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Added 1 hour ago
M
Technical Architect
Mphasis
Toronto, ON
- Contract
Generative AI & LLMs: Gemini, Vertex AI, OpenAI, Llama, Foundation Models, Prompt Engineering, Conversational AI, Agentic AI / Multi-Agent Architectures, AI Model Evaluation and Monitoring
Added 1 hour ago
Senior AI Engineer
Charger Logistics Inc
Brampton, ON
We are looking for a highly motivated Sr. AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments.…
Added 1 hour ago
ZS
Artificial Intelligence Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Develop prompt engineering strategies, Retrieval-Augmented Generation (RAG) pipelines, and AI agents to improve model performance and user experience.
Added 1 hour ago
SP
Professor, Part-Time
Seneca Polytechnic
Toronto, ON · North York, ON
- Part-time
Professional Engineer (P.Eng.) designation is considered a strong asset, particularly for candidates with experience applying AI in engineering or technology environments.
Added 1 hour ago
GS
Artificial Intelligence Engineer
Gala Solutions
Montreal, QC
- Contract
LLM platform engineering specifics: streaming and server-sent events, token accounting, prompt and response guardrails, and model evaluation.
Added 1 hour ago
CL
Senior AI Engineer
Charger Logistics Inc.
Brampton, ON
- Full-time
We are looking for a highly motivated Sr. AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments.…
Added 2 hours ago
TR
JREQ203081 Staff Software Engineer I (Open)
Thomson Reuters
Toronto, ON
- Full-time
The CoCounsel Agent Context team is seeking a Staff Software Engineer to set the technical direction for Content Tools - the purpose-built APIs that give AI agents precise, governed access…
Added 2 hours ago
Software Engineer I
RAM Engineering Ltd.
Vancouver, BC
RAM is looking for a Software Engineer I to join our growing technology team. This is an excellent opportunity for an early-career Software Engineer who already has some professional…
Added 2 hours ago
RE
Project Manager
Rhyno Equity Group
Edmonton, AB
- Full-time
…logistics) and external parties (GC, EOR, architect, connection engineer, inspection agencies, installation subcontractors,…
Added 5 hours ago
T
Associate – Front Office Quant Engineer
TD
Toronto, ON
- Full-time
Global Equity Derivatives (GED) is seeking a highly motivated Front Office Quant Engineer to design, develop, and maintain technology solutions that enhance the productivity and…
Added 5 hours ago
Senior Staff Software Engineer
Diligent Corporation
Vancouver, BC
As a Senior Staff Software Engineer on Diligent's Platform AI team, based out of our technical center of excellence in Vancouver, you will drive the architecture and technical direction of…
Added 6 hours ago
ZB
AUDIO ENGINEER/TECHNICIAN
Zeo Brothers Rental/Retail
Engineer, BC
- Full-time
The position of A1, A2, or A3 Audio Engineer requires an experienced technician to work on an event/job site. This person must demonstrate both technical abilities, crew leadership skills,…
Added 6 hours ago
AI
Staff Engineer
Atlantis IT Group
Toronto, ON
- Contract
As a Staff Engineer supporting the ADT - CODI program within Operations Technology, you will lead the technical design, development, and implementation of complex, multi-platform…
Added 7 hours ago
Agentic AI Software Backend & Platform Engineer
Siemens
Kitchener, ON
We are seeking a Backend & AI Engineer, for Siemens Digital Industries Operations Software to help build and scale our Agentic AI platform. The role focuses on solid backend engineering,…
Added 7 hours ago
Canada Tax Technology Group (CTTG) - Manager, AI Adoption & Enablement - Vancouver
EY
Vancouver, BC
We're looking for someone who is not necessarily a traditional developer, data scientist, or AI engineer. We're looking for an innovator, coach, and problem solver who can quickly…
Added 7 hours ago
P
Software Engineer, AI
Pebl
Remote, Canada
- $109,200 to $140,000 CAD / year
- Full-time
- Remote
…you, not just for you. We're looking for a Junior Software Engineer to join the team and grow into a core contributor on the systems that power…
Added 7 hours ago
AI
Full Stack Engineer
Apptoza Inc.
Toronto, ON
- Contract
Build Gen AI system frameworks, Prompt Engineering, including designing and refining prompts to optimize LLM outputs, implementing Gen AI systems into production.
Added 7 hours ago
D
Lead AI .Net Developer
Digitive
Canada
- Contract
…regarding workflow friction points and report back to the Lead AI Engineer to continuously refine prompt sets, agent loops, and developer experience…
Added 7 hours ago
TS
Associate – Front Office Quant Engineer
TD Securities
Toronto, ON
- Full-time
Global Equity Derivatives (GED) is seeking a highly motivated Front Office Quant Engineer to design, develop, and maintain technology solutions that enhance the productivity and…
Added 7 hours ago
YI
Support Engineer in Test (Bilingual – French/English)
YuJa Inc.
Toronto, ON · North York, Ontario
- From $60,000 CAD / year
- Full-time
As a Support Engineer in Test, you will play a pivotal role in ensuring the stability and reliability of our company's infrastructure and software environment. Your responsibilities extend…
Added 8 hours ago
Senior Software Engineer, Full-Stack Applications - Python
Fitch Group
Toronto, ON
Senior Software Engineer, Full-Stack Applications – Python
Added 8 hours ago
OS
Java Software Engineer
Open Systems Technologies
Montreal, QC
- Contract
A good understanding of building and supporting applications through basic prompt, data context management, and foundational model testing.
Added 10 hours ago
NS
Senior Applied AI Engineer
Network Solutions
Canada
- Full-time
We are looking for a hands on Senior Applied AI Engineer who combines strong software engineering with practical AI problem solving. You will build production AI experiences across Network…
Added 13 hours ago
PT
Software Engineer
Purelend Technologies Inc.
Calgary, AB
- Full-time
We're hiring a Software Engineer to join our core product team and own meaningful chunks of the platform end-to-end. This isn't a role where you get handed a Jira ticket and a fully-specced…
Added 13 hours ago
J
AI Engineer, Entry Level (Canada)
Jobright.ai
Canada
- Full-time
…the job search experience. They are seeking an entry-level AI Engineer to build and refine autonomous AI agents, develop sophisticated prompt engineering workflows, and integrate Large…

Gala Solutions

Artificial Intelligence Engineer

Montreal, QC, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 5, 2026
Experience: Experience Level: Level 3 (senior): 5-7 years
Posting language: English
Posted: Oct 6, 2026

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 the enterprise AI Gateway across Azure and AWS, including Python APIs, model-provider integrations, cloud-native identity, and Kubernetes deployments. Implement governance, authorization, observability, and production support controls while collaborating 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. Also requires infrastructure-as-code and CI/CD experience, SQL and schema migrations, testing discipline, and clear communication; AI gateway, LLM platform, and observability experience are preferred.

Skills

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

Visa sponsorship

Not detected in the job text

Keywords

Python
FastAPI
Flask
Kubernetes
Azure
AWS
Azure OpenAI
Azure AI Foundry
Amazon Bedrock
Entra ID
Managed Identity
AWS IAM
STS
OAuth 2.0
OIDC
Terraform
Helm
GitOps
Jenkins
GitHub Actions
SQL Server
PostgreSQL
Prometheus
Grafana
Loki
Snowflake
Kafka
OpenTelemetry
API Gateway
Generative AI

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