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Added 9 mins ago
IG
Machine Learning Engineer
IMCS Group
ON · Ontario, Canada
- Contract
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 6+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 10 mins ago
Logistics Engineering Specialist
Siemens
Concord, ON
The Logistics Engineer is responsible for analyzing, designing, implementing, and continuously improving material-flow and logistics processes across warehouse, receiving, production,…
Added 10 mins ago
F
Technical Support Specialist
Fortinet
Burnaby, BC
- Full-time
The engineer will also interface with our QA and software development team to solve customer problems and identify bugs through replication and testing. Wherever possible, the products…
Added 24 mins ago
ED
Sr Software Developer (Lead) - EN 178
Export Development Canada | Exportation et développement Canada
Ottawa, ON
- $96,557 to $128,743 CAD / year
- Full-time
At EDC, we support Canadian businesses to succeed globally. We provide the financial tools and expertise they need to explore new markets, reduce risks, all towards the goal of making…
Added 24 mins ago
MM
Reliability Engineer / Project Engineer
Mohebi Martin Brower Logistics LLC
New Westminster, BC
- Full-time
Primary role of the Reliability/ Project Engineer is to identify, manage, improve equipment run time and preventative maintenance program. At the same time, the role requires hands-on work…
Added 25 mins ago
JC
Shift Engineer/ Building Operator
Johnson Controls
Kelowna, BC · Interior Heart and Surgical Centre
- Full-time
The O&M Stationary Engineer/Building operator is responsible for the maintenance and repair of Hospital infrastructure equipment This includes areas in and out of the Central Utility Plant…
Added 25 mins ago
E
Engineer in Training I
Enbridge
Edmonton, AB
- Full-time
…excellence and innovation. We are seeking a Pipeline Integrity Engineer-in-Training I to join our…
Added 25 mins ago
Specialist Systems, IT
City of Mississauga
Mississauga, ON
…administration. Experience with Azure DevOps, scripting, AI-assisted tools and automation is also desirable. Occasional work outside regular business hours is a requirement of the position.…
Added 40 mins ago
GV
Lead Power Systems Protection & Control Application Engineer (Part Time)
GE Vernova
Markham, ON
- Part-time
…generation of power system protection. As a Lead Application Engineer, you will bridge the gap between complex power system theory and real-world algorithm implementation, playing a pivotal…
Added 40 mins ago
M
Software Developer, Robotic Data & Deliveries
Mecka
Richmond Hill, ON
- $150,000 to $200,000 USD / year
- Full-time
You’ve been an early or founding engineer, built internal tools teams loved, or shipped side projects end to end.
Added 54 mins ago
ES
Data Engineer - DBT Cloud and Snowflake
Enterprise Solutions Inc.
Markham, ON
- Contract
Job Title - Data Engineer - DBT Cloud and Snowflake
Added 54 mins ago
FD
AI Engineer
Frontier Dental CA
Markham, ON
- Full-time
We’re seeking an AI Engineer to help shape the future of Frontier Dental through practical AI adoption and business automation.
Added 54 mins ago
CO
Specialist Systems, IT
City of Mississauga
Mississauga, ON
- Full-time
…administration. Experience with Azure DevOps, scripting, AI-assisted tools and automation is also desirable. Occasional work outside regular business hours is a requirement of the position.…
Added 54 mins ago
T
Machine Learning Engineer
TEEMA
Toronto, ON
- $115,000 to $120,000 CAD / year
- Full-time
We are looking for an experienced MLOps / DevOps Infrastructure Engineer with strong cloud, automation and software delivery experience. This role combines hands-on AWS/GCP infrastructure,…
Added 54 mins ago
H
Lead Mechanical Engineer
Hydrostor
Toronto, ON
- $150,000 to $190,000 CAD / year
- Full-time
…long-duration energy storage solutions, is seeking a Lead Mechanical Engineer - Static to join our team in Toronto. We’re supporting the development of a more resilient electricity grid and…
Added 54 mins ago
W
AI Engineer/Developer
W3Global
Toronto, ON
- $60,000 to $68,000 CAD / year
- Full-time
Implement CI/CD pipelines using GitHub Actions, Jenkins, AWS CodePipeline, or similar tools.
Added 1 hour ago
C
Senior Python Engineer
Citi
Mississauga, ON
- Full-time
Exposure to AI/ML tools and frameworks (TensorFlow, PyTorch, scikit-learn).
Added 1 hour ago
GV
Lead Power Systems Protection & Control Application Engineer (Part Time)
GE Vernova
Markham, ON
- Part-time
…generation of power system protection. As a Lead Application Engineer, you will bridge the gap between complex power system theory and real-world algorithm implementation, playing a pivotal…
Added 1 hour ago
SR
Senior Software Engineer
Sage Recruiting Inc.
Toronto, ON
- $180,000 to $220,000 CAD / year
- Full-time
…You’ll test ideas with utility partners and refine them into tools the industry will actually use. The work can be ambiguous, partly because customers don’t always know what they need until…
Added 1 hour ago
VC
Staff Software Engineer
Valsoft Corporation
Remote, Canada
- Full-time
- Remote
We're hiring a Staff Software Engineer to own architecture and design decisions for our platform, including the modernization of legacy enterprise systems into modern, cloud-capable…
Added 1 hour ago
Software Development Engineer, Rendering Foundations
Amazon
Vancouver, BC
Are you excited by how AI agents are changing the way customers shop? Do you want to help build the tools that let developers and AI agents create Amazon's shopping experiences, and the…
Added 1 hour ago
GS
Electrical Engineer/Designer
Grantek Systems Integration
Burlington, ON
- Full-time
The Electrical Engineer/Designer at Grantek is an exciting opportunity for an intermediate to senior-level professional with a strong background in electrical design and industrial control…
Added 1 hour ago
EI
Field Engineer - Tunnel & Underground
EBC Inc.
Vancouver, BC
- Full-time
We are looking for a Tunnel Field Engineer to join our Stanley Park project in Vancouver.
Added 1 hour ago
VT
AI Platform Developer
Volgo Technologies
Toronto, ON
- Contract
We are looking for a hands-on engineer who can build and deploy production-grade Agentic AI and multi-agent systems using Google ADK and MCP, while developing scalable AI platform…
Added 1 hour ago
S
Engineering Lead – Structural
SYSTRA
Montreal, QC
- Full-time
Reporting to the Facilities Design Director, within the Co-Development Phase of the ALTO programme, the Engineer Lead will provide technical governance, lead design, coordination and…

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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