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Added 15 mins ago
S
Asset Protection Partner
sephora.com
Victoria, BC
- $25 to $30 CAD / hour
- Full-time
Testify in court on behalf of the company, in any case, criminal or civil, to which the Agent is summoned.
Added 20 mins ago
ER
Customer service agent
Enterprise Rent A Car
Goffs, NS
- From $17 CAD / hour
- Part-time
- Temporary
- On-site
Added 21 mins ago
WW
Customer service agent
Wood Wyant
Dartmouth, NS
- $24.5 to $26 CAD / hour
- Full-time
- On-site
Added 30 mins ago
MP
Sales Property Consultant (Dubai Based)
McCone Properties
Winnipeg, MB
- Full-time
Our average agent earned US$112,000 last year, tax free - the US$2.9 million is our best, not our typical. Commission only means no salary, so bring around six months of savings to see you…
Added 30 mins ago
MP
Real Estate Agent – No Experience Needed (Dubai)
McCone Properties
Winnipeg, MB
- Full-time
The average agent here earned US$112,000 last year, tax free; US$2.9 million is our best year, not the usual one. There is no salary, so arrive with around six months of savings while you…
Added 45 mins ago
TC
Loss Prevention Store Security Agent
TJX Companies
Halifax, NS
- Full-time
We're seeking a Loss Prevention Store Security Agent to help create a safe, secure, and welcoming environment in our stores. In this impactful role, you’ll be instrumental in theft…
Added 50 mins ago
DA
Car rental agent
D-Drive Autohouse Inc
Markham, ON
- From $1,800 CAD / month
- Full-time
- On-site
Added 1 hour ago
GS
Athlete Advisor & Sales Closer - Football / Sports
GameTime Sports Marketing
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
High-performing individuals may have the opportunity to grow into a larger Athlete Advisor / GameTime Athlete Agent role, including building their own portfolio and presence within the…
Added 1 hour ago
RI
Damage Insurance Agent (Bilingual)- EN
RBC Insurance
Montreal, QC
- Full-time
Added 1 hour ago
M
Cloud Solution Architect (CSA) - Cloud & AI Data
Microsoft
Ottawa, ON
- Full-time
…and database solutions that enable production-scale AI and agent scenarios. You’ll lead technical engagements across architecture design, proof of concepts, and production deployments,…
Added 1 hour ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Experience with Dynamics CRM Customer Service Workspace, Agent experience profile, Session templates, workstream, and routing.
Added 1 hour ago
Z
LLM Engineer
ZS
Toronto, ON
- Full-time
Strong experience in LLM patterns like RAG, Vector DB, Hybrid Search, Agent development, Agentic workflows, prompt engineering, etc.
Added 1 hour ago
B
Senior Agentforce Architect
bubblestack
Vancouver, BC
- Full-time
…leading the design and implementation of Agentforce and AI agent solutions on the Salesforce platform. This role includes defining scalable architectures, guiding end-to-end solution…
Added 1 hour ago
O
AI Automation Engineer
Osmow's
Mississauga, ON
- Full-time
Claude Code, MCP or agent frameworks such as Pydantic AI or LangGraph.
Added 1 hour ago
HG
Front desk agent
Hilton Garden Inn Halifax Airport
Enfield, NS
- From $16.75 CAD / hour
- Full-time
- On-site
Added 2 hours ago
MT
front desk agent
Manitoulin Transport
Little Current, ON
- Full-time
Added 2 hours ago
FN
Mortgage Underwriter, Third Party Residential Underwriting – BMBE
First National Financial LP
Toronto, ON · East York, ON
- Full-time
Completion of Mortgage Agent Course and/or FICOM License an asset
Added 2 hours ago
RI
Damage Insurance Agent (Bilingual)- EN
RBC Insurance
Quebec, QC
- Full-time
Added 2 hours ago
PC
Manager, Threat Hunting & Incident Response
PwC Canada
Toronto, ON · North York, ON
- Full-time
Added 2 hours ago
CL
FULLSTACK AI DEVELOPER
Collège LaSalle, Montréal
Portage-du-Fort, QC
- Full-time
…develop, and deliver software solutions by leveraging advanced agent coding workflows. You will join a team that already operates a custom Claude Code multi-agent setup in production. You…
Added 2 hours ago
SR
Senior Software Engineer
Strive Robotics
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…execute, and improve physical workflows. You will work across agent orchestration, robot application software, cloud services, and the data systems connecting…
Added 2 hours ago
SR
Software Engineer
Strive Robotics
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Implement agent planning, tool use, execution tracking, verification, and recovery capabilities using modern language, vision, and multimodal models.
Added 2 hours ago
BC
Business Systems Analyst - Contact Center
BrainRidge Consulting
Toronto, ON
- Full-time
…delivery teams. You’ll turn complex requirements for routing, IVR, agent desktops and omnichannel journeys into detailed functional and technical specifications. This role suits someone who…
Added 2 hours ago
FI
QA Analyst
Fellow Insights Inc.
Remote, Canada
- Full-time
- Remote
A track record of improving how a QA team tests with AI: prompts, agent workflows, investigation checklists, or release checks that made the team faster while keeping releases trustworthy.
Added 2 hours ago
RB
Staff Data Scientist, AI Evaluations Platform
Royal Bank of Canada
Montreal, QC
- Full-time
…science function responsible for how RBC measures model and agent quality, safety, risk, and performance. You will design, build, and continuously improve evaluation datasets, sourcing…

Fastloop

Technical Consultant (Data & AI)

Vancouver, BC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Oct 30, 2026
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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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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