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Added 5 days ago
TI
Quality Engineer
Tekgence Inc
Brampton, ON
- Contract
Job Description: Title Quality Engineer (QE) SDET AI Chatbot Validation Key Roles Responsibilities Validate chatbot responses for accuracy| relevance| completeness| and consistency. Create…
Added 5 days ago
C
Senior AI Engineer
Chubb
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are looking for an AI Engineer who has shipped ML and LLM systems, built quality and observability tooling around them in production, and is ready to go deeper on that problem at scale.…
Added 5 days ago
HR
AI Forward Deployed Engineer - CRM & Marketing
Hard Rock Digital
Remote, Canada
- Full-time
- Remote
We're hiring an AI Forward Deployed Engineer to build agentic and generative AI for CRM and Marketing. You'll ship production features, not prototypes, that help us acquire, engage, and…
Added 5 days ago
ZS
Artificial Intelligence Engineer
Zodiac Solutions, Inc
Halifax, NS
- Full-time
…every teams development workflow runs on.If youre the kind of engineer who has already wired tools like Claude Code into your own workflow with custom skills and MCP servers to make…
Added 5 days ago
RC
Quality Engineer (QE) / SDET – AI Chatbot Validation
Realtek Consulting LLC
Toronto, ON
- Contract
Job Title: Quality Engineer (QE) / SDET – AI Chatbot Validation
Added 5 days ago
C
Engineer (Python/AWS + Azure/React) (Senior/NewGrad)
Caddie
Toronto, ON
- Full-time
The engine: containerised Python workers (FastAPI, NumPy, SciPy) that make the same decision on every machine
Added 5 days ago
Middle/Senior Forward Deployed Engineer (Python, AI)
Exadel
Canada
For the Senior Forward Deployed Engineer level, senior-level experience, including technical delivery leadership across multidisciplinary teams or pods.
Added 5 days ago
AT
AI Engineer
Altitude Technology Solutions Inc
Toronto, ON
- Contract
…orchestration, policy enforcement) following MCP protocol. Engineer robust guardrails for safety, compliance, and least-privilege…
Added 5 days ago
B
Senior Application Developer/Engineer
Bevertec
Toronto, ON
- Contract
Added 5 days ago
S
Head of Data Systems (Google Stack)
Stacktics
Toronto, ON
- Full-time
Added 5 days ago
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Senior Conversational Bot Engineer
Quantiphi
Toronto, ON
- Full-time
Proficiency in at least one of the following: Python, Node.js
Added 5 days ago
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Machine Learning Engineer
Hays
Toronto, ON
- Contract
We’re looking for a hands-on Machine Learning Engineer to develop and improve ML and deep learning models that power personalization across our retail ecosystem.
Added 5 days ago
I
Senior Electro-Optical Validation Engineer
Inpho
Ottawa, ON · Kanata, ON
- $175,000 to $200,000 CAD / year
- Full-time
We are seeking a Senior Electro-Optical Validation Engineer to lead characterization and validation of Inpho's next-generation InP-based optical components and photonic chips. This role…
Added 5 days ago
B
Software Engineer - Identity & Authorization
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
Added 5 days ago
B
Software Engineer - Identity & Authorization
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
Added 5 days ago
RB
Lead Agentic AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Strong Python backend - FastAPI, async, Pydantic, streaming responses
Added 5 days ago
TS
Analyst – Front Office Application Engineer
TD Securities
Toronto, ON
- Full-time
Global Equity Derivatives (GED) is seeking a highly motivated Front Office Application Engineer to support, enhance, and develop technology solutions used by our trading, sales, and…
Added 5 days ago
L
Security Engineer, Vulnerability Management & Security Operations
LiveKit
Canada
- Full-time
…their data and their business at risk. We are hiring a Security Engineer to build and run our vulnerability management and security operations program. Vulnerability management is a core…
Added 5 days ago
MA
Tech Lead - Snowflake & DBT
Mitra AI
Canada
- Contract
We are seeking a highly experienced, hands-on Lead / Principal Data Engineer with deep expertise in Snowflake, DBT, advanced SQL, and modern data engineering practices to support enterprise…
Added 5 days ago
SA
Forward Deployed Engineer
STAN AI
Toronto, ON · North York, ON
- $80,000 to $110,000 USD / year
- Full-time
This is a forward deployed engineer role, you own the technical health of your deployments end to end: when the AI gets something wrong, you find out why - digging through conversation…
Added 5 days ago
TT
Data Engineer (Basketball Strategy)
Toronto Tempo
Toronto, ON
- Full-time
…our community. We are seeking a dynamic and experienced Data Engineer (Basketball Strategy) reporting to the Assistant General Manager/SVP Basketball Strategy to join our team as of January…
Added 5 days ago
J
AI Engineer, Mid Level
Jobright.ai
Canada
- Full-time
…and helps users find better job outcomes. The Mid-Level AI Engineer designs, builds, evaluates, deploys, and operates machine learning and generative AI capabilities, including…
Added 5 days ago
L
Data Engineer
Luxoft
Canada
- Full-time
…into 2028. Our stack: Ruby on Rails, Node.js/TypeScript and Python services, PostgreSQL, Snowflake and AWS. We're looking for an autonomous data engineer to strengthen our data foundation…
Added 5 days ago
M
Software Engineer II
Microsoft
Vancouver, BC
- Full-time
As a Software Engineer II on the Excel Agent team, you will help design, build, and ship features that combine Excel’s core capabilities with agentic AI. You will own feature…
Added 5 days ago
M
Software Engineer II
Microsoft
Vancouver, BC
- Full-time
As a Software Engineer II on the Excel Agent team, you will help design, build, and ship features that combine Excel’s core capabilities with agentic AI. You will own feature…

Caddie

Engineer (Python/AWS + Azure/React) (Senior/NewGrad)

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Apr 21, 2027
Posting language: English
Posted: Oct 23, 2026

Original job description

Engineer (Full Stack)

New Grads from top Canadian schools also welcome.

Hybrid (preferably in Toronto) · Full-time · North American Eastern Time

ABOUT US

Caddie Intelligence builds software for analytical testing laboratories and other regulated industries.

WHAT WE'RE BUILDING

Something meaningful, in an industry that quietly touches billions of lives and almost nobody thinks about. The work inside it is slow, manual and consequential, and the decisions being made every day deserve to be faster, more consistent, and easier to stand behind.

THE ROLE: OWNERSHIP END TO END

One product, deployed in more than one place: our cloud on AWS, a customer's own Microsoft Azure environment, and, for the most restricted sites, a machine with no internet access. You own the product from the server to the screen.

The engine: containerised Python workers (FastAPI, NumPy, SciPy) that make the same decision on every machine

Instrument files: read the binary files laboratory instruments produce, and write Caddie's decisions back into them so the lab's own software still opens them

The review application: TypeScript and React, with SVG and Canvas charting over large datasets, Web Workers for heavy parsing, and exports to ZIP, XLSX and PNG

New test methods: turn a new laboratory test into a working module with the founders, following our written playbook

Cloud infrastructure: AWS (S3, SQS, ECS Fargate, RDS, KMS) today, with the same containers deployable to Azure (Container Apps or AKS, Blob Storage, Key Vault, Azure Database for PostgreSQL)

Customer-hosted deployments: packaging and releasing the application so it runs inside a customer's own cloud tenant, behind their firewall, with their data staying in their environment

Air-gapped deployments: the same containers on a Linux or Windows server with no internet, including signed, versioned offline updates

The record: immutable storage, hash-chained audit events and ten-year retention, in every environment

Multi-tenancy and security: PostgreSQL row-level security, IAM, SSO, secrets management

Delivery: Terraform, GitHub Actions CI/CD that blocks regressions, Playwright end-to-end tests, monitoring and logging

TECH STACK

Backend: Python, FastAPI, NumPy, SciPy, SQLAlchemy

Frontend: TypeScript, React, Vite, SVG, Canvas, Web Workers

Data: PostgreSQL, S3 / Azure Blob Storage

Containers: Docker, Docker Compose

Cloud: AWS (S3, SQS, ECS Fargate, RDS, KMS, IAM) and Microsoft Azure (Container Apps / AKS, Blob Storage, Key Vault, Azure Database for PostgreSQL, Entra ID)

Infrastructure and delivery: Terraform, GitHub, GitHub Actions

Testing: pytest, Playwright

Systems: Linux, Windows Server

WHAT YOU'LL NEED

Strong Python and strong TypeScript / React. You are at home on both sides, not visiting one of them

SQL and PostgreSQL well beyond basic CRUD

Hands-on Docker and containerised deployment

Production experience on AWS, and Microsoft Azure

Infrastructure as code with Terraform, and CI/CD pipelines in GitHub Actions

You have shipped software that runs in someone else's environment, not just your own cloud

You have built a data-heavy interface that stays fast, not a CRUD app with a chart library dropped in

You use AI coding tools hard, and you are ruthless about reviewing what they write (Cursor, Claude Code, Codex, etc.)

NICE TO HAVE

Signal processing, chromatography or other scientific data

Regulated software: audit trails, data integrity, validated systems

Air-gapped installs, Windows Server administration

WHO YOU ARE

A critical thinker who pushes back

Proactive. Nobody is going to hand you a ticket

Wants ownership of the schema, the screen, the server and the alarm that wakes you up

Fast without being sloppy

Able to handle adversity

Someone who has the desire to be great

NOT REQUIRED

A specific number of years. We care whether you can do the work, not how long you have been doing it

Any degree or higher education

WORKING HERE

A direct line to the founders. No waiting a week for a decision

Fast paced environment, team retreats, and your voice and ideas heard

You see the whole company, not a slice of it: commercial, technical and strategic

Access to the network behind us: investors, operators and advisors who have built and sold companies in this space

You grow as the company grows, and you will be able to point at the parts that are yours

Caddie is backed by ERA, the New York accelerator.

Email: founders@caddieintelligence.com

Apply About employer

More about this job

Responsibilities

Build and own a full-stack product spanning Python services, a data-heavy React application, cloud infrastructure, and customer-hosted or air-gapped deployments. Develop laboratory data processing and review features, and ensure secure, auditable, reliable delivery across AWS, Azure, and restricted environments.

Requirements

The role requires strong Python and TypeScript/React skills, advanced SQL and PostgreSQL knowledge, hands-on Docker experience, and production experience with AWS and Azure. Candidates should also have experience with Terraform, GitHub Actions, customer-environment deployments, and performant data-heavy interfaces; a specific number of years or a degree is not required.

Skills

Python
TypeScript
React
AWS
Microsoft Azure
PostgreSQL
Docker
Terraform
GitHub Actions
FastAPI
SQL
Data-Heavy Interface Development
Containerized Deployment
CI/CD
Playwright
AI Coding Tools

Visa sponsorship

Not detected in the job text

Keywords

Python
FastAPI
NumPy
SciPy
SQLAlchemy
TypeScript
React
Vite
SVG
Canvas
Web Workers
PostgreSQL
AWS
Microsoft Azure
Docker
Terraform
GitHub Actions
Pytest
Playwright
S3
SQS
ECS Fargate
RDS
Azure Container Apps
AKS
Azure Blob Storage
Key Vault
CI/CD
Air-Gapped Deployments
Audit Trails

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