Find work in Canada.

603,871 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added just now
Agentic AI Security Specialist, Kitchener, ON
Siemens
Kitchener, ON
You hold the full product security mandate: threat models, identity and permission architecture, enforcement at the point where an agent calls a tool or triggers an action, isolation of…
Added 15 mins ago
J
Manager, Continuous Improvement
JLL
Toronto, ON · CAN-CORP Toronto-Toronto, Canada
- Full-time
Collaborate with JLL peers, regional and other practice leads, and subject matter experts to gain advantage from JLL’s global scope and scale.
Added 15 mins ago
A
Software Engineer
Actalent
Ottawa, ON
- $60 to $70 CAD / hour
- Contract
Added 30 mins ago
ST
Business Technology Support Engineer
Sensor Tower
Remote, Canada
- Full-time
- Remote
We are looking for a skilled Business Technology Support Engineer to join our team to manage the day to day information technology tools and facilities for our amazing global staff.
Added 30 mins ago
RA
Sr Controls Engineer, Body Controls
Rivian and Volkswagen Group Technologies
Remote, Canada
- $108,200 to $143,430 CAD / year
- Full-time
- Remote
We are seeking a dedicated and innovative Body Controls Engineer to join our team, focused on the Vehicle Management feature area. This role owns the development and integration of embedded…
Added 45 mins ago
T
Software Engineer II
TD
Toronto, ON
- Full-time
As a Software Engineer II, you provide technical expertise to implement scalable, reliable and secure solutions for EDMO Data Catalog services. You contribute to solutions that operate…
Added 1 hour ago
ML
3rd Class Engineer
Maple Leaf Foods Inc
Mississauga, ON
- Full-time
The Engineer job requires the employee to operate and maintain powerhouse and related equipment in a safe, effective and efficient manner in accordance with standard operating procedures.
Added 1 hour ago
Senior Software Developer (AI Platform & Applications)
Dayforce
Canada
Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa…
Added 2 hours ago
R&
Staff AI Builder
Robots & Pencils
Canada
- Full-time
…delivery of AI/ML systems. This role is ideal for an experienced engineer who thrives on architectural decisions, can confidently own systems end-to-end, and contributes to technical…
Added 2 hours ago
GP
Data Science Developer
Global Pharma Tek
ON · Ontario, Canada
- Contract
Job-Role/Title: Data Science /Data Engineer Developer
Added 2 hours ago
O
Assistant Interface Manager
ONxpress
Toronto, ON
- Full-time
…is a multidisciplinary Civils Joint Venture (CJV) team with global expertise in delivering innovative solutions for both railway and civil construction projects. Working under Alliance…
Added 2 hours ago
SS
Senior Automation Engineer- Agentic AI
Sapphire Stream Technology
Toronto, ON · Greater Toronto Area, Canada
- Full-time
SST is seeking an experienced Senior Agentic AI – Validation & Automation Engineer to join our engineering team in Markham, Ontario.
Added 2 hours ago
EA
Software Engineer III -Software Engineer III - Temporary Full Time
Electronic Arts
Vancouver, BC
- Full-time
Reporting to the Engineering Manager, we are seeking an experienced .NET Software Engineer with a strong DevOps background to join our Quality Verification and Standards (QVS) team. In this…
Added 3 hours ago
C
AI-Augmented Automation Engineer (Java & Selenium/Playwright)
Citi
Mississauga, ON
- Full-time
We are seeking an experienced Automation Engineer to drive end-to-end automation and spearhead AI-augmented testing practices within our Front Office Trading platform. In this role, you…
Added 4 hours ago
C
Software Engineer
Cisco
Ottawa, ON
- $130,400 to $181,400 CAD / year
- Full-time
…platform, engineering the critical services that ensure stability, security, and seamless lifecycle management for our global data center customers. By managing the core Kubernetes-based…
Added 6 hours ago
C
Software Engineer
Cisco
Ottawa, ON
- $116,700 to $165,800 CAD / year
- Full-time
…platform, engineering the critical services that ensure stability, security, and seamless lifecycle management for our global data center customers. By managing the core Kubernetes-based…
Added 6 hours ago
Security Risk Engineer
Asana
Vancouver, BC
As the Security Risk Engineer, you will own Asana's internal security risk management program end-to-end. This is a senior role for someone who goes beyond frameworks and checklists - you…
Added 6 hours ago
M
Cloud & AI Solution Engineer - Azure Platform
Microsoft
Toronto, ON
- Full-time
…challenges in the AI era? Join us as a Cloud & AI Solution Engineer - Azure Platform for enterprise and commercial customers at…
Added 6 hours ago
M
Solution Engineer - Cloud & AI Applications
Microsoft
Toronto, ON
- Full-time
…so, we invite you to join our team as a Cloud & AI Solution Engineer in AI Applications for Enterprise customers at Microsoft Canada. Here, you'll be at the forefront of innovation, working…
Added 7 hours ago
B
Platform Engineer RPA and Agentic Automation
BMO
Toronto, ON · BMOPLACE
- Full-time
The RPA Platform Engineer is responsible for the administration, support, monitoring, maintenance, and optimization of UiPath and WorkFusion platforms. The role ensures platform stability,…
Added 7 hours ago
IG
Software Engineer
Insight Global
Mississauga, ON
- $55 to $72 CAD / hour
- Contract
Solid understanding of cloud security, monitoring, and logging, including:
Added 8 hours ago
ML
3rd Class Engineer
Maple Leaf Foods Inc.
Mississauga, ON
- Full-time
We’re a global food company with approximately 10,000 team members. We operate sites in 20+ locations across Canada. We also have locations in the U.S. and Mexico, and do business in Asia.
Added 9 hours ago
Java Developer (Onsite Hybrid)
NTT DATA Services
Montreal, QC
NTT Data is seeking a Java Engineer to join the Firm Market Risk Technology team within Risk Tech to develop and enhance the Firm Market Risk Platform. This hands-on role focuses on…
Added 13 hours ago
R
Deployed Engineer
Randox
Toronto, ON
- $80,000 to $130,000 CAD / year
- Full-time
Randox are a world leader in diagnostics for clinical healthcare, toxicology, and food security. Our expertise and product portfolio have assisted laboratories across the world in improving…
Added 14 hours ago
C
DevOps Engineer
Corpay
Vancouver, BC
- Full-time
Ensures adherence to coding standards, testing, and security guidelines

Robots & Pencils

Staff AI Builder

Canada

Our salary range is $176,612 - $243,680 CAD · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: Our salary range is $176,612 - $243,680 CAD
Job type: Full-time
Experience: 6+ years of professional software engineering experience, including meaningful time shipping GenAI/LLM-powered systems in production - not just prototypes
Posting language: English
Posted: Nov 5, 2026

Original job description

We’re looking for a Staff AI Builder to lead the design and delivery of AI/ML systems. This role is ideal for an experienced engineer who thrives on architectural decisions, can confidently own systems end-to-end, and contributes to technical leadership across the team.

In this role, you will work as a key technical leader on a cross-functional team, defining AI architecture, leading model development and optimization, and solving challenging integration problems. You’ll be joining real, in-flight work where reliability, security, and scalability are critical. You’ll establish engineering standards, raise the bar on how we build AI systems, and contribute to the technical decisions that shape how our AI work scales over time.

Why This Role Matters

At Robots & Pencils, we design AI systems for a human world. Our name says it all. Robots and pencils means engineering paired with creativity, because every agent we ship has to work for real people in real workflows. That balance is baked into how we operate.

Every role here contributes directly to that mission. Here, you shape how AI systems integrate into enterprise operations, how teams move at real velocity, and how products create measurable impact for clients and the people they serve. We ship production-ready AI in 30 to 45 days. That pace demands people who take ownership, lead with craft, and care deeply about what they put their name on.

What You'll Do

Agentic & GenAI Engineering

Design and build agentic workflows - reasoning loops, tool/function calling, and orchestration across single- and multi-agent architectures - with clear judgment on which pattern fits the problem and which doesn't
Build and maintain RAG pipelines: chunking strategy, embeddings, vector search (OpenSearch), re-ranking, and staleness/refresh handling for dynamic knowledge sources
Integrate with AWS Bedrock and Agent Core, including MCP-based tool design - writing tool descriptions precise enough that an orchestrator routes correctly every time
Write and iterate on production system prompts - structured role framing, output constraints, and few-shot design - not just prompt tinkering
Build eval and observability into every agent you ship: golden datasets, RAGAS-style metrics, LLM-as-judge (as both a runtime guardrail and an offline eval), and tracing via LangFuse/LangSmith or equivalent
Design for LLM failure, not just LLM success: retries with backoff and jitter, circuit breakers, fallback models, and a clear user-facing story when something upstream degrades

Full-Stack & Platform Engineering

Build backend services in Python and Node.js, including serverless architectures (AWS Lambda, API Gateway) that support agentic workflows
Design DynamoDB single-table schemas - composite keys, transactional writes - for conversation state, agent memory, and session history
Support event-driven orchestration (Step Functions, SQS, EventBridge) for asynchronous agent operations, with an eye toward reliability and clean error handling
Contribute to frontend integration points so agentic features land cleanly for end users, and write clean, well-tested code across the stack
Support deployment, monitoring, and production troubleshooting in cloud-native environments (AWS, Docker), with guidance from senior engineers where needed

Collaboration & Technical Leadership

Bring informed technical judgment to architecture discussions - naming the real trade-offs of a pattern (e.g., gateway centralization vs. latency, single- vs multi-agent design) rather than defaulting to what's familiar
Partner with product, design, and delivery leads across global teams to scope and ship features end-to-end
Mentor other engineers on the pod and help raise the bar on agentic engineering practices, including AI-assisted development tools like Claude Code
Own assigned features and releases end-to-end - including the unglamorous parts: debugging, hardening, and keeping production systems trustworthy

What You'll Bring

6+ years of professional software engineering experience, including meaningful time shipping GenAI/LLM-powered systems in production - not just prototypes
Real, hands-on depth in agentic AI: reasoning loops, tool/function calling, multi-agent orchestration, and a considered point of view on when single-agent design beats multi-agent, and why
Practical RAG expertise: chunking strategies, embeddings, vector databases (OpenSearch or similar), cosine similarity search, and re-ranking - you can explain the mechanism, not just the terminology
Experience building evaluation and observability for LLM systems: golden datasets, LLM-as-judge, RAGAS or comparable metrics, and tracing tools like LangFuse/LangSmith
Strong prompt engineering skills - you can write a production system prompt with real structure and constraints on request, not just describe the concept
Hands-on experience with the AWS GenAI stack: Bedrock, Agent Core, Lambda, DynamoDB (single-table design), S3, SQS, EventBridge, Step Functions
Strong Python and Node.js skills, with experience building full-stack applications and RESTful APIs
Solid understanding of production reliability patterns for LLM-backed systems: retries/backoff, circuit breakers, fallback models - as a bundle, not a single tactic
Experience with containerization (Docker) and cloud-native deployment
Comfort owning ambiguous, integration-heavy problems, and the ability to go a level deeper when someone pushes on your answer instead of staying abstract

Helpful Extras and Unique Skills

Direct experience with Amazon Bedrock Agent Core - agent registration, MCP tool wiring, memory/session management, gateway provisioning
Experience in a regulated or high-stakes domain (education, healthcare, financial services) where evaluation rigor and reliability carry real consequences
Familiarity with workflow orchestration tools such as Step Functions, Sequencer, or similar state-machine-based systems
A point of view on LLM observability tooling, gained from actually running it in production rather than reading about it

Our salary range is $176,612 - $243,680 CAD

Apply About employer

More about this job

Responsibilities

Lead the architecture, development, optimization, and integration of production AI/ML systems, including agentic workflows, RAG pipelines, evaluation, and observability. Own features and releases end-to-end, establish engineering standards, mentor engineers, and collaborate across teams to deliver reliable, secure, and scalable AI products.

Requirements

Requires 6+ years of software engineering experience, including production experience with GenAI/LLM systems, agentic AI, RAG, and LLM evaluation and observability. Candidates should have strong Python and Node.js skills, hands-on experience with AWS GenAI and cloud services, and practical knowledge of reliability patterns, Docker, and full-stack application development.

Skills

Agentic AI
Generative AI
Large Language Models
Python
Node.js
AWS Bedrock
Amazon Bedrock Agent Core
Retrieval-Augmented Generation
OpenSearch
Prompt Engineering
LLM Evaluation
LLM Observability
DynamoDB
AWS Lambda
Event-Driven Architecture
Docker

Visa sponsorship

Not detected in the job text

Keywords

Agentic Workflows
Generative AI
Large Language Models
Multi-Agent Orchestration
Tool Calling
Retrieval-Augmented Generation
Embeddings
Vector Search
OpenSearch
Re-Ranking
AWS Bedrock
Amazon Bedrock Agent Core
Model Context Protocol
Prompt Engineering
LLM Evaluation
RAGAS
LLM-as-Judge
LangFuse
LangSmith
Python
Node.js
AWS Lambda
API Gateway
DynamoDB
Step Functions
Amazon SQS
Amazon EventBridge
Amazon S3
Docker
Retries and Circuit Breakers

Report this job