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Added 5 mins ago
T
Senior Python Test Automation Engineer
Telesat
Ottawa, ON
- Full-time
Validate Kafka-based event-driven workflows, messaging, and data integrity.
Added 5 mins ago
B
Director, Capital Markets - Capital Allocation & Management
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Toronto, ON · FCP
- Full-time
The Director, Financial Resource and Risk Integration help lead the translation of CAM's capital and resource framework into financial decision-making, with a focus on consistent financial…
Added 5 mins ago
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Finance - Senior Manager/Manager, Business Finance, Digital
Aritzia
Vancouver, BC
- Full-time
o Data visualization and analytics tools (e.g., Power BI, Tableau)
Added 5 mins ago
M
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- Full-time
…done together”), and anchored in accountability (“Own it”). We lead with empathy and integrity (“Share your humanity” and “Do the right thing”), while continuously challenging the status…
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- Full-time
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Added 19 mins ago
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Senior Research Scientist
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- $130,000 to $156,000 CAD / year
- Full-time
As Senior Research Scientist at the Medical Council of Canada (MCC), you'll lead a research and scholarship program that directly shapes how physicians are assessed, trained, and supported…
Added 19 mins ago
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Senior Auditor
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- Full-time
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Senior Credit Analyst
National Bank of Canada
Toronto, ON
- Full-time
…rules governing the securities industry. Your work will also lead you to carry out simple and complex analysis scenarios to meet client requests with a view to sound risk management and…
Added 19 mins ago
C
Enterprise Architect (Salesforce) – Healthcare & Life Sciences
Customertimes
Canada
- Full-time
…with deep expertise in Healthcare and Life Sciences (HLS) and data background. You’ll lead the design of complex enterprise solutions with Salesforce at the core, connected to ERP, data…
Added 19 mins ago
NW
Sales Manager
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Vancouver, BC
- $90,000 to $100,000 CAD / year
- Full-time
Lead, supervise and coach the residential sales team to achieve established revenue, gross margin, sales conversion and customer service objectives.
Added 19 mins ago
T&
Director, Capital Investment & Decision Support
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Vancouver, BC
- Full-time
The Director, Capital Investment & Decision Support will lead and grow AMCL’s Capital Investment & Decision Support capability, working with asset-intensive organizations to improve how…
Added 19 mins ago
T
Senior Business Analyst
TEEMA
Vancouver, BC
- $53 to $57 CAD / hour
- Contract
Focus: Enterprise Systems | Data & Analytics | Cloud Transformation
Added 19 mins ago
CA
Director, Admissions & Referent Relations
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Markham, ON
- Full-time
…utilization, including training, system administration, and data integrity…
Added 19 mins ago
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Data Integration Engineer
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Toronto, ON · Etobicoke, ON
- Full-time
…where intelligent tools support better outcomes while people lead the decisions that…
Added 19 mins ago
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AI Operations Analyst
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Montreal, QC
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You will combine AI, automation, data, and business strategy to build a scalable lead generation pipeline and identify what drives revenue.
Added 19 mins ago
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Member Engagement Manager
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The Manager uses membership data, reporting, and established processes to identify opportunities for growth and improvement, while continuously refining the member experience and supporting…
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Added 20 mins ago
Senior Digital Product Owner, Scotia Wealth Management
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Toronto, ON
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Added 20 mins ago
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Contract Manager
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Remote, Canada
- Full-time
- Remote
Establish data standards, naming conventions, and workflows so contract data is accurate, complete, and reportable.
Added 20 mins ago
B
Risk and Fraud Analyst
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- Full-time
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Added 35 mins ago
Solution Architect
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Edmonton, AB
…have the opportunity to design and deliver scalable enterprise data, analytics and AI capabilities. This hands-on role will build trusted data products, shared platforms and reusable…
Added 35 mins ago
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Senior Manager, Treasury Liquidity Measurement
TD
Toronto, ON
- Full-time
Lead the strategic delivery and continuous evolution of enterprise liquidity measurement and analytics. You will advance product expertise, data engineering, automation, forecasting,…
Added 35 mins ago
S
Director, Product Development
StarTech.com
Canada
- Full-time
Drive data-informed decision-making, leveraging analytics and AI tools to identify opportunities and solve complex product challenges.
Added 35 mins ago
T
Manager, Business Management & Strategic Initiatives
TD
Toronto, ON
- Full-time
Lead or support the analysis, planning and execution of priority PWM strategic initiatives and emerging leadership priorities.

Robots & Pencils

Staff AI Developer - Toronto

Toronto, ON, Canada

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

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Job details

Pay: The salary range for this role is $ $165,604 - $228,491 USD.
Job type: Full-time
Apply by: Dec 3, 2026
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.

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More about this job

Responsibilities

Design, build, and operate production agentic AI systems, including orchestration, RAG pipelines, prompts, evaluation, observability, and reliability safeguards. Lead architecture and technical practices, deliver full-stack and AWS platform integrations, mentor engineers, and own features and releases end-to-end.

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 should be strong in Python, Node.js, and AWS services, understand production reliability and Docker, and be authorized to work in Canada and eligible 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
Event-Driven Architecture
Docker
Multi-Agent Orchestration

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
Python
Node.js
AWS Bedrock
Amazon Bedrock Agent Core
Model Context Protocol
Retrieval-Augmented Generation
OpenSearch
Vector Search
Embeddings
Re-Ranking
Prompt Engineering
LLM Evaluation
RAGAS
LLM-as-Judge
LangFuse
LangSmith
AWS Lambda
API Gateway
DynamoDB
Amazon S3
Amazon SQS
Amazon EventBridge
AWS Step Functions
Docker
Multi-Agent Orchestration
Serverless Architecture
Circuit Breakers

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