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Added 4 hours ago
Q
Camera Frontend Implementation Engineer
Qualcomm
Vancouver, BC
- Full-time
Collaborate with Front-end Design, DFT, and Physical Design teams to achieve design convergence and tapeout readiness.
Added 9 hours ago
ST
Industrial Engineer - Internal Logistics Engineering
SEGULA Technologies
Windsor, ON
- Full-time
Front-End Engineering & Cost Analysis: Perform long-lead engineering for logistics processes (estimating automation, surface area, docks, equipment) and support program teams with…
Added 10 hours ago
Intermediate Structural Engineer
Hatch
Sudbury, ON
The Structural Engineer will be part of an engineering team providing engineering services to large and small mining projects, including underground mining areas. The Senior Structural…
Added 10 hours ago
TH
Frontend Software Engineer (senior)
Teumo Health Technologies Inc.
Vancouver, BC
- Full-time
Exposure to cloud platforms such as AWS or Azure for deploying scalable front-end solutions.
Added 11 hours ago
P
Software Engineer
ProxyLink
Toronto, ON
- Contract
Develop REST APIs and integrate front-end applications with backend services and cloud-based platforms.
Added 11 hours ago
SL
Engineering Manager
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Prospr is Sun Life's digital front door for Canadians - startup velocity inside a Fortune 500. We're revolutionizing how Canadians access insurance and wealth solutions by building a…
Added 11 hours ago
Senior Specialist, Software Engineering (Microsoft Dynamics 365 CRM)
CMHC - SCHL
Toronto, ON · Ottawa, ON · Montreal, QC
Join the Business Solutions Engineering team, in the Senior Specialist, Software Engineer (Microsoft Dynamics 365 CRM) position, where the next generations of software applications are…
Added 11 hours ago
FF
Principal Software Engineer
Forward Financing
Remote, Canada
- $200,000 to $250,000 CAD / year
- Full-time
- Remote
Experience with front-end architecture or a full-stack perspective, with an understanding of how backend services impact the end-user experience.
Added 11 hours ago
L
Artificial Intelligence Engineer
Levio
Canada
- Full-time
…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…
Added 12 hours ago
AL
Full Stack Engineer
Artech L.L.C.
Mississauga, ON
- $70 to $80 CAD / hour
- Contract
The ideal candidate will be React-focused, with strong hands-on experience building modern front-end applications and solid Java/Spring Boot experience on the backend. Angular experience is…
Added 12 hours ago
TH
Backend Software Engineer (junior)
Teumo Health Technologies Inc.
Vancouver, BC
- Full-time
Added 13 hours ago
P
Electronic Hardware Engineer
Percucision
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Mixed-signal, analog front-end, or low-noise sensor circuit design
Added 13 hours ago
Senior or Staff Software Engineer, Backend
League Inc.
Canada
As a Senior or Staff Software Engineer, Backend on our Product Engineering team, you bring deep technical expertise to the design and delivery of the foundational services and developer…
Added 14 hours ago
Software Engineer II, Web
Pinterest
Toronto, ON
As a Software Engineer at Pinterest, you will contribute to initiatives that empower developers to build modern, world-class web experiences for Pinners with high productivity, performance,…
Added 15 hours ago
SM
Instrumentation & Controls Engineer/Technologist (Intermediate)
Solaris Management Consultants Inc
Surrey, BC · Calgary, AB
- $85,000 to $140,000 CAD / year
- Full-time
…assets. We deliver predictable outcomes through disciplined front-end planning, construction-led designs, and data-driven controls. With more than 31 years of experience and a portfolio of…
Added 15 hours ago
SM
Electrical Engineering - Project Lead (Surrey, BC & Calgary, AB)
Solaris Management Consultants Inc
Surrey, BC · Calgary, AB
- $130,000 to $170,000 CAD / year
- Full-time
…assets. We deliver predictable outcomes through disciplined front-end planning, construction-led designs, and data-driven controls. With more than 31 years of experience and a portfolio of…
Added 15 hours ago
SM
Instrumentation & Controls Engineer - Project Lead
Solaris Management Consultants Inc
Surrey, BC
- $130,000 to $170,000 CAD / year
- Full-time
…assets. We deliver predictable outcomes through disciplined front-end planning, construction-led designs, and data-driven controls. With more than 31 years of experience and a portfolio of…
Added 16 hours ago
IG
Full Stack Engineer
Insight Global
Toronto, ON
- $50 to $60 CAD / hour
- Contract
Strong hands-on experience with React and modern front-end development.
Added 16 hours ago
S
Software Engineer Co-op, Apps
Solink
Remote, Canada
- $55,000 to $68,000 CAD / year
- Full-time
- Remote
We are seeking a motivated Software Engineer Co-Op or Intern to join our R&D team. In this role, you’ll gain hands-on experience in full-stack development, working on both front-end and…
Added 19 hours ago
3
Senior Software Engineer - Java, Angular REQ_60 REQ_34
3Pillar
Canada
- Full-time
Front-end technologies: Angular 2+, JavaScript/TypeScript, HTML, CSS.
Added 20 hours ago
Staff Software Developer, Client Stack, Front End and Web Development, Google Cloud
Google
Waterloo, ON
5 years of experience with full stack development, across back-end such as Java,, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
Added 22 hours ago
W
Principal Process Automation Engineer
Worley
Markham, ON
- Full-time
Specific front end engineering experience developing project scope, control system philosophy, systems architecture, process safety studies, SIL determination, P&ID development and building…
Added 1 day ago
S
Full Stack Engineer, Link
Stripe
Toronto, ON
- Full-time
…payment methods. Our team's work spans the entire stack from front-end experiences, to infrastructure that supports low-latency transactions, to intelligent systems that help protect…
Added 1 day ago
Q
AI Engineer (Python)
Quartz
Open Hall, NL
- Full-time
We're looking for an AI Engineer to own Charlie, the personal banker at the heart of Quartz. Charlie is live with UK members today, answering questions about their pensions, ISAs, savings…
Added 1 day ago
GC
Senior Forward Deployed Engineer
Greenlight Consulting
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Full-stack engineering foundation - you've built things end to end, backend to frontend, and you own the whole stack

Levio

Artificial Intelligence Engineer

Canada

Full-time

Apply About employer

Applications open in a new tab.

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.

Apply About employer

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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