Jobs in Canada

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Added 1 month ago
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Software Engineer, Streaming Platform
Sentry
Remote, Canada
- $163,000 to $200,000 CAD / year
- Full-time
- Remote
This role is based in Toronto, with three days per week in the office to work closely with engineering teams
Added 1 month ago
IG
Machine Learning Engineer
IMCS Group
ON · Ontario, Canada
- Contract
Work Model: Hybrid – 2 days per week in-person at Toronto office preferred
Added 1 month ago
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Sr Software Developer (Lead) - EN 178
Export Development Canada | Exportation et développement Canada
Ottawa, ON
- $96,557 to $128,743 CAD / year
- Full-time
Export Development Canada operates in a hybrid work environment, currently requiring employees to work in the office 3 days per week
Added 1 month ago
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Principal Software Engineer, MarTech Platforms & Digital Enablement
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
…drive Sun Life's transition to a modern, composable, warehouse-native architecture powered by Snowflake, cloud-native technologies, and event-driven…
Added 1 month ago
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Senior Business Consultant
Miratech
Toronto, ON
- Full-time
Map requirements line-by-line against Genesys Cloud AI capability. Take the Phase 1 Requirements Matrix and assess each requirement against the native Genesys Cloud knowledge management and…
Added 1 month ago
AC
Partner, Product Security
Air Canada
Toronto, ON · Dorval, QC
- Full-time
Experience in cloud-native architectures (AWS, Azure)
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Développeur(euse) logiciel / Software Developer - C#/.NET/Web (SC SaaS)
Genetec
Montreal, QC
- Full-time
…nouvelle génération de Genetec. Nous travaillons à la fois dans le cloud avec une application Web native de pointe et sur site avec des applications de bureau connectées au…
Added 1 month ago
SL
Principal Software Engineer, MarTech Platforms & Digital Enablement
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
…drive Sun Life's transition to a modern, composable, warehouse-native architecture powered by Snowflake, cloud-native technologies, and event-driven…
Added 1 month ago
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Senior Data Engineer - Temporary
ARC'TERYX
North Vancouver, BC
- Full-time
Leading migrations from legacy systems to cloud-native platforms, ensuring minimal downtime and maximal performance
Added 1 month ago
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Senior Data Developer
FCC / FAC
Calgary, AB
- Full-time
Experience with data quality, data pipelines, APIs, automation or cloud-native development practices
Added 1 month ago
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Quality Assurance Intern
Ericsson
Bas-Saint-Laurent, QC
- Full-time
Travail hybride (actuellement, 3 jours par semaine à notre bureau de St-Laurent)
Added 1 month ago
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Senior Data Scientist – Generative AI & Machine Learning
Bevertec
Toronto, ON
- Contract
Understanding of APIs, microservices, and cloud-native application development.
Added 1 month ago
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Senior Full Stack Developer - Permanent - 19536
LRO Staffing
Mississauga, ON
- Full-time
We're looking for a talented and experienced Senior Full Stack Developer to join our growing engineering team. This isn't just another job, it's a chance to work on meaningful products,…
Added 1 month ago
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AI Architect / Toronto, ON (Hybrid) - FTE
AceStack
Toronto, ON
- Full-time
Design scalable, secure, cloud-native AI platforms with appropriate identity and access management, integration patterns, and infrastructure controls.
Added 1 month ago
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Python Software Engineer
Varonis
Vancouver, BC · Greater Vancouver, BC
- Full-time
…different battle than conventional cybersecurity companies. Our cloud-native Data Security Platform continuously discovers and classifies critical data, removes exposures, and detects…
Added 1 month ago
Principal Cybersecurity Specialist, Incident Response
Questrade Financial Group
Toronto, ON
Work-life balance in a hybrid environment with at least 3 days in office
Added 1 month ago
Data Engineer
MCAP
Waterloo, ON · Toronto, ON
Minimum knowledge of cloud native development practices and design patterns using private or public cloud providers required
Added 1 month ago
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Data Scientist
isgSearch
Toronto, ON · Greater Toronto Area, Canada
- Contract
· Strong understanding of APIs, microservices architecture, and cloud-native development
Added 1 month ago
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Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
- Full-time
…development of Agentic workflows, GenAI pipelines, and the cloud-native infrastructure that powers them and the integration of these systems into existing business processes to drive…
Added 1 month ago
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AI Solutions Architect
Hays
Toronto, ON
- Contract
Strong understanding of microservices, RESTful APIs, event-driven architectures, cloud-native design patterns, relational databases, and NoSQL technologies.
Added 1 month ago
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Quality Assurance Engineer
LeverageTek Staffing Solutions
Canada
- Temporary
Verify functional and non-functional requirements for cloud-native microservices.
Added 1 month ago
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Sr. Java Backend Developer
Tekgence Inc
Brampton, ON
- Contract
Support CI/CD pipelines and cloud-native deployments in containerized environments.
Added 1 month ago
Staff Software Engineer
Lantern
Vancouver, BC
…consistency, elevating technical standards, and helping scale our cloud-native healthcare platform to meet the needs of patients, care advocates, and enterprise…
Added 1 month ago
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Technical Analyst (Quicksight, SQL and Redshift)
FCC / FAC
Regina, SK · FCC Tower
- Full-time
As a Technical Analyst, you’ll ensure the reliability, performance, security and scalability of our cloud ecosystem within Amazon Web Services. With a strong customer focus, you’ll work…
Added 1 month ago
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Senior Staff Developer, User Identity & Access Management (UIAM)
Benevity
Remote, Canada
- Full-time
- Remote
Extensive cloud-native experience across AWS and GCP encompassing Infrastructure-as-Code DevSecOps and modern CI/CD pipelines

Fastloop

Technical Consultant (Data & AI)

Vancouver, BC, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Jun 10, 2026

Original job description

Careers

Technical Consultant (Data & AI)

Full Time

Vancouver

At Fastloop, we don’t sugarcoat it.

We’re a small, high-impact, AI-Native consulting firm building at the intersection of Data and AI. We leverage cutting-edge AI to build custom, production-grade systems for our clients. We move fast, learn faster, and believe grit beats polish every time. We ship real systems, not just decks. We take pride in solving hard problems with clarity, accountability, and craft.

The Role: The Multi-Tool Engineer

At Fastloop, our Technical Consultants (TC) are our engine. We are looking for a code-first generalist who can bridge the gap between a raw data lake and a functional, agentic AI application.

You aren’t just a “Data Engineer” or a “Software Engineer”; you are the “connective tissue” of modern intelligence. You will be responsible for the programmatic development of Agentic workflows, GenAI pipelines, and the cloud-native infrastructure that powers them and the integration of these systems into existing business processes to drive measurable operational impact.

A TC typically owns the technical execution across 1-3 client projects simultaneously.

What You’ll Do

Agentic Engineering & GenAI Workflows
Build Intelligent Agents: Design and build agent architectures and reasoning loops (ReAct, Chain of Thought, Plan-and-Solve) using Google ADK, Vertex AI Agent Builder, LangChain, or LlamaIndex.
Advanced RAG & Search: Architect Retrieval-Augmented Generation (RAG) pipelines and enterprise search indexing using Vertex AI Search and Vector Databases.
LLM Integration: Orchestrate prompts, context management, and tool-calling for models like Gemini Enterprise.
Data Foundation & AI Pipelines
Automated Ingestion: Develop custom pipelines for ingesting and enriching structured and unstructured data (PDFs, text, logs) into GCS or BigQuery.
Data Engineering for AI: Write advanced SQL and automate dbt/Dataform pipelines to ensure data is “AI-ready.”
MLOps & Observability: Implement CI/CD for model updates and set up AI observability/eval frameworks (eg. RAGAS, Vertex Eval) to detect and prevent hallucinations.
Integration & Cloud-Native Development
Inference Layer & APIs: Design and build scalable backend services and RESTful APIs using Python (FastAPI, Flask) to expose AI capabilities (AIaaS).
Infrastructure as Code (IaC): Architect and deploy end-to-end GenAI infrastructure (Vertex AI, Cloud Run, Cloud SQL) entirely through Terraform.
Cross-Cloud Generalist: While we lean heavily on GCP, you maintain the “Generalist Edge” by ensuring solutions can be adapted to Azure or hybrid environments.
Process & Workflow Integration: Build event-driven architectures that trigger AI actions based on business events (eg. Pub/Sub, Webhooks, or Cloud Scheduler). Use Cloud Workflows or custom Python logic to orchestrate multi-step business processes.
Legacy & Tool Integration: Connect AI agents to “real world” tools – CRMs, ERPs, or custom proprietary databases – via secure API orchestration to allow agents to take action, not just provide answers.
Agile Execution & Quality
Daily Contribution: Own your stories from refinement to production. Validate technical feasibility, identify constraints early, and document technical tasks/DoD.
Testing & Validation: Prepare environments and test automation for UAT. Execute technical validation and resolve defects to ensure endpoints deliver business value.

Consultant’s Mindset: Effectively communicate technical trade-offs (e.g., speed vs. scalability) to both technical leads and non-technical stakeholders

Your Technical Toolkit

AI & GenAI Expertise: Proven experience with LLMs (Gemini preferred), prompt engineering, and context window management.
Agentic Frameworks: Hands-on with Google ADK, LangChain, or LlamaIndex.
Modern Databases: Expert SQL. Experience with pgvector, Pinecone, or Qdrant, alongside BigQuery and PostgreSQL.
Cloud & DevOps: Mastery of GCP (Cloud Run, GKE, Pub/Sub, IAM). Strong proficiency in Terraform and GitHub Actions. Experience with Event-driven architecture (Pub/Sub, Eventarc) and Workflow Orchestration (Google Cloud Workflows, Airflow, or Step Functions).
Backend: Advanced Python (FastAPI/Django). Familiarity with Document AI or unstructured data parsing is a plus.
Frontend Support: Ability to build lightweight internal UIs (Streamlit, React) for agent-facing dashboards or prototypes.

Background

3-6 years as a Cloud, AI, or Backend Engineer in a high-intensity environment.
You are a generalist who can be a SQL wizard in the morning, an AI/Python dev in the afternoon, and write IaC by end-of-day.
You don’t just write code; you own the technical outcome and the “definition of done.”
You understand that an AI model is useless if it doesn’t fit into the client’s actual workday. You take pride in ensuring the “plumbing” between the AI and the business process is seamless and robust.
Demonstrated ability to switch between different client environments and tech stacks multiple times a day without losing focus.

Preferred Experience & “Nice To Haves”

While the core of our stack is GCP-native AI, the ideal Fastloop consultant is a platform-agnostic problem solver. We value the following “extra gears”:

Multi-Cloud & Hybrid Expertise: Hands-on experience with Azure (Azure OpenAI Service, AI Search) or AWS (Bedrock, Sagemaker) to support clients in multi-cloud environments.
AI Observability & Reliability: Experience with evaluation frameworks (eg. RAGAS, Vertex Eval) and observability tooling to detect and prevent LLM hallucinations or drift.
Advanced Agentic Reasoning: Deep understanding of advanced reasoning techniques such as Chain of Thought (CoT), ReAct, or Plan-and-Solve architectures.
Data Science Lite: Experience with Google Document AI or advanced unstructured data parsing libraries for complex RAG preparation.
Frontend Fluency: Experience with React, Angular, Streamlit or Gradio for building polished internal prototypes or agent-facing interfaces.
Industry Context: Previous experience in Energy sectors or Heavy Industry helping you understand the business logic behind the data.
Professional Certifications: Google Cloud Professional ML Engineer, Cloud Developer, or Azure Solutions Architect certifications.

The Grit Factor

At Fastloop, we move fast. We are looking for a consultant who understands that:

Ambiguity is an Opportunity: You don’t wait for a perfectly groomed Jira ticket. You fill in the blanks and keep moving.
Troubleshooting is tenacious: When a pipeline fails or an API returns a 500, you dive into the logs and find the root cause rather than waiting for instructions.
Outcome is more important than Ego: You value shipping a working system in the real world over achieving “theoretical perfection” on a whiteboard.
We are built to build: You are energized by hard problems, real constraints, and production accountability.

Ready to join? Apply today.

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More about this job

Responsibilities

Build and integrate agentic AI workflows, RAG pipelines, data ingestion and preparation systems, backend APIs, and cloud-native infrastructure for client projects. Own technical delivery from planning through production, including testing, observability, workflow integration, and communication of technical trade-offs.

Requirements

The role seeks a generalist with 3–6 years of experience as a cloud, AI, or backend engineer, strong Python and SQL skills, and hands-on experience with LLMs, agent frameworks, and GCP. Candidates should be comfortable with Terraform, data and workflow orchestration, production testing, and adapting to different client environments; multi-cloud experience and relevant certifications are preferred.

Skills

Python
SQL
Generative AI
Agentic AI
Retrieval-Augmented Generation
Google Cloud Platform
Terraform
FastAPI
LangChain
LlamaIndex
Vertex AI
BigQuery
PostgreSQL
CI/CD
Event-Driven Architecture
REST APIs

Visa sponsorship

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Keywords

Google Cloud Platform
Vertex AI
Google ADK
Gemini
LangChain
LlamaIndex
Agentic Workflows
Generative AI
Retrieval-Augmented Generation
Vector Databases
BigQuery
PostgreSQL
pgvector
Pinecone
Qdrant
Python
FastAPI
Flask
Terraform
GitHub Actions
Cloud Run
Google Kubernetes Engine
Pub/Sub
Eventarc
Google Cloud Workflows
Airflow
RAGAS
Vertex Eval
Azure OpenAI Service
AWS Bedrock

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Jobs in Canada