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Added 29 mins ago
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Dynamics 365 Business Central Developer
HabileLabs
Canada
- Contract
We’re looking for a senior developer who writes AL fluently, knows the standard data model without looking it up, and can turn messy business requirements into clean, upgrade-safe…
Added 29 mins ago
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Senior Product Designer (UI/UX) - Investments /Wealth
BeachHead
Toronto, ON
- $76.7 to $92.04 CAD / hour
- Contract
Working with one of our top financial clients, this role calls for a Senior Product Designer (UI/UX) - Investments /Wealth to create accessible, client-focused experiences for native iOS…
Added 29 mins ago
HT
Systems Testing / QA Specialist
Hirematic Talent Solutions
Toronto, ON
- $40 to $48 CAD / hour
- Contract
We are seeking an experienced Senior Systems Testing / QA Specialist with a strong background in software quality assurance and testing. The successful candidate will be responsible for…
Added 29 mins ago
OM
Senior Lead, Policies & Programs (People and Culture)
Ontario Medical Association
Toronto, ON
- Full-time
This role leads the research, development, and stewardship of staff policies and people programs that support a positive and inclusive employee experience. Working in partnership with…
Added 29 mins ago
I
Senior Consultant - IFS Cloud FSM Functional
Infosys
Mississauga, ON
- $92,740 to $105,007 CAD / year
- Full-time
Infosys is seeking a Senior Consultant with rich expertise in IFS FSM Cloud to drive large implementation and Support services for the client. The ideal candidate is a techno‑functional SME…
Added 1 hour ago
BI
Pega Lead System Architect
BURGEON IT SERVICES
Toronto, ON · Greater Toronto Area, Canada
- Contract
The Pega Lead System Architect is responsible for the end-to-end architecture, technical design, development governance, and successful implementation of enterprise applications built on…
Added 1 hour ago
I
Senior Consultant - Oracle RMCS and Financials Cloud
Infosys
Mississauga, ON
- $92,740 to $105,007 CAD / year
- Full-time
Infosys is looking for a seasoned Oracle cloud RMCS Lead with experience in Oracle Fusion Applications. The Oracle Cloud RMCS Solution Lead is responsible for leading end-to-end Oracle…
Added 1 hour ago
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Corporate Controller
Nanalysis
Calgary, AB · Greater Calgary Metropolitan Area
- Full-time
· Lead the corporation’s internal control development, monitoring and reporting
Added 1 hour 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 1 hour ago
AC
Development Lead (Back-end Systems)
Air Canada
Toronto, ON
- Full-time
The Development Lead is a senior, hands-on technical leader who drives technical direction, sprint execution, and delivery outcomes within an Agile delivery pod. This role owns technical…
Added 1 hour ago
SI
Pega Lead System Architect
Spruce InfoTech Inc.
Toronto, ON
- Contract
The Pega Lead System Architect is responsible for the end-to-end architecture, technical design, development governance, and successful implementation of enterprise applications built on…
Added 1 hour ago
Systems Analyst
F12.net
Victoria, BC
…a shared vision: to reduce risk and complexity by crafting technology platforms that empower leaders to focus and thrive. We elevate IT conversations from ingredients to outcomes,…
Added 2 hours ago
SD
Senior Technology Architect
Symbiotic Digital
Toronto, ON · Queen's Park Ontario Provincial Government, Ontario
- Contract
We are seeking a Senior Technology Architect with extensive
Added 2 hours ago
SD
IT Enterprise Architect
Symbiotic Digital
Toronto, ON · Downtown Toronto (Ryerson), Ontario
- Contract
We are seeking a Senior IT Enterprise Architect / Strategist
Added 2 hours ago
M
RQ11623 - Systems Testing/QA Specialist - Senior
Maarut
Toronto, ON
- Contract
development of test plans, test scripts and test cases and executing these
Added 2 hours ago
FC
Manager, Group Administration
First Canadian Financial Group
Edmonton, AB
- Full-time
You'll lead people and operations, but you'll also have the opportunity to influence how the function evolves - including processes, workflows, technology, service delivery, team capability…
Added 2 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 Manager, Donor Communications
Canadian Cancer Society
Vancouver, BC
- Full-time
You’re a senior communications and fundraising professional who wants to help transform the future of cancer by developing and delivering 1:many and 1:1 donor communications to support…
Added 3 hours ago
RT
Principal Adviser Remuneration Strategy
Rio Tinto
Montreal, QC
- Full-time
Lead the development and evolution of global base pay frameworks, methodologies and solutions, including where existing approaches need to evolve to meet changing business needs.
Added 3 hours ago
RT
Principal Advisor Remuneration
Rio Tinto
Montreal, QC
- Full-time
As a senior technical expert within our Reward area of expertise, you will lead defined areas of base pay analysis and solution development, working with Reward colleagues and stakeholders…
Added 4 hours ago
L
Senior Software Engineer - Data and AI Platforms
lululemon
Vancouver, BC
- Full-time
…lululemon operates. Through deep partnership with product, technology, and business teams, Enterprise Data & AI accelerates product innovation, unlocks measurable value, elevates guest and…
Added 7 hours ago
CO
Senior System Operator (LEC)
City of North Vancouver
North Vancouver, BC
- Full-time
…logic. Strong troubleshooting and analytical skills. Ability to lead operational activities and mentor staff. Strong communication and report-writing abilities. Proficiency with SCADA, BMS,…
Added 8 hours ago
RB
Senior Relationship Manager, Commercial Financial Services
Royal Bank of Canada
Halifax, NS
- Full-time
Apply your past business development experience for prospecting, and lead generation, to new and existing clients
Added 9 hours ago
B
Building Enclosure Engineer
BPA
Ottawa, ON · Kanata, ON
- Full-time
This is a senior, hands‑on role offering the opportunity to lead investigations, shape enclosure design and renewal strategies, review new construction designs, and validate performance…
Added 9 hours ago
CO
Director, Health, Safety, & Organizational Resilience
City of Saint John
Saint John, NB
- Full-time
Lead the development and execution of the City’s Corporate Safety Strategy, establishing strategic priorities, objectives, performance measures, and accountabilities that align occupational…

Robots and Pencils

Staff Engineer / AI Builder - Toronto

Toronto, ON, Canada

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

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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.

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More about this job

Responsibilities

Design and deliver production-grade agentic AI systems, including orchestration, RAG pipelines, prompts, evaluation, observability, and reliability safeguards. Build and support cloud-native services and integrations, make architecture decisions, mentor engineers, and own features and releases end-to-end.

Requirements

Requires 6+ years of software engineering experience, including production experience with GenAI/LLM systems, and hands-on expertise in agentic AI, RAG, evaluation, observability, and prompt engineering. Candidates should have 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
Large Language Models
RAG
Prompt Engineering
Python
Node.js
AWS Bedrock
Amazon Bedrock Agent Core
DynamoDB
OpenSearch
LLM Evaluation
LLM Observability
AWS Lambda
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
Embeddings
Vector Search
OpenSearch
Re-Ranking
AWS Bedrock
Amazon Bedrock Agent Core
Model Context Protocol
Prompt Engineering
RAGAS
LLM-as-Judge
LangFuse
LangSmith
Python
Node.js
AWS Lambda
DynamoDB
Step Functions
SQS
EventBridge
Docker
Serverless Architecture
Circuit Breakers
Retries and Backoff

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