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Added 2 months ago
Q
Firmware Engineer, Principal
Qualcomm
Toronto, ON
- Full-time
The firmware team owns the full embedded software stack that controls the SerDes hardware, including low-level embedded firmware, customer-facing C SDKs, demo & automation scripts, and…
Added 4 months ago
TA
AI and Integration Architect
Tiger Analytics Inc.
Remote, Canada
- Remote
8+ years of experience in software architecture, system integration, or machine learning engineering, with at least 2-3 years dedicated to productionizing AI/LLM solutions.
Added 4 months ago
Digital Architect
Government of Alberta
Edmonton, Alberta
Proven experience in software development, systems analysis, solution design, or technical leadership roles, with demonstrated progression toward architectural responsibility.
Added 4 months ago
I
Senior AI Engineer
iManage
Toronto, Ontario
- Full-time
…critical information. You bring hands-on depth in both model development and the infrastructure required to ship it reliably, and you thrive at the intersection of machine learning,…
Added 2 months ago
GD
System Integration & Test, Intermediate
General Dynamics Missions System International
Ottawa, ON
- Full-time
You will work side-by-side with the customer in an Integrated Product Team environment and interact with software engineering, systems engineering, and management teams as required
Added 5 months ago
CS
Software Engineer - New Grad 2026
Cerebras Systems
Remote, Canada
- Full-time
- Remote
…systems, distributed infrastructure, or performance-oriented software engineering. Our teams work very closely with hardware, so candidates with experience primarily focused on higher-level…
Added 5 months ago
CS
DevOps Engineer - New Grad 2026
Cerebras Systems
Remote, Canada
- Full-time
- Remote
You will develop and maintain the infrastructure required to build, test, operate, simulate, and evaluate the Cerebras software stack. As a DevOps engineer, you will be responsible for…
Added 1 month ago
M(
Senior Software Developer, Search
MaintainX (An Autodesk Company)
Remote, Canada
- $107,000 to $195,000 CAD / year
- Full-time
- Remote
Comfortable using modern AI tools like GPT, Copilot, or Cursor to boost productivity and streamline development.
Added 5 months ago
M(
Senior Applied Scientist, Parts Intelligence & Inventory Optimization
MaintainX (An Autodesk Company)
Remote, Canada
- Full-time
- Remote
5+ years of professional software engineering or data science experience, with significant time spent on optimization, forecasting, or ML systems shipped to real users.
Added 4 months ago
Network Engineer, Foundation Services Automation
Meta
Quinte West, Ontario
Experience leveraging AI-assisted tools (e.g., Claude, Copilot, code generation models) for software development and coding efficiency
Added 4 months ago
Network Engineer, Foundation & Support
Meta
Quinte West, Ontario
Experience leveraging AI-assisted tools (e.g., claude, Copilot, code generation models) for software development and coding efficiency
Added 1 month ago
Senior QA Automation Engineer
Tubi - Canada
Toronto, ON
Help drive a shift-left testing approach by engaging early in the software development lifecycle, partnering with product managers, engineers, and data scientists to identify quality risks,…
Added 6 months ago
S
Generative AI Consultant
Sia
Toronto, Ontario
- $80,000 to $100,000 CAD / year
- Full-time
LLM/GenAI System Development: Design, build, train, fine-tune, and deploy sophisticated AI models leveraging LLMs (e.g., GPT-x, Claude, Gemini, Llama, Mistral) and other generative…
Added 4 months ago
N
Engine/Gameplay Architect - UGC / Architecte moteur / gameplay – UGC
NBCUniversal
Montreal, Quebec
- Full-time
Added 4 months ago
DG
Senior Research Scientist, Machine Learning (BioFM)
Deep Genomics
Toronto, Ontario
- Full-time
…learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are…
Added 2 months ago
C
Lead Phyton and Generative AI Engineer- Vice President
Citi
Remote, Canada
- Full-time
- Remote
Experience with software development agents, agile development, CI/CD pipelines, software testing, and code reviews.
Added 4 months ago
LH
AI Augmented Developer
LGI Healthcare Solutions Santé Inc.
Montreal, Quebec
- Full-time
AI is now an integral part of how we work. We use it to accelerate development, improve software quality, automate low-value tasks, and free our teams to focus on the most complex problems.
Added 1 month ago
GD
Software Engineers, Canadian Air
General Dynamics Missions System International
Ottawa, ON · Dartmouth, Nova Scotia
- Full-time
Performing software requirements analysis, design, development, testing, and integration
Added 2 months ago
GD
Software Engineer
General Dynamics Missions System International
Ottawa, ON
- $85,000 to $110,000 CAD / year
- Full-time
You will be part of an agile development team, responsible for designing, implementing and verifying software components for ISTAR commanders and operators. This role requires on-site work…
Added 1 month ago
GD
Senior System Engineering Analyst, Engineering (HQ SE)
General Dynamics Missions System International
Ottawa, ON
- $90,000 to $120,000 CAD / year
- Full-time
Career development through learning platforms, educational assistance, mentoring, and reimbursement of professional member
Added 4 months ago
GD
Technical Sales Manager
General Dynamics Missions System International
Calgary, Alberta
- Full-time
…value deals. This role demands a deep grasp of the technology (software, hardware, or integrated systems), the ability to translate technical features into business benefits, and a…
Added 4 months ago
Senior Full Stack AI Engineer
Ombud
Quinte West, Ontario
6+ years of professional full-stack software engineering experience, with demonstrated production system ownership.
Added 1 month ago
Staff Software Engineer, Internal Tools
Tubi - Canada
Toronto, ON
…structured during this phase of rapid platform integration and development? In this role, you will confront this ambiguity head-on - defining architectural patterns, implementing them in…
Added 4 months ago
Wireless Communications Systems Developer (SDR / Protocols / Embedded)
Octasic
Montreal, QC
We are looking for a Wireless Communications Systems Developer to join our software-defined radio team. The ideal candidate has strong experience in embedded software development, debugging…
Added 4 months ago
HT
Co-op Engineer - AI Software Engineering
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Internship
…integration, and long-term memory implementation to solve complex software engineering challenges. Developer Experience (DevEx) & Tooling: Strong commitment to building custom AI-assisted…

Tubi - Canada

Staff Software Engineer, Internal Tools

Toronto, ON, Canada

$164,600 - $235,100 CAD

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Applications open in a new tab.

Job details

Pay: $164,600 - $235,100 CAD
Experience: 8+ years of software engineering experience, with demonstrated ability to own and deliver complex systems end-to-end - from design through production operation.
Posting language: English
Posted: Sep 11, 2026

Original job description

About the Role:

We are looking for a Staff Engineer to steer the technical evolution of our AI-centric business platforms, which currently prioritize ad revenue operations such as cross-system intelligence, workflow automation, and document understanding. While the domain already supports live production traffic and active users, significant architectural challenges remain: how can non-deterministic AI be effectively integrated into workflows where business outcomes depend on high accuracy? Furthermore, how should system boundaries be structured during this phase of rapid platform integration and development? In this role, you will confront this ambiguity head-on - defining architectural patterns, implementing them in production, and validating their effectiveness.

About the Team:

Tubi’s Internal Tools team is at the forefront of AI integration, developing everything from developer resources to production-grade AI for business operations. We are the group responsible for turning AI from an experiment into an operating capability: training, infrastructure, developer agents, and AI-powered business systems. Engineers operate with high ownership and autonomy, collaborating on shared architectural decisions and AI infrastructure.

What You'll Do:

Define and drive the technical architecture of the AI platform - spanning extraction pipelines, confidence scoring, cross-system data aggregation, and user-facing intelligence layers. Ensure systems are modular, testable, and evolvable.
Own the platform's most complex subsystems and hardest design problems: reliability under non-determinism, integration across heterogeneous data sources, and progressive automation with appropriate human-in-loop gates.
Establish clear system boundaries and integration contracts with adjacent platforms. Design interfaces that are resilient to schema evolution and organizational change.
Ship consistently. Turn ambiguous requirements into working software that users see and trust. Bias toward iteration and measurable progress over extended design phases.
Mature the platform's AI systems from early-stage to production-grade: systematic validation, feedback loops that improve accuracy over time, and principled cost management.
Raise the engineering bar through code review, design discussions, and pairing. Provide clear technical analysis when leadership needs to understand trade-offs, feasibility, or risk.

Your Background:

Core Qualifications (Must-Haves)

8+ years of software engineering experience, with demonstrated ability to own and deliver complex systems end-to-end - from design through production operation.
Deep expertise in distributed systems design, fault tolerance, and building reliable systems from unreliable components.
Strong full-stack engineering fundamentals. Our stack: Node.js/TypeScript (backend, Express), React/TypeScript (frontend), PostgreSQL with Drizzle ORM, Python for ML pipeline components, OpenAI and Google Gemini APIs.
Demonstrated bias toward shipping. Track record of turning ambiguous problems into working systems on a reasonable timeline - not just designs or proposals.
Good technical judgment under uncertainty. Pragmatic trade-offs, knowing when "good enough" is right, and not over-engineering when the problem doesn't call for it.

Preferred Qualifications (Nice-to-Haves)

Experience designing systems that handle non-deterministic or probabilistic outputs (ML models, LLM pipelines, or similar) with appropriate confidence scoring and fallback strategies.
Familiarity with LLM application patterns: prompt engineering, multi-model orchestration, agentic tool use, and cost optimization for high-volume LLM workloads.
Experience with document AI or structured data extraction from unstructured sources (documents, image, natural language) at scale.
Background in ad tech, revenue operations, or media operations - order management, pricing logic, deal lifecycle.
Experience building over heterogeneous enterprise data sources with varying freshness, schemas, and access patterns.

The AI Mandate

Tubi expects engineers at all levels to leverage AI tools (Claude Code, Codex, Cursor, MCP integrations) to accelerate delivery, testing, and documentation. For this role specifically, AI goes further - it is not a feature on this platform but the reason the platform exists. You don't need to arrive as an AI expert, but you need to develop deep fluency quickly and apply it with production-grade discipline:

Trust Engineering: Building systems where human operators can progressively delegate to AI - and where the blast radius is contained when AI is wrong.
AI as Leverage: Thinking about AI as a force multiplier for a small team. The systems you build should measurably expand what the team can accomplish.
Cost Discipline: Treating AI spend as an engineering problem - optimizing for accuracy per dollar, not just accuracy alone.
Pragmatic Adoption: Evaluating new capabilities with a builder's eye - what to use now, what's hype, what to wait for.

Pursuant to local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is as listed annually below.

This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, vacation/paid time off and other benefits in accordance with applicable plan documents.

Toronto, Canada

$164,600 - $235,100 CAD

Tubi Media Group is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of employee benefits. The following distinctions below outline the differences between the Tubi and FOX benefits:

For all salaried employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time Off Policy to manage all personal matters.

For all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave (top up in Canada) within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX’s short-term disability policy (if applicable). This time is 100% paid through a combination of any applicable government leaves and wage-replacement programs in addition to contributions made by Tubi.

For all full-time, regular employees, Tubi offers a monthly wellness reimbursement.

About Tubi:

Boldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

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More about this job

Responsibilities

Lead the technical architecture of AI-centric business platforms, focusing on extraction pipelines and workflow automation. You will be responsible for turning ambiguous AI requirements into production-grade software while ensuring system reliability and scalability.

Requirements

Requires 8+ years of software engineering experience with deep expertise in distributed systems and full-stack development. Candidates must demonstrate a strong bias toward shipping working systems and the ability to handle non-deterministic AI outputs.

Skills

Distributed Systems Design
Full-stack Engineering
Node.js
TypeScript
React
PostgreSQL
Python
LLM Orchestration
Prompt Engineering
API Integration
System Architecture
Fault Tolerance
Document AI
Confidence Scoring
Data Aggregation
Technical Leadership

Benefits

Annual Discretionary Bonus
Long-term Incentive Plan
Medical Insurance
Dental Insurance
Vision Insurance
Vacation/Paid Time Off
Flexible Time Off Policy
Parental Leave Program

Visa sponsorship

Not detected in the job text

Keywords

AI
LLM
OpenAI
Google Gemini
Drizzle ORM
Express
Ad Tech
Revenue Operations
Non-deterministic Systems
Agentic Tool Use
Human-in-the-loop
Schema Evolution
Cross-system Intelligence
Workflow Automation
Document Understanding
Distributed Systems
Fault Tolerance
TypeScript
Node.js
React
Python
PostgreSQL
Claude Code
Codex
Cursor
MCP Integrations
Production-grade AI
Technical Architecture
Data Extraction

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