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Added 3 mins ago
IG
Machine Learning Engineer
IMCS Group
ON · Ontario, Canada
- Contract
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 6+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 4 mins ago
Logistics Engineering Specialist
Siemens
Concord, ON
The Logistics Engineer is responsible for analyzing, designing, implementing, and continuously improving material-flow and logistics processes across warehouse, receiving, production,…
Added 4 mins ago
F
Technical Support Specialist
Fortinet
Burnaby, BC
- Full-time
The engineer will also interface with our QA and software development team to solve customer problems and identify bugs through replication and testing. Wherever possible, the products…
Added 4 mins ago
EC
Ingénieur(e) en réseaux de puissance / Power Systems Engineer
Eaton Corporation
Brossard, QC
- Full-time
…world. As part of a multidisciplinary team, the Power Systems Engineer will participate in the research, design, prototyping, testing, and documentation of custom electric utility system…
Added 18 mins ago
ED
Sr Software Developer (Lead) - EN 178
Export Development Canada | Exportation et développement Canada
Ottawa, ON
- $96,557 to $128,743 CAD / year
- Full-time
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive
Added 18 mins ago
E
AI Quality Engineer
EPITEC
Toronto, ON
- Contract
Added 18 mins ago
MM
Reliability Engineer / Project Engineer
Mohebi Martin Brower Logistics LLC
New Westminster, BC
- Full-time
Primary role of the Reliability/ Project Engineer is to identify, manage, improve equipment run time and preventative maintenance program. At the same time, the role requires hands-on work…
Added 19 mins ago
JC
Shift Engineer/ Building Operator
Johnson Controls
Kelowna, BC · Interior Heart and Surgical Centre
- Full-time
The O&M Stationary Engineer/Building operator is responsible for the maintenance and repair of Hospital infrastructure equipment This includes areas in and out of the Central Utility Plant…
Added 19 mins ago
Manufacturing Technician - Test Operator
INNIO
Welland, ON
…Welland Ontario Canada, reporting to the Lead Production Test Engineer. In this role, you will lead the operation and troubleshooting of highly complex engine and generator test bench…
Added 19 mins ago
SL
Principal Software Engineer, MarTech Platforms & Digital Enablement
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Added 19 mins ago
E
Engineer in Training I
Enbridge
Edmonton, AB
- Full-time
…excellence and innovation. We are seeking a Pipeline Integrity Engineer-in-Training I to join our…
Added 19 mins ago
Specialist Systems, IT
City of Mississauga
Mississauga, ON
3+ years of experience as a DevOps Engineer, DevOps Specialist, Cloud Engineer or in a similar role.
Added 34 mins ago
SA
Staff Software Engineer, Teleoperation
Sanctuary AI
Vancouver, BC
- Full-time
Sanctuary AI is hiring a Staff Software Engineer to drive and evolve the production teleoperation and data collection software that enables robot operators to control robots.
Added 34 mins ago
GV
Lead Power Systems Protection & Control Application Engineer (Part Time)
GE Vernova
Markham, ON
- Part-time
…generation of power system protection. As a Lead Application Engineer, you will bridge the gap between complex power system theory and real-world algorithm implementation, playing a pivotal…
Added 34 mins ago
M
Software Developer, Robotic Data & Deliveries
Mecka
Richmond Hill, ON
- $150,000 to $200,000 USD / year
- Full-time
3+ years building software as a full-stack or product engineer (or equivalent impact) - you’re comfortable owning a feature from UI to data.
Added 48 mins ago
ES
Data Engineer - DBT Cloud and Snowflake
Enterprise Solutions Inc.
Markham, ON
- Contract
Job Title - Data Engineer - DBT Cloud and Snowflake
Added 48 mins ago
FD
AI Engineer
Frontier Dental CA
Markham, ON
- Full-time
We’re seeking an AI Engineer to help shape the future of Frontier Dental through practical AI adoption and business automation.
Added 48 mins ago
CO
Specialist Systems, IT
City of Mississauga
Mississauga, ON
- Full-time
3+ years of experience as a DevOps Engineer, DevOps Specialist, Cloud Engineer or in a similar role.
Added 48 mins ago
T
Machine Learning Engineer
TEEMA
Toronto, ON
- $115,000 to $120,000 CAD / year
- Full-time
MLOps Developer / DevOps Infrastructure Engineer
Added 48 mins ago
H
Lead Mechanical Engineer
Hydrostor
Toronto, ON
- $150,000 to $190,000 CAD / year
- Full-time
…long-duration energy storage solutions, is seeking a Lead Mechanical Engineer - Static to join our team in Toronto. We’re supporting the development of a more resilient electricity grid and…
Added 48 mins ago
W
AI Engineer/Developer
W3Global
Toronto, ON
- $60,000 to $68,000 CAD / year
- Full-time
Added 49 mins ago
SL
Principal Software Engineer, MarTech Platforms & Digital Enablement
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Added 1 hour ago
C
Senior Python Engineer
Citi
Mississauga, ON
- Full-time
Added 1 hour ago
W
Senior Technical Consultant, Environmental Engineer
Worley
Cold Lake, AB · Edmonton, AB · Calgary, AB
- Full-time
Senior Environmental Scientist / Engineer / Technologist
Added 1 hour ago
GV
Lead Power Systems Protection & Control Application Engineer (Part Time)
GE Vernova
Markham, ON
- Part-time
…generation of power system protection. As a Lead Application Engineer, you will bridge the gap between complex power system theory and real-world algorithm implementation, playing a pivotal…

Volgo Technologies

AI Platform Developer

Toronto, ON, Canada

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Nov 8, 2026
Posting language: English
Posted: Oct 9, 2026

Original job description

Ideal Candidate

We are looking for a hands-on engineer who can build and deploy production-grade Agentic AI and multi-agent systems using Google ADK and MCP, while developing scalable AI platform capabilities on GCP.

Location: Downtown Toronto, ON, Canada

Job Summary

We are looking for an experienced AI Platform Developer with strong hands-on expertise in Google Cloud Platform (GCP), Generative AI, and Agentic AI application development.

The ideal candidate will have proven experience building autonomous agentic and multi-agent orchestration systems using Google Agent Development Kit (ADK), Model Context Protocol (MCP) tools, and AI platform engineering practices. The role involves designing scalable AI platforms, integrating AI agents with enterprise systems, and developing secure, production-ready GenAI applications.

Key Responsibilities

Design and develop autonomous AI agents and multi-agent orchestration systems using Google ADK.
Build and integrate MCP tools to connect AI agents with enterprise applications, APIs, databases, and internal services.
Architect scalable AI platforms and reusable components for enterprise AI applications.
Develop and deploy GenAI solutions using Google Cloud Platform and Vertex AI.
Build Retrieval-Augmented Generation (RAG) pipelines and integrate enterprise knowledge sources using Vertex AI Search and vector databases.
Develop backend services and REST APIs using Python and FastAPI.
Integrate AI applications with GCP services, including Cloud Run, BigQuery, and Cloud SQL.
Implement workflow orchestration, automation, monitoring, and observability for AI applications.
Establish AI governance, security controls, access management, and responsible AI practices.
Collaborate with architects, data engineers, AI/ML engineers, and business stakeholders to deliver enterprise-grade solutions.

Required Skills

Strong hands-on experience with Google Cloud Platform (GCP) and Vertex AI.
Practical experience building Agentic AI applications and autonomous AI agents.
Experience with Google ADK (Agent Development Kit).
Hands-on experience with MCP (Model Context Protocol) tools and integrations.
Experience implementing multi-agent architectures and orchestration workflows.
Strong Python programming skills and experience with FastAPI or equivalent frameworks.
Experience developing Generative AI applications using LLMs.
Hands-on experience with RAG, embeddings, semantic search, and vector databases.
Experience building REST APIs and integrating enterprise systems.
Knowledge of cloud-native application development, platform engineering, and production deployment practices.

Preferred Skills

Experience with Vertex AI Search, Cloud Run, BigQuery, and Cloud SQL.
Familiarity with Kubeflow Pipelines and AI/ML workflow orchestration.
Experience with Docker, Kubernetes, CI/CD, and infrastructure automation.
Knowledge of AI governance, observability, security, and compliance.
Google Cloud Professional Machine Learning Engineer certification is an advantage.
Experience in insurance, financial services, or other enterprise environments is preferred.

Apply About employer

More about this job

Responsibilities

Design and deploy autonomous AI agents, multi-agent orchestration systems, and scalable GenAI platform components on GCP, integrating enterprise systems and knowledge sources. Build backend APIs and RAG pipelines, and implement workflow automation, monitoring, security, governance, and responsible AI practices.

Requirements

Requires hands-on experience with GCP and Vertex AI, Google ADK, MCP integrations, agentic and multi-agent systems, and production GenAI applications. Strong Python and API development skills, plus experience with RAG, embeddings, semantic search, vector databases, and cloud-native deployment, are expected.

Skills

Google Cloud Platform
Vertex AI
Google ADK
Model Context Protocol
Agentic AI
Multi-Agent Orchestration
Python
FastAPI
Generative AI
Retrieval-Augmented Generation
Vector Databases
REST APIs
Vertex AI Search
Cloud Run
BigQuery
Cloud SQL

Visa sponsorship

Not detected in the job text

Keywords

Google Cloud Platform
Vertex AI
Google Agent Development Kit
Model Context Protocol
Agentic AI
Multi-Agent Systems
Generative AI
Large Language Models
Python
FastAPI
Retrieval-Augmented Generation
Embeddings
Semantic Search
Vector Databases
Vertex AI Search
REST APIs
Cloud Run
BigQuery
Cloud SQL
Kubeflow Pipelines
Docker
Kubernetes
CI/CD
Infrastructure Automation
AI Governance
Observability
Responsible AI
Google Cloud Professional Machine Learning Engineer
Insurance
Financial Services

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