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Added 2 hours ago
Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
Full-time
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…
Added 2 hours ago
Lead QA Engineer
Royal Bank of Canada
Toronto, ON
Full-time
The successful candidate will work closely with Emerging Payments development teams, architects, DevOps teams, Product Owners, and technology partners to improve engineering efficiency,…
Added 5 hours ago
Sr. Automation QE
Tata Consultancy Services
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
Integrate automated tests into CI/CD pipelines using Jenkins, GitHub Actions, Azure DevOps, or equivalent platforms.
Added 6 hours ago
Automation Tester (Python & Playwright)
Cognizant
Toronto, ON
$60,000 to $90,000 CAD / year
Full-time
Experience with CI/CD tools such as Jenkins, Azure DevOps, or GitHub Actions.
Added 7 hours ago
Platform Engineer/ Financial
Motion Recruitment
Toronto, ON
Contract
This Platform Engineer opportunity sits within a large, highly regulated enterprise undergoing significant software delivery and platform modernization. The role is focused on improving…
Added 9 hours ago
DevOps Engineer, New Grad
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. As a New Grad DevOps Engineer, you will help build and operate the infrastructure behind our AI-powered job search platform, focusing on…
Added 10 hours ago
Devops Engineer - Cloud Migration
Apex Systems
Toronto, ON
$55 USD / hour
Contract
DevOps Engineer (Python, Azure, Kubernetes, CI/CD)
Added 10 hours ago
Software Engineer II
TD
Toronto, ON
Full-time
AI Tool Fluency: Ability to safely use AI assistants (like Github Copilot) to accelerate delivery while possessing the deep system knowledge required to debug, audit and correct AI…
Added 11 hours ago
Cloud Platform Engineer
Swoon
Toronto, ON
Contract
We are seeking a Cloud Platform Engineer to join our Infrastructure-focused Platform Engineering team. In this role, you will work closely with senior platform engineers and…
Added 12 hours ago
DevOps Engineer (On-Premises)
Zodiac Solutions, Inc
Halifax, NS
Full-time
Role: Solution Engineer with (GitHub Actions) / DevOps Engineer
Added 13 hours ago
Data Science Developer
Transit
Montreal, QC
$90,000 to $125,000 CAD / year
Full-time
…hybrid working arrangement before; or (2) are a senior data engineer currently yearning for the (metaphorical) white lab coat that will let you conduct lots of “data science-y” experiments…
Added 14 hours ago
AI Engineer With Python - 8 Years
J2B Global LLC
Mississauga, ON
Full-time
Knowledge of CI/CD using Jenkins or GitHub Actions, along with DevOps/GitOps practices.
Added 14 hours ago
DevOps Engineer, New Grad
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. As a New Grad DevOps Engineer, you will help build and operate the infrastructure behind our AI-powered job search platform, focusing on…
Added 14 hours ago
Senior DevOps Engineer – HPC / EDA / SLURM- #26-24242
US Tech Solutions
Vancouver, BC
$55 to $60 USD / hour
Contract
Client is seeking a Senior DevOps Engineer supporting our High Performance Computing (HPC) and Electronic Design Automation (EDA) infrastructure team. This role will work directly within…
Added 15 hours ago
Platform Engineer
SPECTRAFORCE
Toronto, ON
$100 to $110 CAD / hour
Contract
We are seeking an experienced Platform Engineer to support a global transaction banking platform within a large financial services environment. This role will focus on platform engineering,…
Added 15 hours ago
Senior Software Engineer – DevTest / QA Automation
EngRadar
Toronto, ON
Full-time
Kaseya is seeking a Senior Software Engineer – DevTest / QA Automation to design, build, and maintain robust automated testing capabilities across enterprise software platforms.
Added 16 hours ago
Lead QA Automation Engineer
INFOYA
Toronto, ON
$100,000 to $110,000 CAD / year
Full-time
Engineer to drive the quality strategy, design scalable automation
Added 16 hours ago
Senior DevSecOps & AI Security Engineer
Ardent SoftSol Inc.
Toronto, ON
Contract
We are looking for an experienced Senior DevSecOps & AI Security Engineer to strengthen enterprise security across applications, cloud-native platforms, DevSecOps pipelines, and…
Added 16 hours ago
Senior AI Engineer
Tundra Technical Solutions
Toronto, ON
$80 to $100 CAD / hour
Contract
We are looking for a Senior AI / Generative AI Engineer to design, build, and scale production-grade AI systems and intelligent agents, integrating advanced AI capabilities into enterprise…
Added 16 hours ago
Senior Frontend Engineer
Arkion Identity Systems
Toronto, ON · Greater Toronto Area, Canada
Full-time
We're looking for a Senior Frontend Engineer who thrives in early-stage environments and loves building UIs from the ground up. As the first frontend hire, you'll take full ownership of the…
Added 16 hours ago
Lead Engineer - Azure Databricks @ Burnaby, Vancouver _ Canada - Hybrid
BURGEON IT SERVICES
Vancouver, BC
Contract
DevOps: Git, Azure DevOps/GitHub Actions, Terraform/Bicep
Added 16 hours ago
Senior DevOps Engineer – GitHub & Azure DevOps
Yochana
Toronto, ON
Contract
Title: Senior DevOps Engineer – GitHub & Azure DevOps (Fulltime)
Added 17 hours ago
Full Stack Engineer
ALTEN Canada
ON · Ontario, Canada
Other
Develop and evolve DevOps tooling and practices for the team
Added 17 hours ago
Senior Azure Databricks Consultant
BURGEON IT SERVICES
Burnaby, BC
Contract
Build CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for jobs, notebooks, and infrastructure-as-code (Terraform/ARM/Bicep).
Added 17 hours ago
Senior DevSecOps & AI Security Engineer
Querentia
Toronto, ON
Contract
We are seeking an experienced Senior DevSecOps & AI Security Engineer to strengthen security across applications, cloud-native platforms, DevSecOps pipelines, and AI/LLM-based solutions.…

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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