
CI
Vice President of Research & Development
Colossus, Incorporated
Canada
- $125,000 to $135,000 USD / year
- Full-time
Allocate engineering capacity to the products and initiatives with the strongest return, and defend those choices with data.
Added 11 hours ago
IC
Associate Director, Energy Consulting
ICF Consulting Canada, Inc.
Ottawa, ON
- Full-time
Bachelor’s degree in engineering or related field, with demonstrated interest and in sustainability, building energy efficiency, building science, and/or renewables , or related subjects
Added 11 hours ago
EC
Environmental Field Technician (Field Based)
ERM Consultants Canada Ltd.
Calgary, AB
- $63,000 to $71,957 CAD / year
- Part-time
Three to five days per week in the field, generally during daytime hours
Added 11 hours ago
(S
Liaison Scientifique Médicale Oncologie
(0609) sanofi-aventis Canada Inc.
Montréal, QC
- Full-time
…monde entier. Ensemble, nous poursuivons les miracles de la science pour améliorer la vie des…
Added 11 hours ago
RC
Senior Software Development Engineer
Remitly Canada Operations, Inc.
Burnaby, BC
- Full-time
Improve platform primitives for feature gating, configuration, experimentation, and data quality.
Added 11 hours ago
AL
Market Access Manager (12-month contract) - Diabetes Care (British Columbia)
Abbott Laboratories Co.
BC
- $120,000 to $168,000 CAD / year
- Full-time
Abbott is a global healthcare leader, creating breakthrough science to improve people’s health. We’re always looking towards the future, anticipating changes in medical science and…
Added 11 hours ago
SI
Confidential Computing Software Architect
SiFive, Inc.
Canada
- Full-time
…limitless potential of RISC-V to the highest performance and most data-intensive applications in the world. SiFive’s unrivaled compute platforms are continuing to enable leading technology…
Added 11 hours ago
FI
Technical Pre-Sales Consultant
Fair Isaac Canada, Ltd.
ON
- Full-time
A degree in Computer Science, Engineering, or a related field.
Added 11 hours ago
PI
AI Engineer
Patlytics, Inc.
Toronto, ON
- Full-time
- Hybrid
- Lead ongoing R&D of new technologies, data sources and data science & optimization tools
Added 11 hours ago
Scientifique de données - Data Scientist
TobogganLabs
Montréal, QC · Québec, QC
Analyse et préparation des données Explorer les données clients pour identifier les patterns et opportunités. Nettoyer et structurer les données en collaboration avec les ingénieurs data.
Added 11 hours ago
Développeur·euse principal·e (Santé) - Staff Developer (Healthcare)
TobogganLabs
Montréal, QC · Québec, QC
…santé dans nos pratiques de développement de logiciels, de science des données et de conception de…
Added 11 hours ago
Consultant principal / Responsable de l'IA - Principal Consultant / Head of AI
TobogganLabs
Montréal, QC · Québec, QC
Diriger des groupes de travail internes sur les pratiques et les normes de l'IA et de la science des données à déployer dans le cadre de nos projets ; collaborer avec d'autres data…
Added 11 hours ago
UI
Lead Consultant
Util-Assist Inc.
Toronto, ON
- $130,000 to $170,000 CAD / year
- Full-time
- Hybrid
Undergraduate degree/diploma in Computer/Data Science, Business Administration, Engineering or a related technical field
Added 11 hours ago
LS
Engine Programmer | Programmeur moteur
Larian Studios
QC
- On-site
⬝Bachelor's / Master's degree in computer science or software engineering
Added 11 hours ago
Technical Engineering Lead
Point Digital Finance, Inc. Canada
Canada
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Added 11 hours ago
Engineering Manager
Point Digital Finance, Inc. Canada
Canada
Establish success metrics for agent performance and use data to prioritize the roadmap.
Added 11 hours ago
L
Senior Software Engineer - Golang
Litmus
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
- Hybrid
Litmus is building the data foundation that powers industrial AI.
Added 11 hours ago
Forward Deployed Engineer
Levio
Canada
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field
Added 11 hours ago
AI Solution Architect
Levio
Toronto, ON
Design cloud-native AI architectures leveraging modern data, ML, and LLM platforms
Added 11 hours ago
S
Senior Backend Developer
ShyftLabs
Toronto, ON
- Full-time
- Hybrid
-Hybrid Flexibility: Enjoy a hybrid model with three days per week in our Toronto office
Added 11 hours ago
X
Software Development Director
Xsolla
Montréal, QC
- $150,000 to $180,000 CAD / year
- Full-time
- On-site
Familiarity with payments infrastructure, user-facing APIs, or developer tools.
Added 11 hours ago
Senior Data Platform Engineer
Later
Vancouver, BC
…and pipeline maintenance, and it isn't an ML engineering or data science role. You'll build the data foundation that makes AI work, and other teams will build on top of…

Levio

Forward Deployed Engineer

Canada

Apply on job-boards.greenhouse.io About employer

Applications open in a new tab.

Job details

Experience: 6+ years of experience in engineering roles, with 3+ years in GenAI/Agentic Systems positions
Posting language: English
Posted: May 15, 2026

Original job description

Are you looking to thrive in a stimulating work environment? 

Join Levio, a leader in digital transformation, and take your career to the next level. You will work alongside high-caliber professionals on ambitious, large-scale technology projects, directly embedded in our clients’ environments. At Levio, we value expertise, curiosity, and continuous improvement - and we give you the space to grow.

About the Role

We embed engineers directly inside enterprise clients to find, build, and ship AI and agentic systems that reach production and stay there. A Forward Deployed Engineer - FDE runs discovery with the customer's own stakeholders, scopes the use cases worth building, then writes and deploys the working system - in the customer's environment, against their data, under their security and governance constraints.

This is a build-with-the-customer role, not an advisory one. You are the person in the codebase and in the room, closing the gap between an ambiguous "we should use AI" and a governed system operators actually trust and use. You own outcomes through real production usage - you do not hand off a slide deck or a prototype and move on.

Why Join Levio? 

Work on complex, high impact digital transformation projects 
Collaborate with experienced, multidisciplinary teams 
Continuously develop your technical and professional expertise 
Enjoy flexibility, autonomy, and a strong people first culture 
Be part of an organization that values diversity, inclusion, and innovation

Role and Responsibilities 

Run discovery with the customer's business stakeholders and turn open-ended "we should use AI" asks into scoped use cases, ranked by ROI, data readiness, and technical feasibility.
Build and ship production GenAI and agentic systems end to end - retrieval (RAG), agent orchestration and tool/MCP integration, evaluation harnesses, and the surrounding application and data plumbing.
Deploy inside the customer's environment and constraints: their cloud, their security posture, their data governance - not a sandbox you control.
Design for trust - keep business-critical logic (pricing, rules, calculations) in deterministic code paths, build evaluation and human-in-the-loop review, and know when model output is safe to put in front of operators.
Embed and enable: document the system, run walkthroughs, and lift adoption - while owning the system through real production use, not until the demo.
Present architecture, cost, and delivery trade-offs directly to non-technical decision-makers and keep them bought in.

Qualifications and Experience 

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field
6+ years of experience in engineering roles, with 3+ years in GenAI/Agentic Systems positions
Strong communication skills and the ability to explain technical concepts and trade-offs to both technical and non-technical audiences.
Proven ownership of systems through production deployment, adoption, and iteration.

What we require

You ship code now. Recent, hands-on, first-person production work you can walk through line by line - not architecture you directed or reviewed. If your last real commit was two years ago, this isn't the role.
Real engineering fundamentals. You can drop into an unfamiliar codebase, debug code you didn't write, and build the thing when the platform's GUI can't express it and the AI assistant is stuck. Low-code and AI-assisted development are welcome as tools, not as the whole toolbox.
Genuine customer-facing experience. You've been embedded with customers - in their environment, their mess, their competing priorities - and navigated ambiguity and stakeholders with no direct authority. Internal-only product work doesn't demonstrate this.
Demonstrable production GenAI depth. You've built real RAG and/or agentic systems and can explain the mechanics - retrieval strategy, orchestration, tool-calling - and, above all, how you evaluated them and made them safe to trust. A buzzword list is not depth.
Evaluation and guardrail instinct. You keep the stochastic model out of business-critical decisions, and you can prove your AI output is trustworthy rather than hoping it is.
Code we can look at and claims you can substantiate in a live session. A résumé is a starting point, not evidence.
Ownership temperament. You can own a system through production and iteration, inside a team's codebase and discipline - not only build-and-leave proofs of concept.

Strong pluses

Regulated-industry delivery (financial services, insurance, actuarial, wealth, pension) and comfort with its data, privacy, and governance realities - RBAC, audit, PIPEDA/GDPR.
Governed enterprise-AI patterns: human-in-the-loop, confidence thresholds, audit logging, escalation-path design.
Working depth in one or more of LangGraph or comparable agent frameworks, MCP, and AWS Bedrock / Azure OpenAI / GCP - real depth in one beats a shallow tour of all three.
A track record of taking use cases from discovery to production with measurable, defensible outcomes.
Strong written communication and the ability to teach - enablement is part of the job.

What this role is not

Not an architect or advisory seat. You build and deploy; you don't just diagram, cost, and present.
Not a low-code or platform-configuration role. Platforms are means; the job is engineering.
Not prototype-and-handoff. You own outcomes through production, not until the demo works.
Not a solo BD or fractional-consulting arrangement. This is full-contact delivery on a team.

How we evaluate

We weight what you can demonstrate over what's on the page. Come ready to build, and bring specifics.

A live, assistant-off exercise - extend or debug an unfamiliar codebase in front of us. This is the primary signal.
A production deep-dive - walk us through what broke in production, how you found it, and how you knew your AI output was safe to trust.
A discovery role-play - turn an ambiguous stakeholder ask into a scoped, ROI-ranked use case, out loud.
A depth check on your own claims - pick your strongest AI project and go as deep as we push: the graph, the retrieval, the evals, the guardrails.

Fit check

You'll thrive here if:

You'd rather ship a working system in a customer's messy environment than produce the perfect architecture diagram.
You're energized by ambiguity and being the most accountable person in the room.
You treat "the model said so" as the start of the work, not the end.

This isn't for you if:

You've moved into full-time architecture, strategy, or team leadership and don't miss the code.
Your AI experience is mostly demos, courses, or platform configuration.
You want to advise and hand off rather than build and own.

Benefits and Work Environment 

Levio offers a comprehensive and flexible benefits package designed to support your professional growth and personal wellbeing, including:

4 weeks of cumulative vacation starting from day one

Flexible working hours

Professional Development Allowance (PDA) for training, computer equipment, and physical activities

Training tailored to your areas of expertise

Registered Retirement Savings Plan (RRSP) with employer contribution up to 3% of gross salary

Modular group insurance plan

Public transportation or parking reimbursement when required

Referral bonuses

11 statutory holidays

Personal days

An active social life (5to7 events, social club, healthy snacks, coffee, and more)

Position Details 

Employment type: Full time, permanent

Employment Equity 

Levio subscribes to the principle of employment equity and applies an equal access employment program for women, Indigenous peoples, visible minorities, ethnic minorities, and persons with disabilities.

We value diversity and inclusion and are committed to creating a healthy, accessible, and rewarding work environment that highlights the unique contributions of our employees. Accommodations are available upon request for candidates participating in all aspects of the selection process.

Apply on job-boards.greenhouse.io About employer

More about this job

Responsibilities

The Forward Deployed Engineer at Levio will work with client stakeholders to scope AI use cases, then build and ship production GenAI and agentic systems inside the client's environment. The role owns these systems through real production use, including evaluation, safety, documentation and team enablement.

Requirements

Levio needs candidates with 6+ years of engineering experience, including 3+ years in GenAI or agentic systems. Candidates must show recent hands-on production code, real customer-embedded experience, and proven evaluation and guardrail skills.

Skills

Python
RAG
Agent orchestration
Tool calling
MCP integration
LangGraph
AWS Bedrock
Azure OpenAI
GCP
Evaluation harnesses
Guardrails
Human-in-the-loop review
Audit logging
Debugging unfamiliar codebases
Application and data plumbing
Stakeholder discovery
Use case scoping
Technical communication
Documentation
Enablement and training

Benefits

4 weeks of cumulative vacation from day one
Flexible working hours
Professional Development Allowance
Training tailored to your areas of expertise
RRSP with employer contribution up to 3%
Modular group insurance plan
Public transportation or parking reimbursement
Referral bonuses
11 statutory holidays
Personal days

Keywords

Forward Deployed Engineer
GenAI
Agentic AI
RAG
Retrieval-Augmented Generation
LangGraph
MCP
Model Context Protocol
AWS Bedrock
Azure OpenAI
GCP
Evaluation harness
Guardrails
Human-in-the-loop
Digital transformation
Software engineering
AI engineering
Consulting
Enterprise AI
Regulated industries

Seniority

Senior

Perks

Generous paid time off
Flexible hours
Retirement plan
Performance bonus
Transit support
Paid training
Remote work allowance

Tools

LangGraph
MCP
AWS Bedrock
Azure OpenAI
GCP

Languages

English

Fields of study

Computer Science
Engineering
Data Science

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Work requirements

Jobs in Canada