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Added 4 mins ago
Senior AI Engineer
Tangerine
Toronto, ON
Full-time
Familiarity with Google's Vertex AI tech stack
Added 5 mins ago
Senior AI Engineer
Scotiabank
Toronto, ON
Familiarity with Google's Vertex AI tech stack
Added 1 hour ago
Sr. Data Scientist
Charger Logistics Inc.
Brampton, ON
Full-time
Operate MLOps workflows on Google Cloud using Vertex AI Pipelines, Feature Store, and Model Registry, supporting model training, deployment, monitoring, and drift detection.
Added 4 hours ago
Senior Data and AI Scientist
Benevity
Remote, Canada
Full-time · Remote
Cloud Platforms: GCP (Vertex AI), AWS (SageMaker), or Azure ML (experience with one required); experience with containerization (Docker) or orchestration (Kubernetes) is a plus
Added 4 hours ago
Senior Data and AI Scientist
Benevity
Remote, Canada
$109,400 to $150,370 CAD / year
Full-time · Remote
Cloud Platforms: GCP (Vertex AI), AWS (SageMaker), or Azure ML (experience with one required); experience with containerization (Docker) or orchestration (Kubernetes) is a plus
Added 14 hours ago
Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
Full-time
…(ReAct, Chain of Thought, Plan-and-Solve) using Google ADK, Vertex AI Agent Builder, LangChain, or…
Added 22 hours ago
Enterprise Security Architect
Centraprise
Toronto, ON
Contract
Evaluate the security of agent frameworks, LLM pipelines, and model-hosting platforms (e.g., Vertex AI, Azure OpenAI).
Added 1 day ago
Architecte de solution IA
CGI
Montreal, QC
Full-time
Expertise in designing AI/ML solutions on cloud platforms (Azure, AWS, or GCP), including managed services (Azure OpenAI, SageMaker, Vertex AI, etc.).
Added 1 day ago
Manager, AI & Data Science - Tangerine
Tangerine
Toronto, ON
Full-time
Experience with analytics tools such as Python, BigQuery, GCP, Vertex AI, SQL, or similar platforms.
Added 1 day ago
Technical Architect- AI
Mphasis
Toronto, ON
Full-time
…AI, Vector Databases, and the Google AI ecosystem including Vertex AI and Gemini. The role requires a blend of strategic architecture leadership and hands-on technical expertise to deliver…
Added 1 day ago
Manager, AI & Data Science - Tangerine
Scotiabank
ON · Toronto, ON
Experience with analytics tools such as Python, BigQuery, GCP, Vertex AI, SQL, or similar platforms.
Added 1 day ago
Systems Engineer - End-to-End Software Diagnostics & Observability
EPITEC
Ottawa, ON
Contract
Experience with AI/ML frameworks and tools such as PyTorch, TensorFlow, scikit-learn, LangChain, Vertex AI, or BigQuery.
Added 1 day ago
Senior Machine Learning Developer
Jobgether
Canada
Full-time
Familiarity with technologies such as LiveKit, Ray Serve, Dagster, Vertex AI, GCP, Kubernetes, Pulumi, or AI provider APIs is beneficial.
Added 1 day ago
Lead, AI/Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
Solid experience with cloud platforms, particularly Azure, including Azure AI Foundry and Azure OpenAI; working knowledge of GCP and Vertex AI is an asset.
Added 1 day ago
Senior Software Developer, Full Stack, Applied AI Agent Studio
Urban Ridge Supplies
Toronto, ON
Full-time
The Developer Experience/CX Agent Studio (CXAS) Console team is harnessing the power of Google's next generation agentic development platform to empower anyone to build enterprise grade…
Added 1 day ago
AI Solutions Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
Experience on enterprise AI platforms (e.g., Azure OpenAI, Google Vertex AI, Anthropic APIs), including security and cost/performance trade-offs
Added 1 day ago
Senior AI Engineer, IT Solutions 1
Urban Ridge Supplies
Toronto, ON
Full-time
Experience with Cloud AI Services (Azure AI Studio, AWS Bedrock, or Google Vertex AI [Preferred]).
Added 1 day ago
Applied AI Engineer
Urban Ridge Supplies
Mississauga, ON
Full-time
…Enterprise, tool use, extended thinking, Claude Code; Gemini API, Vertex AI Agent Builder, grounding; OpenAI Assistants/Responses APIs, Agents…
Added 1 day ago
Staff Marketing Technology Engineer
Absorb
Remote, Canada
Full-time · Remote
Experience building and deploying AI/LLM applications and agents (e.g., Vertex AI / Agent Builder, LangChain/LangGraph, or similar), API design (e.g., FastAPI), and evaluating AI system…
Added 2 days ago
Lead SAP FSCM Applications consultant
Infosys
AB
Experience in the following areas: SAP S/4 HANA, Vertex, EDI , iDOC, GTS, SAP Receivables management
Added 2 days ago
Indirect Tax Manager - Canada
Stellantis Financial Services US
Toronto, ON
Full-time
Knowledge of tax automation solutions such as Avalara, Vertex, SAP Tax, OneSource, or similar platforms.
Added 2 days ago
Proposal Coordinator
Vertex Resource Group
Sherwood Park, AB
With these two words, Vertex makes the promise that we will always be versatile in developing solutions to our clients’ unique needs and that we will always demonstrate expertise in our…
Added 2 days ago
AI Outcome Customer Developer, Forward Deployed Development
Google
Toronto, ON
As an AI Outcome Customer Developer in our GTM AI Tech organization, you work as an enterprise architect, technical debugger, development liaison and technical delivery manager. You will…
Added 2 days ago
AI Full Stack Development Lead
Accenture
Toronto, ON
Full-time
Develop and deploy applications on Google Cloud Platform (GCP) using cloud-native design principles including Vertex AI, Gemini API, and Cloud Run.
Added 2 days ago
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Sapient
Toronto, ON
Full-time
Exposure to agentic platforms or cloud AI services such as Vertex AI, Azure AI services, AWS AI services, or comparable platforms; specific platform experience is less important than…

Urban Ridge Supplies

Senior Software Developer, Full Stack, Applied AI Agent Studio

Toronto, ON, Canada

Job type: Full-time
Posting language: English
Posted: Sep 24, 2026

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Original job description

In most instances, this position requires in-person interviews as part of the hiring process.

This posting is for a new vacancy.

Google utilizes AI tools to assist in assessing candidates in our hiring processes.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Waterloo, ON, Canada; Toronto, ON, Canada.

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
3 years of experience testing, maintaining, or launching software products.
1 year of experience with software design and architecture.

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical field.
5 years of experience with data structures/algorithms.
1 year of experience in a technical leadership role.
Experience developing accessible technologies.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Developer Experience/CX Agent Studio (CXAS) Console team is harnessing the power of Google's next generation agentic development platform to empower anyone to build enterprise grade agents. We work across the development life-cycle - Build, Evaluate, Deploy, Monitor and Optimize, extending the console, and re-imagining workflows in an agentic era.

Our work is an intersection of AI centric workflows, in an evolving AI infused Front End serving customers around the world at scale.

In this role, you will experience light bulb moments everyday, in understanding how AI can be used reliably in real world scenarios, with high profile customers, both in creating agents, and running them. You will be working in a fluid environment, in a smart, collaborative and goal oriented team.

The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Canada: $182000 - $186000 (CAD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Design and develop scalable, responsive user interfaces for the CXAS Console, empowering developers to seamlessly build, evaluate, deploy, monitor, and optimize enterprise-grade generative AI agents.
Architect and implement intuitive, AI-centric workflows that simplify complex agent configurations, directly contributing to an evolving AI-infused front end that serves customers globally at scale.
Build robust, performant front-end components capable of managing real-time interactions, data visualizations, and testing interfaces for agents engaging in complex, open-ended dialogues and autonomous tasks.
Collaborate closely with UX design, product management, and ML engineering partners to translate technical constraints into intuitive, user-centric front-end solutions.
Provide front-end architectural oversight, set UI engineering best practices, and coach team members to drive engineering excellence within a changing, collaborative environment.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Job Id: fTzDs7dA3oGiewT2CY7eOAHDxbFEZqe0ePbZ3ORXPNuauoZJ3cg6jzVqRoJoYEo+1wDjIEoHf1jEzptvqGz8FOm61faN/2w1t7odq//yU6jqnlo5sPLm8bDRpVBImZufL7eOimBvdA1yWVCNFnczTQ==

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More about this job

Responsibilities

Design and develop scalable, responsive user interfaces for the CXAS Console to support the lifecycle of enterprise-grade generative AI agents. Collaborate with cross-functional teams including UX, product management, and ML engineering to implement intuitive, AI-centric workflows.

Requirements

Requires a bachelor's degree or equivalent experience, with at least 5 years of software development experience and 3 years in full-stack development. Candidates must demonstrate proficiency in back-end and front-end technologies, along with experience in software design and architecture.

Skills

Java
Python
Golang
C++
JavaScript
TypeScript
HTML
CSS
Software Architecture
Full Stack Development
Data Structures
Algorithms
Technical Leadership
Generative AI
UI Design
Distributed Computing

Benefits

Bonus
Equity
Health Insurance

Visa sponsorship

Not detected in the job text

Keywords

Software Engineering
Full Stack
Applied AI
Agent Studio
Java
Python
Golang
C++
JavaScript
TypeScript
HTML
CSS
Generative AI
UI Design
Distributed Computing
Information Retrieval
Data Structures
Algorithms
Technical Leadership
Gemini Enterprise
Vertex AI
Cloud Computing
Software Architecture
Front-end Development
Back-end Development
API
System Design
Accessibility
Product Development
Agile

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