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Added 5 mins ago
JH
Entry Level Tax Preparer
Jackson Hewitt Tax Service Inc.
Williamsburg, ON
- Part-time
Enrolled Agent materials and testing reimbursement
Added 5 mins ago
JH
Seasonal Tax Preparer in Walmart
Jackson Hewitt Tax Service Inc.
Williamsburg, ON
- Part-time
Enrolled Agent materials and testing reimbursement
Added 5 mins ago
SM
RQ11645 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…applications, including Large Language Models (LLMs), AI agents, agent-based workflows, document processing solutions, and human-in-the-loop review and approval…
Added 7 mins ago
M-
Spécialiste en intégration de systèmes, IA souveraine
Mila - Institut québécois d'intelligence artificielle
Montreal, QC
- Full-time
…infrastructure they control. It combines model serving, retrieval, agent orchestration, and observability, with a control plane to operate them as one…
Added 7 mins ago
Co-op, Full Stack Developer
Enedym Inc
Hamilton, ON
…engineering to develop a mixture of traditional software and agent-enabled software systems. If you thrive on taking ideas from conception to deployment and want to gain hands-on experience…
Added 7 mins ago
Justice Officer (Bilingual) / Agent ou agente de justice (bilingue)
The Government of Nova Scotia
Yarmouth, NS
À titre d'agent ou d'agente de justice, vous offrez une vaste gamme de services de soutien administratif et vous êtes le premier contact pour le public et les clients du système judiciaire.…
Added 7 mins ago
Justice Officer (Bilingual) / Agent ou agente de justice (bilingue)
The Government of Nova Scotia
Digby, NS
À titre d'agent ou d'agente de justice, vous offrez une vaste gamme de services de soutien administratif et vous êtes le premier contact pour le public et les clients du système judiciaire.…
Added 22 mins ago
TT
Agent/agente de sécurité en magasin Prévention des pertes
The TJX Companies, Inc.
Mississauga, ON · Boisbriand, QC · CAN Home Office Mississauga ON
- $37,590 to $52,626 CAD / year
- Full-time
Nous sommes à la recherche d’un(e) agent(e) de sécurité en magasin, Prévention des pertes, pour nous aider à créer un environnement sûr, sécurisé et accueillant dans nos magasins. Dans ce…
Added 22 mins ago
K
Senior Web Developer (Full Stack)
Klick
Toronto, ON
- Full-time
Experience building internal AI tools or agents using an agent SDK, including evaluation approaches such as baseline comparisons, automated scoring, or LLM-as-judge methods, or delivering…
Added 36 mins ago
CP
Letter Carrier - Delivery Agent 1 1 1 1 1
Canada Post / Postes Canada
North Battleford, SK
- Temporary
Business Function: Delivery Agent or Letter Carrier
Added 36 mins ago
ÉD
Postdoctoral Fellow – Automation and Decision Support, Distributed Systems and Multi-Agent Systems – C5I Centre
École de technologie supérieure
Montreal, QC
- $80,000 to $88,000 CAD / year
- Full-time
…automation and decision support, distributed systems, and multi-agent systems. The selected candidates will contribute to the development of novel methods, architectures, and algorithmic…
Added 36 mins ago
ZS
Python Full-Stack Developer with Django & AI Experience
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Proven experience in AI agent development and implementation
Added 36 mins ago
K
Senior Web Developer (Full Stack)
Klick
Toronto, ON
- Full-time
Experience building internal AI tools or agents using an agent SDK, including evaluation approaches such as baseline comparisons, automated scoring, or LLM-as-judge methods, or delivering…
Added 51 mins ago
T
Security Agent
Techo-Bloc
Longueuil, QC · Saint-Hubert, QC
- Part-time
Join our Security team at Techo-Bloc! We have an opening for a Security Agent position to work in both our Saint-Hubert and Chambly locations.
Added 1 hour ago
J
Data Engineer (Early Career) (Canada)
Jobright.ai
Canada
- Full-time
Jobright is your personal AI job search agent transforming the job search process. They are seeking an early-career Data Engineer to design and build data pipelines, ensuring data quality…
Added 1 hour ago
GD
Research Developer, Frontier AI Incubation, DeepMind
Google DeepMind
Montreal, QC
- Full-time
…technologies within production environments (e.g., Project Helix, agent workspaces, and intelligent system…
Added 1 hour ago
Sécurité | Superviseur | Donnacona | Sur appel jour et soir - $30.45 à $34.20/h
Securitas Canada
Donnacona, QC
Added 1 hour ago
Manager, Regulatory Affairs (Clinical Labeling)
Telix Pharmaceuticals (AMER)
Canada
…international roll-out of our approved prostate cancer imaging agent and helping us to advance our portfolio of late clinical-stage products that address significant unmet need in oncology…
Added 1 hour ago
A
Conseiller(ère) en ressources humaines- Alcoa Deschambault
Alcoa
Deschambault-Grondines, QC
- Full-time
Concevoir et animer des formations, accompagner les gestionnaires dans les transformations organisationnelles et agir comme agent de changement.
Added 1 hour ago
NM
Insurance Agent
Nova Mutual Insurance Company
Jarvis, ON
- Full-time
Role Description The Insurance Agent role at Nova Mutual Insurance Company is a full-time, on-site position based in Jarvis, ON. The Insurance Agent will consult with current and…
Added 1 hour ago
BS
ServiceNow Developer
Brainhunter Systems Ltd
Toronto, ON
- Contract
Experience with Employee Center, Integration Hub, Virtual Agent, ITSM, CMDB, ITAM, APM, SIR, ITOM, IRM applications desirable
Added 2 hours ago
NS
Senior Applied AI Engineer
Network Solutions
Canada
- Full-time
Diagnose hallucinations, retrieval failures, incorrect tool usage, agent loops, latency issues, provider failures, and unexpected inference costs.
Added 2 hours ago
D
Agent, Product administration
Desjardins
Montreal, QC · Complexe Desjardins Montréal
- Full-time
As a product administration agent, you provide administrative support to Desjardins components and help administer specialized products and member/client accounts. You perform…
Added 2 hours ago
Letter Carrier - Delivery Agent
Canada Post - Postes Canada
Matane, QC
Business Function: Delivery Agent or Letter Carrier
Added 2 hours ago
A
Conseiller(ère) en ressources humaines- Alcoa Deschambault
Alcoa
Deschambault, QC · CA ADQ Deschambault, QC
- Full-time
Concevoir et animer des formations, accompagner les gestionnaires dans les transformations organisationnelles et agir comme agent de changement.

Levio

Artificial Intelligence Engineer

Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 5, 2026

Original job description

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 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.

What you'll do

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.

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.
Verifiable. 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.

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More about this job

Responsibilities

Lead customer discovery to identify and prioritize AI use cases, then build, deploy, and maintain production GenAI and agentic systems within customer environments and governance constraints. Design evaluations and safeguards, support adoption through documentation and enablement, and communicate technical and delivery trade-offs to decision-makers.

Requirements

Requires recent, hands-on production coding experience, strong engineering and debugging fundamentals, customer-facing delivery experience, and demonstrable depth building and evaluating RAG or agentic systems. Candidates must be able to design trustworthy guardrails, own systems through production iteration, and substantiate their work in practical assessments.

Skills

Production GenAI Engineering
Retrieval-Augmented Generation (RAG)
Agent Orchestration
Tool and MCP Integration
Evaluation Harnesses
Software Engineering
Customer Discovery
Production Deployment
Cloud Platforms
Data Governance
Security and Privacy
Human-in-the-Loop Review
Guardrail Design
Stakeholder Communication
Debugging
System Ownership

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Agentic Systems
Retrieval-Augmented Generation (RAG)
Agent Orchestration
Tool Calling
Model Context Protocol (MCP)
LangGraph
AWS Bedrock
Azure OpenAI
Google Cloud Platform
Evaluation Harnesses
Human-in-the-Loop
Confidence Thresholds
Audit Logging
Escalation Paths
Cloud Deployment
Data Governance
Role-Based Access Control (RBAC)
PIPEDA
GDPR
Regulated Industries
Production Engineering
Customer Discovery
ROI Prioritization
Security and Privacy
Deterministic Business Logic
Enterprise AI
System Evaluation
Production Monitoring

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