Jobs in Canada

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Added 22 mins ago
Full Stack Software Engineer, New Grad
Jobright.ai
Canada
Full-time
…do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step and accelerating your route to the best job outcomes. As a New Grad Full…
Added 1 hour ago
Head of Software & Perception
SkyCan Systems
Toronto, ON
Full-time
…verification of auto-generated (model-based) flight code by an engineer who did not author the source model. Represent software at PDR, CDR, TRR, and safety…
Added 1 hour ago
Civil Project Manager
Dillon Consulting Limited
Concord, ON
Full-time
Registered as a Professional Engineer (P.Eng.) in Ontario.
Added 1 hour ago
Civil Designer
Dillon Consulting Limited
Concord, ON
Full-time
Expert knowledge of AutoCAD Civil 3D, Subdivision and Site Plan Design
Added 2 hours ago
Senior Water Resources Engineer
Dillon Consulting Limited
Guelph, ON · Hamilton, ON · Kingston, ON · Kitchener, ON · Oakville, ON · Toronto, ON · Windsor, ON · North York, ON
Full-time
Dillon's Water Resources team is seeking a Senior Water Resources Engineer to become an integral part of our multidisciplinary group of professionals. This is your chance to dive into…
Added 2 hours ago
Technology - Brokerage Engineering - Principal Software Engineer
Questrade Financial Group
Toronto, ON
We’re looking for our next Principal Software Engineer. Could It Be You?
Added 4 hours ago
Lead Full Stack Developer
Royal Bank of Canada
Toronto, ON
Full-time
This Engineer is an expert professional with deep expertise or unique industry knowledge who uses in depth skill sets to contribute to development of company objectives and principles and…
Added 4 hours ago
Senior Direct Response Marketer
MM Coaching Limited
Remote, Canada
Contract · Remote
Email marketing expert: daily broadcasts, sequences, deliverability, and revenue attribution, not just open rates
Added 6 hours ago
Staff AI Engineer (Global Security)
Royal Bank of Canada
Toronto, ON
Full-time
We're looking for an experienced Staff AI Engineering (Global Security) expert who will bring
Added 7 hours ago
Principal Engineer, Cyber Technology Operations SRE (Global Security)
Royal Bank of Canada
Vancouver, BC · Toronto, ON
Full-time
…to move at a faster pace being more prevalent, the Principal Engineer, Cyber Technology Operations SRE will ensure that security technologies, services and controls are streamlined,…
Added 9 hours ago
Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
Full-time
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…
Added 13 hours ago
Analyste/ingénieur principal ou principale en cybersécurité OT
Alithya
Pickering, ON
Full-time
Consult with clients as an OT Cyber Subject Matter Expert (SME);
Added 14 hours ago
Machine Learning Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
…job search. They are seeking an Early Career Machine Learning Engineer to design, build, and maintain scalable infrastructure for AI agents, as well as optimize data processing and develop…
Added 14 hours ago
Machine Learning Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
…job search. They are seeking an Early Career Machine Learning Engineer to design, build, and maintain scalable infrastructure for AI agents, as well as optimize data processing and develop…
Added 14 hours ago
Python Engineer, New Grad
Jobright.ai
Canada
Full-time
…do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step and accelerating your route to the best job outcomes. As a Python…
Added 14 hours ago
Technical Lead, Innovation
Croesus
Laval, QC
Full-time
…process, but someone who sets the technical bar by being the best engineer in the room, and who is genuinely obsessed with how good software gets…
Added 14 hours ago
Technical Lead, Innovation
Croesus
Montreal, QC
Full-time
…process, but someone who sets the technical bar by being the best engineer in the room, and who is genuinely obsessed with how good software gets…
Added 15 hours ago
DevOps Engineer, New Grad
Jobright.ai
Canada
Full-time
…do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step and accelerating your route to the best job outcomes. As a New Grad…
Added 16 hours ago
Python Engineer, New Grad
Jobright.ai
Canada
Full-time
…do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step and accelerating your route to the best job outcomes. As a Python…
Added 16 hours ago
Staff AI Engineer (Global Security)
RBC
Toronto, ON
Full-time
We're looking for an experienced Staff AI Engineering (Global Security) expert who will bring
Added 16 hours ago
Cybersecurity Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
…do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step and accelerating your route to the best job outcomes. They are seeking an…
Added 16 hours ago
QA Engineer (Early Career) (Canada)
Jobright.ai
Canada
Full-time
…do job search from solo, time-consuming efforts to a fast, expert-guided journey, simplifying every job search step and accelerating your route to the best job outcomes. They are seeking a…
Added 17 hours ago
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
Contract · Remote
We’re hiring a Senior Machine Learning Engineer to architect, build, and deploy high-performance machine learning systems that power technology stack. You will work across the entire ML…
Added 17 hours ago
Software Engineer II
TD
Toronto, ON
Full-time
Subject matter expert and consults with clients, team, and/or project team to provide technical guidance and highly complex troubleshooting/problem resolution.
Added 18 hours ago
Principal Software Engineer (IAM)
Black Duck
Calgary, AB
Full-time
Black Duck is seeking a Principal Software Engineer to serve as a technical leader for the company's identity, authentication, authorization, and access management platforms. This role will…

Fastloop

Technical Consultant (Data & AI)

Vancouver, BC, Canada

Job type: Full-time
Apply by: Oct 3, 2026
Posting language: English
Posted: Jun 10, 2026

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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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Responsibilities

Build and integrate production-grade AI agents, GenAI and RAG pipelines, data foundations, APIs, and cloud infrastructure for client projects. Own technical delivery from planning through testing and production, connecting AI systems to business workflows and existing tools.

Requirements

The role seeks a generalist with 3–6 years of cloud, AI, or backend engineering experience, advanced Python and SQL skills, and hands-on experience with LLMs, agent frameworks, and GCP. Candidates should be able to build and deploy cloud-native systems with Terraform, integrate AI into business processes, and communicate technical trade-offs to varied stakeholders.

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
LangChain
LlamaIndex
Gemini
Retrieval-Augmented Generation
Vector Databases
BigQuery
PostgreSQL
pgvector
Pinecone
Qdrant
Python
FastAPI
Flask
Terraform
GitHub Actions
Cloud Run
Google Kubernetes Engine
Pub/Sub
Google Cloud Workflows
Dataform
dbt
RAGAS
Vertex Eval
REST APIs
Event-Driven Architecture
Document AI
Azure OpenAI Service

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