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Added 3 mins ago
B&
Lead, AI Engineering
Bain & Company
Zurich, ON
- Full-time
The Lead AI Engineer will design, build, and ship generative AI systems and agentic solutions for Bain’s clients. You will contribute across the full development lifecycle - from early…
Added 34 mins ago
HR
QA/QC Engineer
Hitachi Rail
Mississauga, ON
- Full-time
Witnessing and verifying inspections/testing and/or conducting inspections of various systems, subsystems including Post Installation Checkout, Site Acceptance Test, site Integration test,…
Added 34 mins ago
HR
System Design Specialist, Intermediate
Hitachi Rail
Toronto, ON
- Full-time
5+ years of experience in software design, development, integration, testing, deployment, and URS systems.
Added 49 mins ago
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Senior Software Engineer - Card Network Integration
Marqeta
Remote, Canada
- Full-time
- Remote
Marqeta is seeking a skilled Senior Software Engineer to join the Network File Integration team. In this role, you will help design and deliver scalable software solutions for batch and…
Added 1 hour ago
HR
Technical Specialist, Senior - Vital Software
Hitachi Rail
Toronto, ON
- Full-time
The Senior Software Technical Specialist leads the design, development, integration, and testing of complex operationally critical and safety-critical software systems within the railway…
Added 1 hour ago
HR
Software Architect - Vital Software
Hitachi Rail
Toronto, ON
- Full-time
The Software Architect leads the design, development, integration, and testing of complex operationally critical and safety-critical software systems within the railway signaling domain. As…
Added 1 hour ago
BC
Junior Engineer or Technician, Software Solution Integration
BBA Consultants
Mont-Saint-Hilaire, QC · Mont-St-Hilaire, QC
- Full-time
Help manage, install and configure systems, utility software and other software packages
Added 1 hour ago
SC
Sector Design Manager – ALTO project / Cadence
SYSTRA Canada
Montreal, QC
- Full-time
Coordinate the integration of solutions for accommodating interfaces between linear infrastructure and adjacent design elements, including utilities railway track, traction power/OCS,…
Added 1 hour ago
A
Hardware Engineer
Actalent
Ottawa, ON
- $55 to $65 CAD / hour
- Full-time
Exposure to FPGA-based systems and their integration with power electronics hardware.
Added 1 hour ago
A
Power Electronics Design Engineer
Actalent
Ottawa, ON
- $55 to $65 CAD / hour
- Full-time
Exposure to FPGA-based systems and their integration with power electronics hardware.
Added 1 hour ago
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Full Stack Software Engineer, New Grad
Jobright.ai
Canada
- Full-time
…to the best job outcomes. As a New Grad Full Stack Software Engineer, you will work across the product stack to build intuitive user experiences, scalable backend systems, and AI-powered…
Added 1 hour ago
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Android Software Engineer
Semperis
Toronto, ON
- Full-time
We're looking for an Android Software Engineer to join our team. As part of our growing team, you'll play a key role in protecting enterprises from cyber threats, while working with some of…
Added 1 hour ago
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Software Engineer- Inference Platform
Baseten
Montreal, QC
- $180,000 to $360,000 USD / year
- Full-time
We're looking for distributed systems engineers and product-minded generalists to build the distributed runtime that powers large-scale LLM inference on Baseten. Our inference platform…
Added 2 hours ago
CC
Senior Embedded Linux / BSP Platform Engineer
Corinex Communications
Vancouver, BC
- Full-time
…visibility, flexibility, and decarbonization, supporting the seamless integration of renewable energy, electric vehicles, and heat pumps into the power…
Added 2 hours ago
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Software Engineer – Master’s New Grad / Bachelor’s + 2–3 Years Experience
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Are you an enthusiastic early-career engineer passionate about building secure AI infrastructure from the ground up? Join Nutanix to help develop our DataHub platform - an enterprise data…
Added 2 hours ago
I
Custom IC Layout Engineer
Inpho
Ottawa, ON · Kanata, ON
- $90,000 to $140,000 CAD / year
- Full-time
…solutions for next-generation communications, and photonic systems. Our multidisciplinary team is pushing the boundaries of innovation in integrated photonics and semiconductor…
Added 2 hours ago
Mechanical Engineer Co-op
Moment Energy
Surrey, BC
Support the mechanical design and integration of battery energy storage systems
Added 3 hours ago
HR
Software Analyst
Hitachi Rail
Toronto, ON
- Full-time
The Software Analyst contributes to the design, development, integration, and testing of low- to medium-complexity operationally critical and safety-critical software systems within the…
Added 3 hours ago
IP
Group Lead, Electrical
IPS-Integrated Project Services
Vaughan, ON
- Full-time
Prepare engineering studies, reports, calculations, and schematic designs for new electrical systems.
Added 3 hours ago
S
Sector Design Manager – ALTO project / Cadence
SYSTRA
Montreal, QC
- Full-time
Coordinate the integration of solutions for accommodating interfaces between linear infrastructure and adjacent design elements, including utilities railway track, traction power/OCS,…
Added 3 hours ago
Software Engineer
Apple
Vancouver, BC
Experience writing automated tests across the stack (unit, integration, and end-to-end).
Added 4 hours ago
A
Senior Project Engineer
ABB
Calgary, AB
- Full-time
ABB is seeking a Senior Lead Project Engineer to join our team. In this role, you will provide technical leadership and oversee the successful execution of multidisciplinary electrical…
Added 4 hours ago
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Senior Test & Validation Engineer
Humanoid
Burnaby, BC
- Full-time
As a Senior Test and Validation Engineer at Humanoid, you will be responsible for bringing new hardware subsystems into a functional, controllable, measurable, and integration-ready state,…
Added 4 hours ago
KG
IAM Automation Engineer (Python & PingDS Focus)
K&K Global Talent Solutions INC.
Quebec, QC
- Full-time
Position: IAM Automation Engineer (Python & PingDS Focus)
Added 4 hours ago
H
CONOPS & Mission Analysis Systems Engineer | Remote Opportunity | Fastwater Staffing
HIKINEX
Remote, Canada
- Full-time
- Remote
We are seeking an experienced CONOPS & Mission Analysis Systems Engineer to lead mission planning, systems engineering, and operational analysis for advanced LEO and MEO satellite programs.…

Levio

Artificial Intelligence Engineer

Canada

Full-time

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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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