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Added 11 mins ago
Quality Engineer
Quantum World Technologies Inc.
ON · Ontario, Canada
Contract
Experience creating test data and evaluation datasets for AI-driven applications
Added 11 mins ago
BI Platform Operations Engineer
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$65 to $72 CAD / hour
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Job Title: BI Platform Operations Engineer-Tableau, Quicksight, AWS
Added 11 mins ago
Founding Engineer, Physical AI + Computer Vision (Equity-Based)
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We’re looking for an exceptional Founding Engineer, Physical AI + Computer Vision to work directly with the founder and help define and build Shipped’s core technology.
Added 11 mins ago
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Toronto, ON · Greater Toronto Area, Canada
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Added 11 mins ago
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Full-time
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Added 11 mins ago
Mechanical Test Engineer - New Graduate
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$22 to $23 CAD / hour
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Additional knowledge of electrical equipment such as multimeters, data loggers, oscilloscopes, and power supplies is a plus
Added 13 mins ago
Lead Software Engineer (SAP ABAP)
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Toronto, ON · Canada, Toronto, Ontario
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Added 28 mins ago
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$55 to $60 CAD / hour
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Added 41 mins ago
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Collect, analyze, and interpret operational and business data.
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Engineer (Physical AI)
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Ottawa, ON
Full-time
We are seeking an entry level Engineer (Physical AI) to join the Pathfinding Studio within the Engineering Innovation Office. In this role, you will research and develop next generation…
Added 41 mins ago
BI Platform Operation Engineer
Collabera
Toronto, ON
$71 to $88 USD / hour
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Collabera is seeking a BI Platform Operations Engineer to support a large Canadian pension fund's BI-as-a-Service team. This role focuses on production support, platform operations,…
Added 41 mins ago
CPU DFT Engineer
NUVACORE
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$140,000 to $250,000 USD / year
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Added 41 mins ago
CPU Clock Distribution and Custom Clock Design
NUVACORE
Markham, ON
$140,000 to $250,000 USD / year
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As a Custom Clock Design and Distribution (CCD) Engineer, you will participate in the following :
Added 41 mins ago
CPU Architect Verification Engineer
NUVACORE
Markham, ON
$140,000 to $250,000 USD / year
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GPT/Prompt Engineer
Q1 Technologies, Inc.
Toronto, ON · Greater Toronto Area, Canada
$55 to $58 CAD / hour
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Added 41 mins ago
Senior Software Engineer II, Full Stack - Growth (Hybrid)
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Toronto, ON
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We’re looking for a Full Stack Senior Software Engineer 2 who’s passionate about building AI-powered, high-velocity systems that transform how our Growth, Sales, and Product teams operate.…
Added 41 mins ago
CPU Verification Engineer
NUVACORE
Markham, ON
$140,000 to $250,000 USD / year
Full-time
…seeking Verification Engineers at multiple levels - from Senior Engineer to Principal level - to help prove the correctness of the Nuvacore CPU. As part of the design verification (DV)…
Added 41 mins ago
Formal Verification Engineer
NUVACORE
Markham, ON
$140,000 to $250,000 USD / year
Full-time
…Formal Verification Engineers at multiple levels - from Senior Engineer to Principal level - to help prove the Nuvacore CPU correct with formal methods. As part of the design verification…
Added 42 mins ago
Senior Data Engineer
Clutch Technologies Inc.
Toronto, ON
As a Senior Data Engineer, you'll own the data platform that powers decision-making across Clutch, from how we buy and price vehicles, to how customers move through our funnel, to how we…
Added 58 mins ago
Senior Full-Stack Software Engineer - AI-Native Engineering, Java & React
Kaseya Careers
Toronto, ON
Senior Full-Stack Software Engineer - AI-Native Engineering, Java & React
Added 1 hour ago
Prompt Engineer
Envision Technology Solutions
Toronto, ON
Contract
Added 1 hour ago
Test Engineer - Databricks
Hays
Toronto, ON
$105,000 to $135,000 USD / year
Full-time
As a Test Engineer - Data, you will be responsible for developing and implementing automated testing frameworks for Databricks-based solutions, data pipelines, and data quality validation.…
Added 1 hour ago
Electrical Engineer
Johnson Controls
AB · SA - Edmonton Orion
Full-time
We are seeking an Electrical Engineer to join our team. You will be part of the North American electrical engineering department at Silent-Aire, focusing on the electrical design for data…

Gala Solutions

Artificial Intelligence Engineer

Montreal, QC, Canada

Job type: Contract
Apply by: Oct 30, 2026
Experience: Experience Level: Level 3 (senior): 5-7 years
Posting language: English
Posted: Sep 30, 2026

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Original job description

Job Title: AI Platform Engineering Specialist

Experience Level: Level 3 (senior): 5-7 years

12-month contract position

Location: Montreal (Day 1 onboarding onsite/in-office presence 3x/week)

Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm’s technology principles and drives efficiency and consistency, controls security and strong governance, and promotes innovation, enabling teams to build applications that leverage AI capabilities and accelerate the adoption of AI across our businesses. This role is for a platform engineering specialist who will help build a firmwide AI development platform and drive adoption of AI capabilities throughout the enterprise. We have multiple focus areas across the platform and are looking for energetic, multi-disciplinary candidates who are eager to contribute to providing scalable, secure, enterprise-wide solutions for the firm.

The ideal candidate will have strong hands-on experience building software platforms on any combination of the following platforms - Kubernetes, cloud (AWS, Azure, and/or Google), API-based development, REST framework, data engineering, large-scale API gateway environments, etc. Knowledge of AIML and hands-on experience implementing solutions using generative AI are also preferable. The candidate will have great communication skills, a team-based mentality, and a strong passion for using AI to increase productivity as well as help generate new ideas for product & technical improvements. In the Technology division, we leverage innovation to build the connections and capabilities that power our firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.

Key responsibilities:

Design, build, and operate the AI Gateway's Azure and AWS deployments, taking them from proof of concept to production.
Develop and extend the Python services (FastAPI / Flask) that provide the Gateway's inference, onboarding, and administrative APIs.
Integrate new model providers and model families, including Azure AI Foundry / Azure OpenAI and AWS Bedrock, covering request signing, streaming responses, failover, and quota handling.
Implement cloud-native authentication and secrets handling - Entra ID with Managed Identity and workload federation, AWS IAM roles and STS - with the goal of eliminating stored credentials.
Build and evolve the entitlement and authorization data layer across SQL Server and PostgreSQL, including schema changes, migrations, and data-correctness controls.
Own the platform controls that make the Gateway a governance point: rate limiting, token accounting, content guardrails, audit logging, and chargeback reporting.
Deploy and run the service on Kubernetes (on-premises, AKS, and EKS) using Helm, GitOps, and Terraform, and keep the CI/CD pipelines (Jenkins, GitHub Actions) healthy.
Build the observability to answer any question about a request after the fact - metrics, logs, and dashboards across Prometheus, Grafana, Loki, and Snowflake.
Work with cloud platform, network, and security teams on connectivity, egress policy, network controls, and architecture review, and produce the evidence those reviews require.
Support production: participate in on-call, investigate incidents, and drive fixes and hardening back into the code.
Write tests and documentation as part of delivery, and review peers' changes.

Required qualifications:

Strong, production-grade Python, including a web framework - FastAPI or Flask - and a real testing discipline.
Hands-on Kubernetes: deploying, configuring, and troubleshooting workloads, not solely reading manifests.
Practical OIDC / OAuth 2.0: token validation, JWKS, client-credentials flows, and claim and audience handling.
Microsoft Azure, hands-on across at least three of AKS, Entra ID (app registrations, service principals, Managed Identity / Workload Identity), Azure OpenAI or Azure AI Foundry, Key Vault, Azure Database for PostgreSQL, Azure Cache for Redis, and Azure Monitor.
Amazon Web Services, hands-on across at least three of: IAM and STS / assume-role, SigV4 request signing, Bedrock, EKS, VPC endpoints and private networking, Secrets Manager, and CloudWatch.
Infrastructure as code - Terraform, Bicep, or CDK - and CI/CD with Jenkins or GitHub Actions.
SQL and relational data modeling, including schema migrations.
Clear written and verbal communication and the ability to work directly with security, network, and platform teams.

Preferred qualifications:

Experience building or operating an API gateway, reverse proxy, or multi-tenant platform.
LLM platform engineering specifics: streaming and server-sent events, token accounting, prompt and response guardrails, and model evaluation.
Kafka and Snowflake for audit and consumption data pipelines.
Observability depth: Prometheus and PromQL, Grafana, Loki, OpenTelemetry.
Redis or Valkey beyond basic caching - counters, TTLs, distributed rate-limiter semantics.
Experience delivering in a regulated enterprise environment with corporate proxies, private networking, and strict change control.

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More about this job

Responsibilities

Build, deploy, and operate a secure enterprise AI Gateway across Azure and AWS, including Python APIs, model-provider integrations, cloud-native authentication, and authorization data services. Own governance, observability, Kubernetes deployments, CI/CD, production support, documentation, testing, and collaboration with security, network, and platform teams.

Requirements

Requires production-grade Python and web-framework experience, hands-on Kubernetes, practical OAuth 2.0/OIDC, and experience with multiple Azure and AWS services. Candidates also need infrastructure-as-code and CI/CD experience, SQL data-modeling and migration skills, and strong communication; API gateway, LLM platform, observability, and regulated-enterprise experience are preferred.

Skills

Python
FastAPI
Flask
Kubernetes
Microsoft Azure
Amazon Web Services
OAuth 2.0
OpenID Connect
Terraform
CI/CD
SQL
API Gateway Engineering
Generative AI
Infrastructure as Code
Observability
Cloud Security

Visa sponsorship

Not detected in the job text

Keywords

Python
FastAPI
Flask
Kubernetes
Microsoft Azure
Amazon Web Services
Azure OpenAI
Azure AI Foundry
Amazon Bedrock
Entra ID
AWS IAM
Terraform
Helm
GitOps
Jenkins
GitHub Actions
PostgreSQL
SQL Server
OAuth 2.0
OpenID Connect
API Gateway
Generative AI
Prometheus
Grafana
Loki
Snowflake
Kafka
OpenTelemetry
Redis
Rate Limiting

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