Find work in Canada.

570,382 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 14 mins ago
GD
Senior Integrations Engineer
Globalfaces Direct
Toronto, ON · North York, ON
- $95,000 to $115,000 CAD / year
- Full-time
…(Insight), and Azure/SQL Server data pipelines. We are seeking a Senior Integrations Engineer to own the architecture, delivery, and reliability of secure, PCI-compliant integrations…
Added 44 mins ago
EI
Intermediate Traffic Engineer - Construction Staging
Egis in Canada
Toronto, ON
- $95,000 to $125,000 CAD / year
- Full-time
Intermediate Traffic Engineer - Construction Staging is a senior-level traffic engineering role based in Toronto, Ontario, Canada, supporting the planning, design, and delivery of…
Added 44 mins ago
EI
Municipal Engineer - Major Projects
Egis in Canada
Toronto, ON
- $95,000 to $130,000 CAD / year
- Full-time
Intermediate-to-Senior Municipal Engineer - Major Projects supports the delivery of large-scale transportation and municipal infrastructure programs in Toronto, Ontario, Canada. Working…
Added 44 mins ago
EI
Senior Traffic Engineer-(Construction Staging)
Egis in Canada
Toronto, ON
- $140,000 to $180,000 CAD / year
- Full-time
Senior Traffic Engineering Specialist (Construction Staging) based in Toronto, Ontario, Canada provides technical leadership for traffic engineering, construction staging, and…
Added 44 mins ago
OT Systems/Applications Design
Celestica International LP
Newmarket, ON
Review and interpret customer documentation, conduct appropriate research, analysis and experiments with minimal direction from senior staff.
Added 1 hour ago
K
Senior Analyst/Engineer - PSA and Risk Assessment
Kinectrics
Toronto, ON
- Full-time
Position: Senior Analyst/Engineer - PSA and Risk Assessment
Added 2 hours ago
Staff AI Developer - Vancouver
Robots and Pencils
Vancouver, BC
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…
Added 2 hours ago
RB
Water Resources Engineer
Recruitment By Design
Mississauga, ON
- $90,000 to $140,000 CAD / year
- Full-time
Our client, an employee-owned, Canadian multidisciplinary consulting engineering firm, is seeking an Intermediate/Senior Water Resources Engineer for their Mississauga office. This is a…
Added 2 hours ago
LA
Senior Project Engineering Manager - Power Generation
LVI Associates
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Our client is seeking a Senior Project Engineering Manager to lead the execution of complex power generation projects across engineering and EPC delivery programs. This individual will…
Added 2 hours ago
W
Mechanical Engineer-in-Training
Wood
Saskatoon, SK
- Full-time
Develop, plan, evaluate and recommend solutions for problems under the supervision of senior engineering staff
Added 3 hours ago
Staff Engineer / AI Builder - Toronto
Robots and Pencils
Toronto, ON
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…
Added 3 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Kelowna, BC
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 4 hours ago
S
Senior Electrical Engineer
Shell
Sarnia, ON
- Full-time
Shell is seeking a Senior Electrical Engineer to join its team in Sarnia.
Added 4 hours ago
MA
Lead / Principal Data Engineer - 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 9 hours ago
B
Building Enclosure Engineer
BPA
Ottawa, ON · Kanata, ON
- Full-time
We are seeking a Senior Building Enclosure Engineer to join our Building Science and Restoration team.
Added 10 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Toronto, ON
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 10 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Montreal, QC
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 10 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Quebec, QC
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 10 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Prince George, BC
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 10 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Halifax, NS
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 10 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Ottawa, ON
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 10 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Calgary, AB
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 12 hours ago
R
Founding Engineer, Build and Deployment
Rainharbor
Toronto, ON
- Full-time
…where a wrong answer is a broken commitment. You will be the engineer who makes sure it deserves that trust: helping shape the first release as it is built, proving it against its promises,…
Added 14 hours ago
TO
Engineering Manager
Town of Pelham
Fonthill, ON
- Full-time
Supervise assigned unionized staff according to the terms of the collective agreement including scheduling of work, preparing work plans, staff training, development, health and safety as…
Added 15 hours ago
K
Project Engineer/Analyst
Kinectrics
Tiverton, ON
- Full-time
Proactively identify, investigate, and with senior leader/senior engineer/scientists support resolve project risks

Robots and Pencils

Staff AI Developer - Vancouver

Vancouver, BC, Canada

The salary range for this role is $ $165,604 - $228,491 USD.

Apply About employer

Applications open in a new tab.

Job details

Pay: The salary range for this role is $ $165,604 - $228,491 USD.
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 3, 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
Legally authorized to work in Canada and eligible to secure immediate U.S. non-immigrant work authorization (e.g., TN status under USMCA) for mandatory weekly on-site client delivery (3 days/week) in the United States.

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

The below range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. The salary range for this role is $ $165,604 - $228,491 USD.  We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.

An offer of employment may be conditional upon successful completion of a background check in accordance with local legislation and our candidate privacy notice. Your current employer will not be contacted without your permission.  We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.

Apply About employer

More about this job

Responsibilities

Design, build, and operate production AI/ML systems, including agentic workflows, RAG pipelines, evaluation and observability, and reliable AWS-based services. Lead architecture and technical practices, collaborate across product and engineering teams, mentor engineers, and own features and releases through production support.

Requirements

Requires 6+ years of software engineering experience, including production GenAI/LLM systems, with hands-on expertise in agentic AI, RAG, evaluation, observability, and prompt engineering. Candidates need strong Python and Node.js skills, experience with AWS services and production reliability patterns, and authorization to work in Canada plus eligibility for immediate U.S. non-immigrant work authorization.

Skills

Agentic AI
Generative AI
Python
Node.js
AWS Bedrock
Amazon Bedrock Agent Core
Retrieval-Augmented Generation
OpenSearch
Prompt Engineering
LLM Evaluation
LLM Observability
DynamoDB
AWS Lambda
Step Functions
Docker
System Architecture

Benefits

Paid Time Off
Medical Insurance
Dental Insurance
Vision Insurance
401(k)

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
Generative AI
Large Language Models
Reasoning Loops
Tool Calling
Multi-Agent Orchestration
Retrieval-Augmented Generation
Chunking
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
SQS
EventBridge
Docker

Report this job