Jobs in Canada

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Added 11 days ago
RB
2027 Capital Markets, Global Equities, AI Engineer (16 Months, Co-op)
Royal Bank of Canada
Toronto, ON
- Full-time
We are particularly interested in candidates with strong technical expertise, a passion for data-driven problem-solving, and the ability to apply advanced AI techniques to real-world…
Added 11 days ago
R
2027 Capital Markets, Global Equities, AI Engineer (16 Months, Co-op)
RBC
Toronto, ON
- Full-time
We are particularly interested in candidates with strong technical expertise, a passion for data-driven problem-solving, and the ability to apply advanced AI techniques to real-world…
Added 11 days ago
E
APPLIED AI SOFTWARE DESIGNER
Ericsson
Ottawa, ON
- Full-time
We are seeking an Applied AI Software Designer with 2–4 years of software engineering experience and hands-on experience applying AI to developer workflows. You will use Large Language…
Added 11 days ago
I
Senior DevOps Engineer
iCOUNTER
Remote, Canada
- $136,000 to $170,000 CAD / year
- Full-time
- Remote
…security in the infrastructure you build, and partner closely with developers, QA, and IT operations to make shipping safe, routine, and…
Added 11 days ago
S
AI Engineer (Superhuman Mail) - Canada
Superhuman
Remote, Canada
- $128,000 to $210,000 CAD / year
- Full-time
- Remote
4-6+ years of software engineering experience with a strong backend foundation (Python or TypeScript is great, Go is a plus)
Added 11 days ago
Senior AI Engineer, IT Solutions 1 1 1
Celestica International LP
Toronto, ON
…(including Generative AI and RAG patterns), and collaborating with the Data Center of Excellence to deliver high-quality, production-ready AI tools that drive innovation and operational…
Added 11 days ago
AI Practise Lead (CCaaS)
Bell
Mississauga, ON
For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week
Added 11 days ago
B
AI Software Engineer
Bombardier
Dorval, QC
- Full-time
With our employees’ well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following:
Added 11 days ago
SC
Développeur Python IA (Senior)
SII Canada
Montreal, QC
- Full-time
…nous recherchons une personne expérimentée en développement Python, AI/ML et Generative AI afin de participer à la conception, au développement, à l’intégration et à l’optimisation de…
Added 11 days ago
JH
AI/ML Engineer
JAVA Holdings Ltd.
Remote, Canada
- Full-time
- Remote
…production AI operations. The successful candidate will collaborate with business stakeholders, Systems Development and IT to deliver secure, scalable and maintainable solutions using…
Added 11 days ago
JC
Senior Machine Learning Engineer - (Biometrics)
Jumio Corporation
Montreal, QC
- Full-time
We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production.…
Added 11 days ago
GD
System Integration Verification & Validation
General Dynamics Missions System International
Ottawa, ON
- Full-time
This position will include working with Windows Servers, Networking (routing, VLANs), Microsoft applications, radio secure bearers, voice and data networks, and various automation tools…
Added 12 days ago
S
Data Architect - Canada Region
Slalom
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams…
Added 12 days ago
QW
GenAI Engineer
Quantum World Technologies Inc.
Toronto, ON
- Contract
Integrate GenAI solutions with REST APIs, backend services, and enterprise systems.
Added 12 days ago
C
Winter 2027 : AI Developer Co-op (8 months)
CGI
Toronto, ON
- Full-time
The AI Developer (Co-op) will contribute to the design, development, and deployment of AI-powered software solutions, with a strong focus on Generative AI, Agentic AI, LLM integration, and…
Added 12 days ago
TR
Principal Engineer
Thomson Reuters
Toronto, ON
- Full-time
Expertise with modern UI frameworks (React, Angular, Vue, or similar), TypeScript, Node.js, and Python.
Added 12 days ago
CT
Generative AI Engineer
Celebal Technologies
Canada
- Full-time
We are seeking a motivated Generative AI Engineer with 1–3 years of experience in Machine Learning, Generative AI, and Large Language Models (LLMs). The ideal candidate should have strong…
Added 12 days ago
NS
Senior Data Architect
Nimble Science
Calgary, AB
- Full-time
Experience with data warehouses, data lakes, lake house and modern cloud-based data platforms.
Added 12 days ago
UH
Software Developer
University Health Network
Toronto, ON
- $81,816 to $102,270 CAD / year
- Full-time
Shifts: Day Shifts
Added 12 days ago
Staff AI Developer - Vancouver
Robots and Pencils
Vancouver, BC
Strong Python and Node.js skills, with experience building full-stack applications and RESTful APIs
Added 12 days ago
ES
Data Science Generative AI and Data Engineering
Enterprise Solutions Inc.
Toronto, ON
- Contract
Experience with Python, SQL, vector databases, embeddings, and AIML frameworks
Added 12 days ago
Staff Engineer / AI Builder - Toronto
Robots and Pencils
Toronto, ON
Strong Python and Node.js skills, with experience building full-stack applications and RESTful APIs
Added 12 days ago
GD
Research Scientist, Memory, Reasoning and Continual Learning, DeepMind
Google DeepMind
Toronto, ON
- Full-time
Experience with Deep Learning, Reinforcement Learning, Natural Language Processing, or architectures for Continual/Lifelong Learning.
Added 12 days ago
Research Scientist, Memory, Reasoning and Continual Learning, DeepMind
Google
Toronto, ON
Experience with Deep Learning, Reinforcement Learning, Natural Language Processing, or architectures for Continual/Lifelong Learning.
Added 12 days ago
C
Ingénieur de données senior
CGI
Montreal, QC
- Full-time
They work in modern analytics environments, primarily Azure, and collaborate with technical teams, business analysts, architects, BI teams and business stakeholders to deliver solutions…

Robots and Pencils

Staff AI Developer - Vancouver

Vancouver, BC, Canada

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

Apply on job-boards.greenhouse.io 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 on job-boards.greenhouse.io 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

Seniority

Senior

Perks

Generous paid time off
Retirement plan

Tools

AWS Bedrock
Bedrock Agent Core
OpenSearch
LangFuse
LangSmith
AWS Lambda
DynamoDB
Step Functions
Docker
Claude Code

Languages

English

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Work requirements

Jobs in Canada