Jobs in Canada

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Added 4 days ago
Data Scientist
Scotiabank
Toronto, ON
…will use AI/ML, experimentation, visualization, and robust Python skills to solve high-impact business challenges related to client experience and journey performance. Excellent business…
Added 4 days ago
RD
Senior Technical Analyst / Developer - Machine Learning & Data Engineering
Randstad Digital
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $130,000 CAD / year
- Full-time
Senior Technical Analyst / Developer (Machine Learning & Data Engineering)
Added 4 days ago
SM
RQ00244 – Data Science Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week at the client's Toronto office
Added 4 days ago
SI
Lead Applied AI Scientist
S-Solutions Inc- a SyeDyn Company
Toronto, ON · Greater Toronto Area, Canada
- Contract
7+ years in AI/ML, with at least 2 years building GenAI, agentic AI, or LLM-based solutions.
Added 4 days ago
SM
RQ00244 – Data Science Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week at the client's Toronto office
Added 4 days ago
E
System Test Analyst
Ericsson
Ottawa, ON
- Full-time
Assist in transforming our internal test daily workflows and processes, deploying and using Agentic AI or GenAI solutions, coupled with RAN System Verification knowledge. Am I using AI to…
Added 4 days ago
N
Sr AI Engineer
Nutrien
Saskatoon, SK
- Full-time
6+ years in software/ML engineering with 3+ years delivering production AI/ML or GenAI systems
Added 4 days ago
N
Sr AI Engineer
Nutrien
Calgary, AB
- Full-time
6+ years in software/ML engineering with 3+ years delivering production AI/ML or GenAI systems
Added 4 days ago
R&
Staff AI Builder
Robots & Pencils
Canada
- Full-time
Build backend services in Python and Node.js, including serverless architectures (AWS Lambda, API Gateway) that support agentic workflows
Added 4 days ago
GP
Data Science Developer
Global Pharma Tek
ON · Ontario, Canada
- Contract
Job-Role/Title: Data Science /Data Engineer Developer
Added 4 days ago
QC
Quality Assurance Engineer
Quarry Consulting
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Experience with automation technologies such as Selenium, Cypress, Playwright, Rest Assured, Java, Python, or equivalent frameworks.
Added 5 days ago
H
Artificial Intelligence Engineer
Hays
Toronto, ON
- Contract
We are looking for an AI Engineer with strong Python development experience and hands-on expertise in building and deploying Generative AI solutions.
Added 5 days ago
VS
Data Science Developer
vTech Solution Canada
Toronto, ON
- Contract
The Senior Data Science Developer will design, develop, and implement enterprise AI solutions, including Generative AI applications, intelligent agents, and reusable AI components. The role…
Added 5 days ago
A
Business Intelligence Analyst
Apotex
Toronto, ON · North York, ON
- $83,958 to $139,930 CAD / year
…and semantic models, and you will support well-scoped Copilot/GenAI agent workflows (e.g., intake triage, knowledge lookup, summarization, and drafting) by configuring prompts, validating…
Added 5 days ago
AI
Business Intelligence Analyst
Apotex Inc.
Toronto, ON · North York, ON
- $83,958 to $139,930 CAD / year
- Full-time
…and semantic models, and you will support well-scoped Copilot/GenAI agent workflows (e.g., intake triage, knowledge lookup, summarization, and drafting) by configuring prompts, validating…
Added 5 days ago
M
Senior Java Developer (with LLM expertise)
Miratech
Waterloo, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 5 days ago
GT
Lead Data Engineer / Data Product Lead – Snowflake
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $60 to $80 CAD / hour
- Contract
Design and build scalable data solutions using Databricks, PySpark, Spark SQL, Delta Lake, and Python.
Added 5 days ago
AI
Senior Forward Deployed AI Engineer (Python, Data & GenAI)
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Profile unfamiliar data using Python, pandas, PySpark, and SQL to assess coverage, quality, volumes, distributions, edge cases, and feasibility.
Added 5 days ago
B
Senior Databricks Data Platform Engineer
Brillio
Canada
- Contract
…and you will measure your success in platform reliability, developer productivity, and dollars…
Added 5 days ago
AC
Data Engineer - Snowflake, dbtCore/Cloud, AWS
Aviva Canada
Markham, ON
- Full-time
Code Ownership: Write and maintain clean, reusable code in SQL, Python, Shell, and Terraform.
Added 5 days ago
E
System Test Analyst
Ericsson
Ottawa, ON
- Full-time
Assist in transforming our internal test daily workflows and processes, deploying and using Agentic AI or GenAI solutions, coupled with RAN System Verification knowledge. Am I using AI to…
Added 5 days ago
T
Senior AI Developer / Generative AI Engineer
ThoughtStorm
Toronto, ON
- Contract
Strong hands-on expertise in Python and SQL, with experience in software engineering and developing production-ready AI applications and enterprise solutions.
Added 5 days ago
Data Engineer - Snowflake, dbtCore/Cloud, AWS
Aviva
Markham, ON
Code Ownership: Write and maintain clean, reusable code in SQL, Python, Shell, and Terraform.
Added 5 days ago
E
Applied Researcher
eBay
Toronto, ON
- Full-time
…business goals through automation, machine learning including GenAI. This is a high-impact and fast-growing area with significant business potential, requiring work with massive datasets…
Added 5 days ago
H
Senior WMS Implementation Engineer
Hays
Canada
- $95 to $100 CAD / hour
- Contract
Proficient in Python for data science and GenAI application development

Robots & Pencils

Staff AI Builder

Canada

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

Apply on LinkedIn 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 on LinkedIn 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

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Work requirements

Jobs in Canada