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Added 4 mins ago
ET
Senior Analog Design Engineer
ESS Technology, Inc.
Kelowna, BC
- Full-time
As a Senior Analog Design Engineer, you will be a key technical contributor within the analog design group, responsible for the following:
Added 4 mins ago
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Senior Electrical, Instrumentation & Controls Engineer
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- Full-time
Read, interpret and comment on engineering documents, including P&IDs, GAs, process design
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Senior Electrical, Instrumentation & Controls Engineer
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Oakville, ON
- Full-time
Read, interpret and comment on engineering documents, including P&IDs, GAs, process design
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Delivery Manager / Senior Delivery Manager for Financial Services
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Toronto, ON
- Full-time
…create efficiencies. EPAM may use AI during the recruitment process, in connection with collecting or processing your personal data. Some (non-exhaustive) examples of tasks that EPAM may…
Added 3 hours ago
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OCS Senior Engineer
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Embedded Software Engineer
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Solution Architect
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Canada
- Full-time
…create efficiencies.EPAM may use AI during the recruitment process, in connection with collecting or processing your personal data. Some (non-exhaustive) examples of tasks that EPAM may use…
Added 4 hours ago
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Mining and Industrial Water Treatment Engineer
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- $115,000 to $180,000 CAD / year
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AECOM is seeking a Mining and Industrial Water Treatment Engineer to provide technical leadership in the design and upgrading of water treatment infrastructure for mining and industrial…
Added 4 hours ago
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Building Coordinator
SYSTRA
Montreal, QC
- Full-time
Professional Engineer (P.Eng.) or Registered Architect (or eligibility in Canada) is considered as an asset
Added 4 hours ago
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Scaffold Engineer in Training (EIT)
Matakana Scaffolding Inc
Burnaby, BC
- Full-time
…perform engineering work under the supervision of a Professional Engineer while gaining the experience required for professional…
Added 5 hours ago
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Graduate Engineer
Voe Marine
Engineer, BC
- Full-time
As a Voe Engineer: naval / structural / mechanical you will make a valuable contribution towards a wide variety of interesting projects spanning the full breadth of our portfolio.
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Technology Engineer
GEM motors d.o.o.
Engineer, BC
- Full-time
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Engineer
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Engineer, BC
- Full-time
As a Voe Engineer: naval / structural / mechanical you will make a valuable contribution towards a wide variety of interesting projects spanning the full breadth of our portfolio.
Added 5 hours ago
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Designer, Development (Service)
Husky Technologies
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The service team is currently seeking a Mechanical engineer/designer to specialize in resolving service issues.
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Applications Engineer
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Bolton, ON
- Full-time
Strong understanding of injection molding systems, including machine technology, mold design, hot runner systems, and process optimization principles.
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Product Development Engineer
Husky Technologies
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Our Development Engineering team is looking to hire an experienced Product Development Engineer. The successful candidate will lead the technical development of packaging products working…
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Software engineer
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Toronto, ON
- From $57 CAD / hour
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Added 6 hours ago
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Analyst Intern (Nuclear)
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Ottawa, ON
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Program implementation: Develop a robust process for CAPA resolution to be implemented in the 3 North American plant.
Added 7 hours ago
Specialist, CAPA
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Effectiveness Verification: Develop and execute testing protocols to verify that process changes permanently eliminate design or manufacturing defects.
Added 9 hours ago
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Technical Design Manager (Grid)
CATL
Canada
- Full-time
…stakeholders, and have the capability and credibility to design, engineer, and commission HV and MV substations and cable. Working with the Directors and other members of the Land/planning…
Added 9 hours ago
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Senior Landfill Gas Engineer
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Cambridge, ON
- Full-time
As a Landfill Gas Engineer with WSP, you will play a key role in shaping how communities across Ontario - and Canada - manage waste sustainably for generations to come. This is your…
Added 9 hours ago
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Senior Landfill Gas Engineer
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Mississauga, ON
- Full-time
As a Landfill Gas Engineer with WSP, you will play a key role in shaping how communities across Ontario - and Canada - manage waste sustainably for generations to come. This is your…
Added 9 hours ago
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Senior Project Manager – Conventional Signaling
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- $170,000 to $220,000 CAD / year
- Full-time
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Added 9 hours ago
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Vice President, EC6 Product Development
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Mississauga, ON
- Full-time

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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